Pre-processing of mass spectrometry-based metabolomics data with quantification and identification based on MS1 and MS2 data.
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Pre-processing of mass spectrometry-based metabolomics data with quantification and identification based on MS1 and MS2 data .
Introduction
nf-core/metaboigniter is bioinformatics pipeline for pre-processing of mass spectrometry-based metabolomics data.
The workflow performs MS1 based quantification and MS2 based identification using combination of different modules. The following steps can be performed using the workflow:
-
Centroiding (optional): Also referred to as peak pickering is a step that reduce the distribution of ions derived from a single mass to the peak of the distribution.
-
parameter tuning using IPO: MS1 quantification and library characterization parameters can be tuned using IPO
-
mass trace detection: The ions derived from the same analytes are clustered together forming a mass trace. These are the entities that will be used for quantification.
-
mass trace matching and retention time (RT) correction: The mass traces across different samples will be match against each other and RT shift between the samples will be adjusted.
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filtering (optional): The mass traces will be filtered out based on the QC samples.
-
Annotation: The isotopes and adducts will be annotated in this step.
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MS2 (identification): At the moment we support two types of identification: in-silico and identificaiton based on internal library. This will be expanded in the corresponding section. At the moment we do not support MS1-based identification.
The pipeline is built using Nextflow , a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.
Quick Start
-
Install
nextflow
(>=20.04.0
) -
Install any of
Docker
,Singularity
,Podman
,Shifter
orCharliecloud
for full pipeline reproducibility (please only useConda
as a last resort; see docs ) -
Download the pipeline and test it on a minimal dataset with a single command
nextflow run nf-core/metaboigniter -profile test,<docker/singularity/podman/shifter/charliecloud/conda/institute>
Please check nf-core/configs to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use
-profile <institute>
in your command. This will enable eitherdocker
orsingularity
and set the appropriate execution settings for your local compute environment. -
Start running your own analysis!
We highly recommend that you follow our usage documentation . Since the number of parameters is large, it's going to be a fairly complex bash command to run the workflow. Nevertheless, the parameters can always be passed to the workflow as argument using two dashes "--".
See usage docs for all of the available options when running the pipeline.
Documentation
The nf-core/metaboigniter pipeline comes with documentation about the pipeline: usage and output .
Credits
nf-core/metaboigniter was originally written by Payam Emami.
Contributions and Support
If you would like to contribute to this pipeline, please see the contributing guidelines .
For further information or help, don't hesitate to get in touch on Slack (you can join with this invite ).
Citation
If you use nf-core/metaboigniter for your analysis, please cite it using the following doi: 10.5281/zenodo.4743790
You can cite the
nf-core
publication as follows:
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x .
In addition, references of tools and data used in this pipeline are as follows:
Kuhl C, Tautenhahn R, Boettcher C, Larson TR and Neumann S: CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets. Anal Chem 84:283-289.
Benton HP, Wong DM, Trauger SA, Siuzdak G: XCMS2: Processing Tandem Mass Spectrometry Data for Metabolite Identification and Structural Characterization. Anal Chem 80(16):6382-6389. doi:10.1021/ac800795f.
Sturm M, Bertsch A, Gröpl C, Hildebrandt A, Hussong R, Lange E, Pfeifer N, Schulz-Trieglaff O, Zerck A, Reinert K, Kohlbacher O. OpenMS – an Open-Source Software Framework for Mass Spectrometry. BMC Bioinformatics. 2008;9:163. doi:10.1186/1471-2105-9-163.
Libiseller G, Dvorzak M, Kleb U, Gander E, Eisenberg T, Madeo F, Neumann S, Trausinger G, Sinner F, Pieber T, Magnes C ((2015)). “IPO: a tool for automated optimization of XCMS parameters.” BMC Bioinformatics, 16, 118.
Kai Dührkop, Huibin Shen, Marvin Meusel, Juho Rousu, and Sebastian Böcker. Searching molecular structure databases with tandem mass spectra using CSI:FingerID. Proc Natl Acad Sci U S A, 112(41):12580-12585, 2015. (cite this when using CSI:FingerID)
Ruttkies C., Schymanski E.L. et al, MetFrag relaunched: incorporating strategies beyond in silico fragmentation. Journal of Cheminformatics, 2016, 8:3.
Allen F, Greiner R, and Wishart D. Computational prediction of electron ionization mass spectra to assist in GC-MS compound identification. Submitted, 2016.
Kerstin Scheubert, Franziska Hufsky, Daniel Petras, Mingxun Wang, Louis-Felix Nothias, Kai Dührkop, Nuno Bandeira, Pieter C Dorrestein, Sebastian Böcker. Significance estimation enabling large scale untargeted metabolomics annotations. Nature Communications, 2017. 8(1494)
Third party software copyright
nf-core/metaboigniter contains several scripts for performing various pre-processing steps.
The following software have not been written by us:
-
MetFrag (GNU LGPL v2.1 or later). Files included:
-
bin/metfrag
-
bin/metfrag.jar
-
-
jni-inchi (GNU LGPL v3). Files include:
-
bin/jni-inchi-0.8.jar
-
The rest of the scripts has been originally written by Payam Emami as part of PhenoMeNal (Phenome and Metabolome aNalysis) consortium .
Code Snippets
423 424 425 426 427 428 429 430 431 432 433 434 435 | """ echo $workflow.manifest.version > v_pipeline.txt echo $workflow.nextflow.version > v_nextflow.txt Rscript -e "cat(as.character(packageVersion('CAMERA')),'\\n')" &> v_camera.txt Rscript -e "cat(as.character(packageVersion('xcms')),'\\n')" &> v_xcms.txt Rscript -e "cat(as.character(packageVersion('MSnbase')),'\\n')" &> v_msnbase.txt Rscript -e "cat(as.character(packageVersion('IPO')),'\\n')" &> v_ipo.txt OpenMSInfo | grep -oP -m 1 '([0-9][.][0-9][.][0-9])' &> v_openms.txt sh /usr/bin/CSI/bin/sirius.sh --loglevel=OFF --version 2>1 | grep -oP -m 1 '([0-9][.][0-9][.][0-9])' &> v_sirius.txt scrape_software_versions.py &> software_versions_mqc.yaml """ |
463 464 465 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
492 493 494 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
516 517 518 519 520 521 522 523 524 525 526 527 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 | """ touch quant_params_pos.json touch rt_params_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_pos_globalAvoidRT \\ allSamples=$params.ipo_allSamples_pos \\ columnToSelect=$params.ipo_columnToSelect_pos \\ valueToSelect=$params.ipo_valueToSelect_pos \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ncores=$params.ipo_ncores_pos \\ outputxset=quant_params_pos.json \\ outputrt=rt_params_pos.json """ |
639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_pos_xcms \\ noise=$params.noise_quant_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ mzdiff=$params.mzdiff_quant_pos_xcms \\ snthresh=$params.snthresh_quant_pos_xcms \\ prefilter_l=$params.prefilter_quant_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_pos_xcms \\ integrate=$params.integrate_quant_pos_xcms \\ fitgauss=$params.fitgauss_quant_pos_xcms \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ ipo_inv=$ipo_pos_localQ \\ $filter_argument """ |
710 711 712 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
733 734 735 736 737 738 739 740 741 742 743 744 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 | """ touch quant_params_pos.json touch rt_params_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_pos_globalAvoidRT \\ allSamples=$params.ipo_allSamples_pos \\ columnToSelect=$params.ipo_columnToSelect_pos \\ valueToSelect=$params.ipo_valueToSelect_pos \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ncores=$params.ipo_ncores_pos \\ outputxset=quant_params_pos.json \\ outputrt=rt_params_pos.json """ |
854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_pos_xcms \\ noise=$params.noise_quant_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ mzdiff=$params.mzdiff_quant_pos_xcms \\ snthresh=$params.snthresh_quant_pos_xcms \\ prefilter_l=$params.prefilter_quant_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_pos_xcms \\ integrate=$params.integrate_quant_pos_xcms \\ fitgauss=$params.fitgauss_quant_pos_xcms \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ ipo_inv=$ipo_pos_localQ \\ $filter_argument """ |
921 922 923 924 | """ nextFlowDIR=\$PWD xcmsCollect.r input=$inputs_aggregated output=collection_pos.rdata """ |
948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 | """ retCor.r \\ input=\$PWD/$rdata_files \\ output=RTcorrected_pos.rdata \\ method=obiwarp \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ipo_inv=$ipo_pos_localRT \\ ncores=$params.ipo_ncores_pos \\ profStep=$params.profStep_align_N1_pos_xcms \\ center=$params.center_align_N1_pos_xcms \\ response=$params.response_align_N1_pos_xcms \\ distFunc=$params.distFunc_align_N1_pos_xcms \\ gapInit=$params.gapInit_align_N1_pos_xcms \\ gapExtend=$params.gapExtend_align_N1_pos_xcms \\ factorDiag=$params.factorDiag_align_N1_pos_xcms \\ factorGap=$params.factorGap_align_N1_pos_xcms \\ localAlignment=$params.localAlignment_align_N1_pos_xcms \\ $filter_argument \\ inputraw=$inputs_aggregated """ |
1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 | """ group.r \\ input=$rdata_files \\ output=groupN1_pos.rdata \\ bandwidth=$params.bandwidth_group_N1_pos_xcms \\ minfrac=$params.minfrac_group_N1_pos_xcms \\ minsamp=$params.minsamp_group_N1_pos_xcms \\ max=$params.max_group_N1_pos_xcms \\ mzwid=$params.mzwid_group_N1_pos_xcms """ |
1042 1043 1044 1045 1046 1047 1048 1049 1050 | """ blankfilter.r \\ input=$rdata_files \\ output=blankFiltered_pos.rdata \\ method=$params.method_blankfilter_pos_xcms \\ blank=$params.blank_blankfilter_pos_xcms \\ sample=$params.sample_blankfilter_pos_xcms \\ rest=$params.rest_blankfilter_pos_xcms """ |
1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 | """ dilutionfilter.r \\ input=$rdata_files \\ output=dilutionFiltered_pos.rdata \\ Corto=$params.corto_dilutionfilter_pos_xcms \\ dilution=$params.dilution_dilutionfilter_pos_xcms \\ pvalue=$params.pvalue_dilutionfilter_pos_xcms \\ corcut=$params.corcut_dilutionfilter_pos_xcms \\ abs=$params.abs_dilutionfilter_pos_xcms """ |
1108 1109 1110 1111 1112 1113 1114 | """ cvfilter.r \\ input=$rdata_files \\ output=cvFiltered_pos.rdata \\ qc=$params.qc_cvfilter_pos_xcms \\ cvcut=$params.cvcut_cvfilter_pos_xcms """ |
1137 1138 1139 | """ xsAnnotate.r input=$rdata_files output=CameraAnnotatePeaks_pos.rdata """ |
1158 1159 1160 1161 1162 1163 1164 1165 | """ groupFWHM.r \\ input=$rdata_files \\ output=CameraGroup_pos.rdata \\ sigma=$params.sigma_group_pos_camera \\ perfwhm=$params.perfwhm_group_pos_camera \\ intval=$params.intval_group_pos_camera """ |
1185 1186 1187 1188 1189 1190 1191 | """ findAdducts.r \\ input=$rdata_files \\ output=CameraFindAdducts_pos.rdata \\ ppm=$params.ppm_findaddcuts_pos_camera \\ polarity=$params.polarity_findaddcuts_pos_camera """ |
1210 1211 1212 1213 1214 1215 | """ findIsotopes.r \\ input=$rdata_files \\ output=CameraFindIsotopes_pos.rdata \\ maxcharge=$params.maxcharge_findisotopes_pos_camera """ |
1241 1242 1243 1244 1245 1246 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}.rdata \\ inputname=${mzMLFile.baseName} """ |
1268 1269 1270 1271 1272 1273 1274 1275 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$input_args \\ output=MapMsms2Camera_pos.rdata \\ ppm=$params.ppm_mapmsmstocamera_pos_msnbase \\ rt=$params.rt_mapmsmstocamera_pos_msnbase """ |
1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 | """ mkdir out MS2ToMetFrag.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=out \\ precursorppm=$params.precursorppm_msmstoparam_pos_msnbase \\ fragmentppm=$params.fragmentppm_msmstoparam_pos_msnbase \\ fragmentabs=$params.fragmentabs_msmstoparam_pos_msnbase \\ database=$params.database_msmstoparam_pos_msnbase \\ mode=$params.mode_msmstoparam_pos_msnbase \\ adductRules=$params.adductRules_msmstoparam_pos_msnbase \\ minPeaks=$params.minPeaks_msmstoparam_pos_msnbase ls out/ -A -1 | cut -d'_' -f4- | tr ' ' '\n' | sort -u | xargs -I % find out/ -type f -iname *% -exec zip %.zip {} + """ |
1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}_class_Csifingerid_pos.csv fingerID.r \\ input=\$PWD/inputs \\ database=$params.database_csifingerid_pos_csifingerid \\ tryOffline=T \\ output=\$PWD/outputs/ \\ ncores=$params.ncore_csifingerid_pos_csifingerid \\ timeout=$params.timeout_csifingerid_pos_csifingerid \\ canopus=T \\ canopusOutput=\$PWD/${parameters.baseName}_class_Csifingerid_pos.csv zip -j -r ${parameters.baseName}_Csifingerid_pos.zip outputs/*.csv """ |
1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r Csifingerid_pos.zip all aggregateMetfrag.r \\ inputs=Csifingerid_pos.zip \\ realNames=Csifingerid_pos.zip \\ output=aggregated_identification_csifingerid_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_csifingerid_pos.csv """ |
1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_csifingerid_pos.csv \\ readTable=T else touch pep_identification_csifingerid_pos.csv fi """ |
1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 | """ if [ -s $csifingerid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$csifingerid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_csifingerid.txt \\ outputVariables=varsPOSout_pos_csifingerid.txt \\ outputMetaData=metadataPOSout_pos_csifingerid.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_csifingerid.txt \\ outputVariables=varsPOSout_pos_csifingerid.txt \\ outputMetaData=metadataPOSout_pos_csifingerid.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_pos_metfrag \\ run_metfrag.sh \\ -p {} \\ -f \$PWD/outputs/{/.}.csv \\ -l "\$PWD/$metfrag_database" \\ -s "OfflineMetFusionScore" zip -j -r ${parameters.baseName}_metfrag_pos.zip outputs/*.csv """ |
1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r metfrag_pos.zip all aggregateMetfrag.r \\ inputs=metfrag_pos.zip \\ realNames=metfrag_pos.zip \\ output=aggregated_identification_metfrag_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_metfrag_pos.csv """ |
1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 | """ if [ -s $identification_result ];then metfragPEP.r \\ input=$identification_result \\ score=FragmenterScore \\ output=pep_identification_metfrag_pos.csv \\ readTable=T else touch pep_identification_metfrag_pos.csv fi """ |
1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 | """ if [ -s $metfrag_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$metfrag_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_metfrag.txt \\ outputVariables=varsPOSout_pos_metfrag.txt \\ outputMetaData=metadataPOSout_pos_metfrag.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_metfrag.txt \\ outputVariables=varsPOSout_pos_metfrag.txt \\ outputMetaData=metadataPOSout_pos_metfrag.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_pos_cfmid cfmid.r \\ input={} \\ realName={/} \\ databaseFile=\$PWD/$cfmid_database \\ output=\$PWD/outputs/{/.}.csv \\ candidate_id=$params.candidate_id_identification_pos_cfmid \\ candidate_inchi_smiles=$params.candidate_inchi_smiles_identification_pos_cfmid \\ candidate_mass=$params.candidate_mass_identification_pos_cfmid \\ databaseNameColumn=$params.database_name_column_identification_pos_cfmid \\ databaseInChIColumn=$params.database_inchI_column_identification_pos_cfmid \\ scoreType=Jaccard zip -j -r ${parameters.baseName}_cfmid_pos.zip outputs/*.csv """ |
1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r cfmid_pos.zip all aggregateMetfrag.r \\ inputs=cfmid_pos.zip \\ realNames=cfmid_pos.zip \\ output=aggregated_identification_cfmid_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_cfmid_pos.csv """ |
1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=Jaccard_Score \\ output=pep_identification_cfmid_pos.csv \\ readTable=T else touch pep_identification_cfmid_pos.csv fi """ |
1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 | """ if [ -s $cfmid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$cfmid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_cfmid.txt \\ outputVariables=varsPOSout_pos_cfmid.txt \\ outputMetaData=metadataPOSout_pos_cfmid.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_cfmid.txt \\ outputVariables=varsPOSout_pos_cfmid.txt \\ outputMetaData=metadataPOSout_pos_cfmid.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1907 1908 1909 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
1930 1931 1932 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 | """ touch quant_params_library_pos.json touch rt_params_library_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ response_l=$params.ipo_response_l_library_pos \\ response_h=$params.ipo_response_h_library_pos \\ distFunc=$params.ipo_distFunc_library_pos \\ factorDiag_l=$params.ipo_factorDiag_l_library_pos \\ factorDiag_h=$params.ipo_factorDiag_h_library_pos \\ factorGap_l=$params.ipo_factorGap_l_library_pos \\ factorGap_h=$params.ipo_factorGap_h_library_pos \\ localAlignment=$params.ipo_localAlignment_library_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_pos \\ ipo_profStep_l=$params.ipo_profStep_l_library_pos \\ ipo_profStep_h=$params.ipo_profStep_h_library_pos \\ bw_l=$params.ipo_bw_l_library_pos \\ bw_h=$params.ipo_bw_h_library_pos \\ minfrac_l=$params.ipo_minfrac_l_library_pos \\ minfrac_h=$params.ipo_minfrac_h_library_pos \\ mzwid_l=$params.ipo_mzwid_l_library_pos \\ mzwid_h=$params.ipo_mzwid_h_library_pos \\ minsamp_l=$params.ipo_minsamp_l_library_pos \\ minsamp_h=$params.ipo_minsamp_h_library_pos \\ max_l=$params.ipo_max_l_library_pos \\ max_h=$params.ipo_max_h_library_pos \\ ncores=$params.ipo_ncores_library_pos \\ outputxset=quant_params_library_pos.json \\ outputrt=rt_params_library_pos.json """ |
2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_pos_xcms \\ noise=$params.noise_quant_library_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_pos_xcms \\ mzdiff=$params.mzdiff_quant_library_pos_xcms \\ snthresh=$params.snthresh_quant_library_pos_xcms \\ prefilter_l=$params.prefilter_quant_library_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_pos_xcms \\ integrate=$params.integrate_quant_library_pos_xcms \\ fitgauss=$params.fitgauss_quant_library_pos_xcms \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ ipo_inv=$ipo_library_pos_localQ \\ $filter_argument """ |
2131 2132 2133 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2197 2198 2199 2200 2201 2202 2203 2204 2205 2206 2207 2208 2209 2210 2211 2212 2213 2214 2215 2216 2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 | """ touch quant_params_library_pos.json touch rt_params_library_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ response_l=$params.ipo_response_l_library_pos \\ response_h=$params.ipo_response_h_library_pos \\ distFunc=$params.ipo_distFunc_library_pos \\ factorDiag_l=$params.ipo_factorDiag_l_library_pos \\ factorDiag_h=$params.ipo_factorDiag_h_library_pos \\ factorGap_l=$params.ipo_factorGap_l_library_pos \\ factorGap_h=$params.ipo_factorGap_h_library_pos \\ localAlignment=$params.ipo_localAlignment_library_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_pos \\ ipo_profStep_l=$params.ipo_profStep_l_library_pos \\ ipo_profStep_h=$params.ipo_profStep_h_library_pos \\ bw_l=$params.ipo_bw_l_library_pos \\ bw_h=$params.ipo_bw_h_library_pos \\ minfrac_l=$params.ipo_minfrac_l_library_pos \\ minfrac_h=$params.ipo_minfrac_h_library_pos \\ mzwid_l=$params.ipo_mzwid_l_library_pos \\ mzwid_h=$params.ipo_mzwid_h_library_pos \\ minsamp_l=$params.ipo_minsamp_l_library_pos \\ minsamp_h=$params.ipo_minsamp_h_library_pos \\ max_l=$params.ipo_max_l_library_pos \\ max_h=$params.ipo_max_h_library_pos \\ ncores=$params.ipo_ncores_library_pos \\ outputxset=quant_params_library_pos.json \\ outputrt=rt_params_library_pos.json """ |
2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_pos_xcms \\ noise=$params.noise_quant_library_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_pos_xcms \\ mzdiff=$params.mzdiff_quant_library_pos_xcms \\ snthresh=$params.snthresh_quant_library_pos_xcms \\ prefilter_l=$params.prefilter_quant_library_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_pos_xcms \\ integrate=$params.integrate_quant_library_pos_xcms \\ fitgauss=$params.fitgauss_quant_library_pos_xcms \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ ipo_inv=$ipo_library_pos_localQ \\ $filter_argument """ |
2332 2333 2334 | """ xsAnnotate.r input=$rdata_files output=${rdata_files.baseName}.rdata """ |
2353 2354 2355 2356 2357 2358 2359 2360 | """ groupFWHM.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ sigma=$params.sigma_group_library_pos_camera \\ perfwhm=$params.perfwhm_group_library_pos_camera \\ intval=$params.intval_group_library_pos_camera """ |
2380 2381 2382 2383 2384 2385 2386 | """ findAdducts.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ ppm=$params.ppm_findaddcuts_library_pos_camera \\ polarity=$params.polarity_findaddcuts_library_pos_camera """ |
2406 2407 2408 2409 2410 2411 | """ findIsotopes.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ maxcharge=$params.maxcharge_findisotopes_library_pos_camera """ |
2432 2433 2434 2435 2436 2437 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}_ReadMsmsLibrary.rdata \\ inputname=${mzMLFile.baseName} """ |
2462 2463 2464 2465 2466 2467 2468 2469 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=${rdata_files_ms1.baseName}_MapMsms2Camera_library_pos.rdata \\ ppm=$params.ppm_mapmsmstocamera_library_pos_msnbase \\ rt=$params.rt_mapmsmstocamera_library_pos_msnbase """ |
2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 | """ mkdir out createLibrary.r \\ inputCAMERA=$rdata_camera \\ precursorppm=$params.ppm_create_library_pos_msnbase \\ inputMS2=$ms2_data \\ output=${rdata_camera.baseName}.csv \\ inputLibrary=$library_desc \\ rawFileName=$params.raw_file_name_preparelibrary_pos_msnbase \\ compundID=$params.compund_id_preparelibrary_pos_msnbase \\ compoundName=$params.compound_name_preparelibrary_pos_msnbase \\ mzCol=$params.mz_col_preparelibrary_pos_msnbase \\ whichmz=$params.which_mz_preparelibrary_pos_msnbase """ |
2530 2531 2532 2533 2534 2535 | """ collectLibrary.r \\ inputs=$aggregatecdlibrary \\ realNames=$aggregatecdlibrary \\ output=library_pos.csv """ |
2555 2556 2557 2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 2569 2570 2571 | """ #!env Rscript Files<-list.files(,pattern = "zip",full.names=T) Files_org<-list.files(,pattern = "zip") for(f in Files){ zip::unzip(zipfile = f,junkpaths = T) } Files<-list.files(,pattern = "txt",full.names=T) FilesTMP<-sapply(strsplit(split = "_",fixed = T,x = basename(Files)),function(x){paste(x[-1],collapse = "_")}) FileDub<-Files[duplicated(FilesTMP)] for(x in FileDub){ file.remove(x) } files_to_pass<-list.files(pattern="txt") files_to_pass<-files_to_pass[!files_to_pass%in%Files_org] zip::zip(zipfile="mappedtometfrag_pos.zip",files=files_to_pass) """ |
2593 2594 2595 2596 2597 2598 2599 2600 2601 2602 2603 2604 2605 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_pos.csv \\ -th "-1" \\ -im pos \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_pos_msnbase sed -i '/^\$/d' aggregated_identification_library_pos.csv """ |
2627 2628 2629 2630 2631 2632 2633 2634 2635 2636 2637 2638 2639 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_pos.csv \\ -th "-1" \\ -im pos \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_pos_msnbase sed -i '/^\$/d' aggregated_identification_library_pos.csv """ |
2659 2660 2661 2662 2663 2664 2665 2666 2667 2668 2669 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_library_pos.csv \\ readTable=T else touch pep_identification_library_pos.csv fi """ |
2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 | """ if [ -s $library_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$library_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_library.txt \\ outputVariables=varsPOSout_pos_library.txt \\ outputMetaData=metadataPOSout_pos_library.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_library.txt \\ outputVariables=varsPOSout_pos_library.txt \\ outputMetaData=metadataPOSout_pos_library.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 | """ prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_POS_noid.txt \\ outputVariables=varsPOSout_pos_noid.txt \\ outputMetaData=metadataPOSout_pos_noid.txt \\ Ifnormalize=$params.normalize_output_pos_camera """ |
2816 2817 2818 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
2844 2845 2846 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 | """ touch quant_params_neg.json touch rt_params_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_neg_globalAvoidRT \\ allSamples=$params.ipo_allSamples_neg \\ columnToSelect=$params.ipo_columnToSelect_neg \\ valueToSelect=$params.ipo_valueToSelect_neg \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ncores=$params.ipo_ncores_neg \\ outputxset=quant_params_neg.json \\ outputrt=rt_params_neg.json """ |
2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_neg_xcms \\ noise=$params.noise_quant_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ mzdiff=$params.mzdiff_quant_neg_xcms \\ snthresh=$params.snthresh_quant_neg_xcms \\ prefilter_l=$params.prefilter_quant_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_neg_xcms \\ integrate=$params.integrate_quant_neg_xcms \\ fitgauss=$params.fitgauss_quant_neg_xcms \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ ipo_inv=$ipo_neg_localQ \\ $filter_argument """ |
3057 3058 3059 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
3079 3080 3081 3082 3083 3084 3085 3086 3087 3088 3089 3090 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
3115 3116 3117 3118 3119 3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 3131 3132 3133 3134 3135 3136 3137 3138 3139 3140 3141 3142 3143 3144 3145 3146 3147 3148 3149 3150 3151 3152 3153 3154 3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 3166 3167 3168 3169 3170 3171 3172 3173 3174 3175 3176 | """ touch quant_params_neg.json touch rt_params_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_neg_globalAvoidRT \\ allSamples=$params.ipo_allSamples_neg \\ columnToSelect=$params.ipo_columnToSelect_neg \\ valueToSelect=$params.ipo_valueToSelect_neg \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ncores=$params.ipo_ncores_neg \\ outputxset=quant_params_neg.json \\ outputrt=rt_params_neg.json """ |
3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 3221 3222 3223 3224 3225 3226 3227 3228 3229 3230 3231 3232 3233 3234 3235 3236 3237 3238 3239 3240 3241 3242 3243 3244 3245 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_neg_xcms \\ noise=$params.noise_quant_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ mzdiff=$params.mzdiff_quant_neg_xcms \\ snthresh=$params.snthresh_quant_neg_xcms \\ prefilter_l=$params.prefilter_quant_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_neg_xcms \\ integrate=$params.integrate_quant_neg_xcms \\ fitgauss=$params.fitgauss_quant_neg_xcms \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ ipo_inv=$ipo_neg_localQ \\ $filter_argument """ |
3267 3268 3269 3270 | """ nextFlowDIR=\$PWD xcmsCollect.r input=$inputs_aggregated output=collection_neg.rdata """ |
3294 3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3330 3331 3332 3333 3334 3335 3336 | """ retCor.r \\ input=\$PWD/$rdata_files \\ output=RTcorrected_neg.rdata \\ method=obiwarp \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ipo_inv=$ipo_neg_localRT \\ ncores=$params.ipo_ncores_neg \\ profStep=$params.profStep_align_N1_neg_xcms \\ center=$params.center_align_N1_neg_xcms \\ response=$params.response_align_N1_neg_xcms \\ distFunc=$params.distFunc_align_N1_neg_xcms \\ gapInit=$params.gapInit_align_N1_neg_xcms \\ gapExtend=$params.gapExtend_align_N1_neg_xcms \\ factorDiag=$params.factorDiag_align_N1_neg_xcms \\ factorGap=$params.factorGap_align_N1_neg_xcms \\ localAlignment=$params.localAlignment_align_N1_neg_xcms \\ $filter_argument \\ inputraw=$inputs_aggregated """ |
3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 | """ group.r \\ input=$rdata_files \\ output=groupN1_neg.rdata \\ bandwidth=$params.bandwidth_group_N1_neg_xcms \\ minfrac=$params.minfrac_group_N1_neg_xcms \\ minsamp=$params.minsamp_group_N1_neg_xcms \\ max=$params.max_group_N1_neg_xcms \\ mzwid=$params.mzwid_group_N1_neg_xcms """ |
3386 3387 3388 3389 3390 3391 3392 3393 3394 | """ blankfilter.r \\ input=$rdata_files \\ output=blankFiltered_neg.rdata \\ method=$params.method_blankfilter_neg_xcms \\ blank=$params.blank_blankfilter_neg_xcms \\ sample=$params.sample_blankfilter_neg_xcms \\ rest=$params.rest_blankfilter_neg_xcms """ |
3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 | """ dilutionfilter.r \\ input=$rdata_files \\ output=dilutionFiltered_neg.rdata \\ Corto=$params.corto_dilutionfilter_neg_xcms \\ dilution=$params.dilution_dilutionfilter_neg_xcms \\ pvalue=$params.pvalue_dilutionfilter_neg_xcms \\ corcut=$params.corcut_dilutionfilter_neg_xcms \\ abs=$params.abs_dilutionfilter_neg_xcms """ |
3452 3453 3454 3455 3456 3457 3458 | """ cvfilter.r \\ input=$rdata_files \\ output=cvFiltered_neg.rdata \\ qc=$params.qc_cvfilter_neg_xcms \\ cvcut=$params.cvcut_cvfilter_neg_xcms """ |
3481 3482 3483 | """ xsAnnotate.r input=$rdata_files output=CameraAnnotatePeaks_neg.rdata """ |
3502 3503 3504 3505 3506 3507 3508 3509 | """ groupFWHM.r \\ input=$rdata_files \\ output=CameraGroup_neg.rdata \\ sigma=$params.sigma_group_neg_camera \\ perfwhm=$params.perfwhm_group_neg_camera \\ intval=$params.intval_group_neg_camera """ |
3528 3529 3530 3531 3532 3533 3534 | """ findAdducts.r \\ input=$rdata_files \\ output=CameraFindAdducts_neg.rdata \\ ppm=$params.ppm_findaddcuts_neg_camera \\ polarity=$params.polarity_findaddcuts_neg_camera """ |
3553 3554 3555 3556 3557 3558 | """ findIsotopes.r \\ input=$rdata_files \\ output=CameraFindIsotopes_neg.rdata \\ maxcharge=$params.maxcharge_findisotopes_neg_camera """ |
3584 3585 3586 3587 3588 3589 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}.rdata \\ inputname=${mzMLFile.baseName} """ |
3611 3612 3613 3614 3615 3616 3617 3618 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$input_args \\ output=MapMsms2Camera_neg.rdata \\ ppm=$params.ppm_mapmsmstocamera_neg_msnbase \\ rt=$params.rt_mapmsmstocamera_neg_msnbase """ |
3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 | """ mkdir out MS2ToMetFrag.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=out \\ precursorppm=$params.precursorppm_msmstoparam_neg_msnbase \\ fragmentppm=$params.fragmentppm_msmstoparam_neg_msnbase \\ fragmentabs=$params.fragmentabs_msmstoparam_neg_msnbase \\ database=$params.database_msmstoparam_neg_msnbase \\ mode=$params.mode_msmstoparam_neg_msnbase \\ adductRules=$params.adductRules_msmstoparam_neg_msnbase \\ minPeaks=$params.minPeaks_msmstoparam_neg_msnbase ls out/ -A -1 | cut -d'_' -f4- | tr ' ' '\n' | sort -u | xargs -I % find out/ -type f -iname *% -exec zip %.zip {} + """ |
3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}_class_Csifingerid_neg.csv fingerID.r \\ input=\$PWD/inputs \\ database=$params.database_csifingerid_neg_csifingerid \\ tryOffline=T \\ output=\$PWD/outputs/ \\ ncores=$params.ncore_csifingerid_neg_csifingerid \\ timeout=$params.timeout_csifingerid_neg_csifingerid \\ canopus=T \\ canopusOutput=\$PWD/${parameters.baseName}_class_Csifingerid_neg.csv zip -j -r ${parameters.baseName}_Csifingerid_neg.zip outputs/*.csv """ |
3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r Csifingerid_neg.zip all aggregateMetfrag.r \\ inputs=Csifingerid_neg.zip \\ realNames=Csifingerid_neg.zip \\ output=aggregated_identification_csifingerid_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_csifingerid_neg.csv """ |
3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_csifingerid_neg.csv \\ readTable=T else touch pep_identification_csifingerid_neg.csv fi """ |
3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 | """ if [ -s $csifingerid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$csifingerid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_csifingerid.txt \\ outputVariables=varsNEGout_neg_csifingerid.txt \\ outputMetaData=metadataNEGout_neg_csifingerid.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_csifingerid.txt \\ outputVariables=varsNEGout_neg_csifingerid.txt \\ outputMetaData=metadataNEGout_neg_csifingerid.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_neg_metfrag \\ run_metfrag.sh \\ -p {} \\ -f \$PWD/outputs/{/.}.csv \\ -l "\$PWD/$metfrag_database" \\ -s "OfflineMetFusionScore" zip -j -r ${parameters.baseName}_metfrag_neg.zip outputs/*.csv """ |
3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r metfrag_neg.zip all aggregateMetfrag.r \\ inputs=metfrag_neg.zip \\ realNames=metfrag_neg.zip \\ output=aggregated_identification_metfrag_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_metfrag_neg.csv """ |
3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=FragmenterScore \\ output=pep_identification_metfrag_neg.csv \\ readTable=T else touch pep_identification_metfrag_neg.csv fi """ |
3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 | """ if [ -s $metfrag_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$metfrag_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_metfrag.txt \\ outputVariables=varsNEGout_neg_metfrag.txt \\ outputMetaData=metadataNEGout_neg_metfrag.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_metfrag.txt \\ outputVariables=varsNEGout_neg_metfrag.txt \\ outputMetaData=metadataNEGout_neg_metfrag.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_neg_cfmid \\ cfmid.r \\ input={} \\ realName={/} \\ databaseFile=\$PWD/$cfmid_database \\ output=\$PWD/outputs/{/.}.csv \\ candidate_id=$params.candidate_id_identification_neg_cfmid \\ candidate_inchi_smiles=$params.candidate_inchi_smiles_identification_neg_cfmid \\ candidate_mass=$params.candidate_mass_identification_neg_cfmid \\ databaseNameColumn=$params.database_name_column_identification_neg_cfmid \\ databaseInChIColumn=$params.database_inchI_column_identification_neg_cfmid \\ scoreType=Jaccard zip -j -r ${parameters.baseName}_cfmid_neg.zip outputs/*.csv """ |
4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r cfmid_neg.zip all aggregateMetfrag.r \\ inputs=cfmid_neg.zip \\ realNames=cfmid_neg.zip \\ output=aggregated_identification_cfmid_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_cfmid_neg.csv """ |
4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=Jaccard_Score \\ output=pep_identification_cfmid_neg.csv \\ readTable=T else touch pep_identification_cfmid_neg.csv fi """ |
4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 | """ if [ -s $cfmid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$cfmid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_cfmid.txt \\ outputVariables=varsNEGout_neg_cfmid.txt \\ outputMetaData=metadataNEGout_neg_cfmid.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_cfmid.txt \\ outputVariables=varsNEGout_neg_cfmid.txt \\ outputMetaData=metadataNEGout_neg_cfmid.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
4244 4245 4246 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
4267 4268 4269 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
4288 4289 4290 4291 4292 4293 4294 4295 4296 4297 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 | """ touch quant_params_library_neg.json touch rt_params_library_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ response_l=$params.ipo_response_l_library_neg \\ response_h=$params.ipo_response_h_library_neg \\ distFunc=$params.ipo_distFunc_library_neg \\ factorDiag_l=$params.ipo_factorDiag_l_library_neg \\ factorDiag_h=$params.ipo_factorDiag_h_library_neg \\ factorGap_l=$params.ipo_factorGap_l_library_neg \\ factorGap_h=$params.ipo_factorGap_h_library_neg \\ localAlignment=$params.ipo_localAlignment_library_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_neg \\ ipo_profStep_l=$params.ipo_profStep_l_library_neg \\ ipo_profStep_h=$params.ipo_profStep_h_library_neg \\ bw_l=$params.ipo_bw_l_library_neg \\ bw_h=$params.ipo_bw_h_library_neg \\ minfrac_l=$params.ipo_minfrac_l_library_neg \\ minfrac_h=$params.ipo_minfrac_h_library_neg \\ mzwid_l=$params.ipo_mzwid_l_library_neg \\ mzwid_h=$params.ipo_mzwid_h_library_neg \\ minsamp_l=$params.ipo_minsamp_l_library_neg \\ minsamp_h=$params.ipo_minsamp_h_library_neg \\ max_l=$params.ipo_max_l_library_neg \\ max_h=$params.ipo_max_h_library_neg \\ ncores=$params.ipo_ncores_library_neg \\ outputxset=quant_params_library_neg.json \\ outputrt=rt_params_library_neg.json """ |
4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_neg_xcms \\ noise=$params.noise_quant_library_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_neg_xcms \\ mzdiff=$params.mzdiff_quant_library_neg_xcms \\ snthresh=$params.snthresh_quant_library_neg_xcms \\ prefilter_l=$params.prefilter_quant_library_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_neg_xcms \\ integrate=$params.integrate_quant_library_neg_xcms \\ fitgauss=$params.fitgauss_quant_library_neg_xcms \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ ipo_inv=$ipo_library_neg_localQ \\ $filter_argument """ |
4467 4468 4469 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 | """ touch quant_params_library_neg.json touch rt_params_library_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ response_l=$params.ipo_response_l_library_neg \\ response_h=$params.ipo_response_h_library_neg \\ distFunc=$params.ipo_distFunc_library_neg \\ factorDiag_l=$params.ipo_factorDiag_l_library_neg \\ factorDiag_h=$params.ipo_factorDiag_h_library_neg \\ factorGap_l=$params.ipo_factorGap_l_library_neg \\ factorGap_h=$params.ipo_factorGap_h_library_neg \\ localAlignment=$params.ipo_localAlignment_library_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_neg \\ ipo_profStep_l=$params.ipo_profStep_l_library_neg \\ ipo_profStep_h=$params.ipo_profStep_h_library_neg \\ bw_l=$params.ipo_bw_l_library_neg \\ bw_h=$params.ipo_bw_h_library_neg \\ minfrac_l=$params.ipo_minfrac_l_library_neg \\ minfrac_h=$params.ipo_minfrac_h_library_neg \\ mzwid_l=$params.ipo_mzwid_l_library_neg \\ mzwid_h=$params.ipo_mzwid_h_library_neg \\ minsamp_l=$params.ipo_minsamp_l_library_neg \\ minsamp_h=$params.ipo_minsamp_h_library_neg \\ max_l=$params.ipo_max_l_library_neg \\ max_h=$params.ipo_max_h_library_neg \\ ncores=$params.ipo_ncores_library_neg \\ outputxset=quant_params_library_neg.json \\ outputrt=rt_params_library_neg.json """ |
4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_neg_xcms \\ noise=$params.noise_quant_library_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_neg_xcms \\ mzdiff=$params.mzdiff_quant_library_neg_xcms \\ snthresh=$params.snthresh_quant_library_neg_xcms \\ prefilter_l=$params.prefilter_quant_library_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_neg_xcms \\ integrate=$params.integrate_quant_library_neg_xcms \\ fitgauss=$params.fitgauss_quant_library_neg_xcms \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ ipo_inv=$ipo_library_neg_localQ \\ $filter_argument """ |
4664 4665 4666 | """ xsAnnotate.r input=$rdata_files output=${rdata_files.baseName}.rdata """ |
4685 4686 4687 4688 4689 4690 4691 4692 | """ groupFWHM.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ sigma=$params.sigma_group_library_neg_camera \\ perfwhm=$params.perfwhm_group_library_neg_camera \\ intval=$params.intval_group_library_neg_camera """ |
4711 4712 4713 4714 4715 4716 4717 | """ findAdducts.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ ppm=$params.ppm_findaddcuts_library_neg_camera \\ polarity=$params.polarity_findaddcuts_library_neg_camera """ |
4737 4738 4739 4740 4741 4742 | """ findIsotopes.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ maxcharge=$params.maxcharge_findisotopes_library_neg_camera """ |
4761 4762 4763 4764 4765 4766 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}_ReadMsmsLibrary.rdata \\ inputname=${mzMLFile.baseName} """ |
4790 4791 4792 4793 4794 4795 4796 4797 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=${rdata_files_ms1.baseName}_MapMsms2Camera_library_neg.rdata \\ ppm=$params.ppm_mapmsmstocamera_library_neg_msnbase \\ rt=$params.rt_mapmsmstocamera_library_neg_msnbase """ |
4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 | """ mkdir out createLibrary.r \\ inputCAMERA=$rdata_camera \\ precursorppm=$params.ppm_create_library_neg_msnbase \\ inputMS2=$ms2_data \\ output=${rdata_camera.baseName}.csv \\ inputLibrary=$library_desc \\ rawFileName=$params.raw_file_name_preparelibrary_neg_msnbase \\ compundID=$params.compund_id_preparelibrary_neg_msnbase \\ compoundName=$params.compound_name_preparelibrary_neg_msnbase \\ mzCol=$params.mz_col_preparelibrary_neg_msnbase \\ whichmz=$params.which_mz_preparelibrary_neg_msnbase """ |
4855 4856 4857 4858 4859 4860 | """ collectLibrary.r \\ inputs=$aggregatecdlibrary \\ realNames=$aggregatecdlibrary \\ output=library_neg.csv """ |
4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 | """ #!env Rscript Files<-list.files(,pattern = "zip",full.names=T) Files_org<-list.files(,pattern = "zip") for(f in Files){ zip::unzip(zipfile = f,junkpaths = T) } Files<-list.files(,pattern = "txt",full.names=T) FilesTMP<-sapply(strsplit(split = "_",fixed = T,x = basename(Files)),function(x){paste(x[-1],collapse = "_")}) FileDub<-Files[duplicated(FilesTMP)] for(x in FileDub){ file.remove(x) } files_to_pass<-list.files(pattern="txt") files_to_pass<-files_to_pass[!files_to_pass%in%Files_org] zip::zip(zipfile="mappedtometfrag_neg.zip",files=files_to_pass) """ |
4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_neg.csv \\ -th "-1" \\ -im neg \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_neg_msnbase sed -i '/^\$/d' aggregated_identification_library_neg.csv """ |
4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_neg.csv \\ -th "-1" \\ -im neg \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_neg_msnbase sed -i '/^\$/d' aggregated_identification_library_neg.csv """ |
4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_library_neg.csv \\ readTable=T else touch pep_identification_library_neg.csv fi """ |
5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 | """ if [ -s $library_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$library_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_library.txt \\ outputVariables=varsNEGout_neg_library.txt \\ outputMetaData=metadataNEGout_neg_library.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_library.txt \\ outputVariables=varsNEGout_neg_library.txt \\ outputMetaData=metadataNEGout_neg_library.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 | """ prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_NEG_noid.txt \\ outputVariables=varsNEGout_neg_noid.txt \\ outputMetaData=metadataNEGout_neg_noid.txt \\ Ifnormalize=$params.normalize_output_neg_camera """ |
423 424 425 426 427 428 429 430 431 432 433 434 435 | """ echo $workflow.manifest.version > v_pipeline.txt echo $workflow.nextflow.version > v_nextflow.txt Rscript -e "cat(as.character(packageVersion('CAMERA')),'\\n')" &> v_camera.txt Rscript -e "cat(as.character(packageVersion('xcms')),'\\n')" &> v_xcms.txt Rscript -e "cat(as.character(packageVersion('MSnbase')),'\\n')" &> v_msnbase.txt Rscript -e "cat(as.character(packageVersion('IPO')),'\\n')" &> v_ipo.txt OpenMSInfo | grep -oP -m 1 '([0-9][.][0-9][.][0-9])' &> v_openms.txt sh /usr/bin/CSI/bin/sirius.sh --loglevel=OFF --version 2>1 | grep -oP -m 1 '([0-9][.][0-9][.][0-9])' &> v_sirius.txt scrape_software_versions.py &> software_versions_mqc.yaml """ |
463 464 465 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
492 493 494 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
516 517 518 519 520 521 522 523 524 525 526 527 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 | """ touch quant_params_pos.json touch rt_params_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_pos_globalAvoidRT \\ allSamples=$params.ipo_allSamples_pos \\ columnToSelect=$params.ipo_columnToSelect_pos \\ valueToSelect=$params.ipo_valueToSelect_pos \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ncores=$params.ipo_ncores_pos \\ outputxset=quant_params_pos.json \\ outputrt=rt_params_pos.json """ |
639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_pos_xcms \\ noise=$params.noise_quant_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ mzdiff=$params.mzdiff_quant_pos_xcms \\ snthresh=$params.snthresh_quant_pos_xcms \\ prefilter_l=$params.prefilter_quant_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_pos_xcms \\ integrate=$params.integrate_quant_pos_xcms \\ fitgauss=$params.fitgauss_quant_pos_xcms \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ ipo_inv=$ipo_pos_localQ \\ $filter_argument """ |
710 711 712 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
733 734 735 736 737 738 739 740 741 742 743 744 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 | """ touch quant_params_pos.json touch rt_params_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_pos_globalAvoidRT \\ allSamples=$params.ipo_allSamples_pos \\ columnToSelect=$params.ipo_columnToSelect_pos \\ valueToSelect=$params.ipo_valueToSelect_pos \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ncores=$params.ipo_ncores_pos \\ outputxset=quant_params_pos.json \\ outputrt=rt_params_pos.json """ |
854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_pos_xcms \\ noise=$params.noise_quant_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_pos \\ sampleClass=$params.sampleclass_quant_pos_xcms \\ mzdiff=$params.mzdiff_quant_pos_xcms \\ snthresh=$params.snthresh_quant_pos_xcms \\ prefilter_l=$params.prefilter_quant_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_pos_xcms \\ integrate=$params.integrate_quant_pos_xcms \\ fitgauss=$params.fitgauss_quant_pos_xcms \\ methodXset=$params.ipo_methodXset_pos \\ methodRT=$params.ipo_methodRT_pos \\ noise_l=$params.ipo_noise_l_pos \\ noise_h=$params.ipo_noise_h_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_pos \\ snthresh_l=$params.ipo_snthresh_l_pos \\ snthresh_h=$params.ipo_snthresh_h_pos \\ mzCenterFun=$params.ipo_mzCenterFun_pos \\ integrate=$params.ipo_integrate_pos \\ fitgauss=$params.ipo_fitgauss_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_pos \\ ipo_ppm_l=$params.ipo_ppm_l_pos \\ ipo_ppm_h=$params.ipo_ppm_h_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_pos \\ ipo_charge_camera=$params.ipo_charge_camera_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_pos \\ ipo_inv=$ipo_pos_localQ \\ $filter_argument """ |
921 922 923 924 | """ nextFlowDIR=\$PWD xcmsCollect.r input=$inputs_aggregated output=collection_pos.rdata """ |
948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 | """ retCor.r \\ input=\$PWD/$rdata_files \\ output=RTcorrected_pos.rdata \\ method=obiwarp \\ response_l=$params.ipo_response_l_pos \\ response_h=$params.ipo_response_h_pos \\ distFunc=$params.ipo_distFunc_pos \\ factorDiag_l=$params.ipo_factorDiag_l_pos \\ factorDiag_h=$params.ipo_factorDiag_h_pos \\ factorGap_l=$params.ipo_factorGap_l_pos \\ factorGap_h=$params.ipo_factorGap_h_pos \\ localAlignment=$params.ipo_localAlignment_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_pos \\ ipo_profStep_l=$params.ipo_profStep_l_pos \\ ipo_profStep_h=$params.ipo_profStep_h_pos \\ bw_l=$params.ipo_bw_l_pos \\ bw_h=$params.ipo_bw_h_pos \\ minfrac_l=$params.ipo_minfrac_l_pos \\ minfrac_h=$params.ipo_minfrac_h_pos \\ mzwid_l=$params.ipo_mzwid_l_pos \\ mzwid_h=$params.ipo_mzwid_h_pos \\ minsamp_l=$params.ipo_minsamp_l_pos \\ minsamp_h=$params.ipo_minsamp_h_pos \\ max_l=$params.ipo_max_l_pos \\ max_h=$params.ipo_max_h_pos \\ ipo_inv=$ipo_pos_localRT \\ ncores=$params.ipo_ncores_pos \\ profStep=$params.profStep_align_N1_pos_xcms \\ center=$params.center_align_N1_pos_xcms \\ response=$params.response_align_N1_pos_xcms \\ distFunc=$params.distFunc_align_N1_pos_xcms \\ gapInit=$params.gapInit_align_N1_pos_xcms \\ gapExtend=$params.gapExtend_align_N1_pos_xcms \\ factorDiag=$params.factorDiag_align_N1_pos_xcms \\ factorGap=$params.factorGap_align_N1_pos_xcms \\ localAlignment=$params.localAlignment_align_N1_pos_xcms \\ $filter_argument \\ inputraw=$inputs_aggregated """ |
1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 | """ group.r \\ input=$rdata_files \\ output=groupN1_pos.rdata \\ bandwidth=$params.bandwidth_group_N1_pos_xcms \\ minfrac=$params.minfrac_group_N1_pos_xcms \\ minsamp=$params.minsamp_group_N1_pos_xcms \\ max=$params.max_group_N1_pos_xcms \\ mzwid=$params.mzwid_group_N1_pos_xcms """ |
1042 1043 1044 1045 1046 1047 1048 1049 1050 | """ blankfilter.r \\ input=$rdata_files \\ output=blankFiltered_pos.rdata \\ method=$params.method_blankfilter_pos_xcms \\ blank=$params.blank_blankfilter_pos_xcms \\ sample=$params.sample_blankfilter_pos_xcms \\ rest=$params.rest_blankfilter_pos_xcms """ |
1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 | """ dilutionfilter.r \\ input=$rdata_files \\ output=dilutionFiltered_pos.rdata \\ Corto=$params.corto_dilutionfilter_pos_xcms \\ dilution=$params.dilution_dilutionfilter_pos_xcms \\ pvalue=$params.pvalue_dilutionfilter_pos_xcms \\ corcut=$params.corcut_dilutionfilter_pos_xcms \\ abs=$params.abs_dilutionfilter_pos_xcms """ |
1108 1109 1110 1111 1112 1113 1114 | """ cvfilter.r \\ input=$rdata_files \\ output=cvFiltered_pos.rdata \\ qc=$params.qc_cvfilter_pos_xcms \\ cvcut=$params.cvcut_cvfilter_pos_xcms """ |
1137 1138 1139 | """ xsAnnotate.r input=$rdata_files output=CameraAnnotatePeaks_pos.rdata """ |
1158 1159 1160 1161 1162 1163 1164 1165 | """ groupFWHM.r \\ input=$rdata_files \\ output=CameraGroup_pos.rdata \\ sigma=$params.sigma_group_pos_camera \\ perfwhm=$params.perfwhm_group_pos_camera \\ intval=$params.intval_group_pos_camera """ |
1185 1186 1187 1188 1189 1190 1191 | """ findAdducts.r \\ input=$rdata_files \\ output=CameraFindAdducts_pos.rdata \\ ppm=$params.ppm_findaddcuts_pos_camera \\ polarity=$params.polarity_findaddcuts_pos_camera """ |
1210 1211 1212 1213 1214 1215 | """ findIsotopes.r \\ input=$rdata_files \\ output=CameraFindIsotopes_pos.rdata \\ maxcharge=$params.maxcharge_findisotopes_pos_camera """ |
1241 1242 1243 1244 1245 1246 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}.rdata \\ inputname=${mzMLFile.baseName} """ |
1268 1269 1270 1271 1272 1273 1274 1275 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$input_args \\ output=MapMsms2Camera_pos.rdata \\ ppm=$params.ppm_mapmsmstocamera_pos_msnbase \\ rt=$params.rt_mapmsmstocamera_pos_msnbase """ |
1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 | """ mkdir out MS2ToMetFrag.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=out \\ precursorppm=$params.precursorppm_msmstoparam_pos_msnbase \\ fragmentppm=$params.fragmentppm_msmstoparam_pos_msnbase \\ fragmentabs=$params.fragmentabs_msmstoparam_pos_msnbase \\ database=$params.database_msmstoparam_pos_msnbase \\ mode=$params.mode_msmstoparam_pos_msnbase \\ adductRules=$params.adductRules_msmstoparam_pos_msnbase \\ minPeaks=$params.minPeaks_msmstoparam_pos_msnbase ls out/ -A -1 | cut -d'_' -f4- | tr ' ' '\n' | sort -u | xargs -I % find out/ -type f -iname *% -exec zip %.zip {} + """ |
1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}_class_Csifingerid_pos.csv fingerID.r \\ input=\$PWD/inputs \\ database=$params.database_csifingerid_pos_csifingerid \\ tryOffline=T \\ output=\$PWD/outputs/ \\ ncores=$params.ncore_csifingerid_pos_csifingerid \\ timeout=$params.timeout_csifingerid_pos_csifingerid \\ canopus=T \\ canopusOutput=\$PWD/${parameters.baseName}_class_Csifingerid_pos.csv zip -j -r ${parameters.baseName}_Csifingerid_pos.zip outputs/*.csv """ |
1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r Csifingerid_pos.zip all aggregateMetfrag.r \\ inputs=Csifingerid_pos.zip \\ realNames=Csifingerid_pos.zip \\ output=aggregated_identification_csifingerid_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_csifingerid_pos.csv """ |
1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_csifingerid_pos.csv \\ readTable=T else touch pep_identification_csifingerid_pos.csv fi """ |
1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 | """ if [ -s $csifingerid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$csifingerid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_csifingerid.txt \\ outputVariables=varsPOSout_pos_csifingerid.txt \\ outputMetaData=metadataPOSout_pos_csifingerid.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_csifingerid.txt \\ outputVariables=varsPOSout_pos_csifingerid.txt \\ outputMetaData=metadataPOSout_pos_csifingerid.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_pos_metfrag \\ run_metfrag.sh \\ -p {} \\ -f \$PWD/outputs/{/.}.csv \\ -l "\$PWD/$metfrag_database" \\ -s "OfflineMetFusionScore" zip -j -r ${parameters.baseName}_metfrag_pos.zip outputs/*.csv """ |
1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r metfrag_pos.zip all aggregateMetfrag.r \\ inputs=metfrag_pos.zip \\ realNames=metfrag_pos.zip \\ output=aggregated_identification_metfrag_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_metfrag_pos.csv """ |
1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 | """ if [ -s $identification_result ];then metfragPEP.r \\ input=$identification_result \\ score=FragmenterScore \\ output=pep_identification_metfrag_pos.csv \\ readTable=T else touch pep_identification_metfrag_pos.csv fi """ |
1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 1683 1684 | """ if [ -s $metfrag_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$metfrag_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_metfrag.txt \\ outputVariables=varsPOSout_pos_metfrag.txt \\ outputMetaData=metadataPOSout_pos_metfrag.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_metfrag.txt \\ outputVariables=varsPOSout_pos_metfrag.txt \\ outputMetaData=metadataPOSout_pos_metfrag.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1718 1719 1720 1721 1722 1723 1724 1725 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_pos_cfmid cfmid.r \\ input={} \\ realName={/} \\ databaseFile=\$PWD/$cfmid_database \\ output=\$PWD/outputs/{/.}.csv \\ candidate_id=$params.candidate_id_identification_pos_cfmid \\ candidate_inchi_smiles=$params.candidate_inchi_smiles_identification_pos_cfmid \\ candidate_mass=$params.candidate_mass_identification_pos_cfmid \\ databaseNameColumn=$params.database_name_column_identification_pos_cfmid \\ databaseInChIColumn=$params.database_inchI_column_identification_pos_cfmid \\ scoreType=Jaccard zip -j -r ${parameters.baseName}_cfmid_pos.zip outputs/*.csv """ |
1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r cfmid_pos.zip all aggregateMetfrag.r \\ inputs=cfmid_pos.zip \\ realNames=cfmid_pos.zip \\ output=aggregated_identification_cfmid_pos.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_cfmid_pos.csv """ |
1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=Jaccard_Score \\ output=pep_identification_cfmid_pos.csv \\ readTable=T else touch pep_identification_cfmid_pos.csv fi """ |
1821 1822 1823 1824 1825 1826 1827 1828 1829 1830 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 | """ if [ -s $cfmid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$cfmid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_cfmid.txt \\ outputVariables=varsPOSout_pos_cfmid.txt \\ outputMetaData=metadataPOSout_pos_cfmid.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_cfmid.txt \\ outputVariables=varsPOSout_pos_cfmid.txt \\ outputMetaData=metadataPOSout_pos_cfmid.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
1907 1908 1909 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
1930 1931 1932 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 | """ touch quant_params_library_pos.json touch rt_params_library_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ response_l=$params.ipo_response_l_library_pos \\ response_h=$params.ipo_response_h_library_pos \\ distFunc=$params.ipo_distFunc_library_pos \\ factorDiag_l=$params.ipo_factorDiag_l_library_pos \\ factorDiag_h=$params.ipo_factorDiag_h_library_pos \\ factorGap_l=$params.ipo_factorGap_l_library_pos \\ factorGap_h=$params.ipo_factorGap_h_library_pos \\ localAlignment=$params.ipo_localAlignment_library_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_pos \\ ipo_profStep_l=$params.ipo_profStep_l_library_pos \\ ipo_profStep_h=$params.ipo_profStep_h_library_pos \\ bw_l=$params.ipo_bw_l_library_pos \\ bw_h=$params.ipo_bw_h_library_pos \\ minfrac_l=$params.ipo_minfrac_l_library_pos \\ minfrac_h=$params.ipo_minfrac_h_library_pos \\ mzwid_l=$params.ipo_mzwid_l_library_pos \\ mzwid_h=$params.ipo_mzwid_h_library_pos \\ minsamp_l=$params.ipo_minsamp_l_library_pos \\ minsamp_h=$params.ipo_minsamp_h_library_pos \\ max_l=$params.ipo_max_l_library_pos \\ max_h=$params.ipo_max_h_library_pos \\ ncores=$params.ipo_ncores_library_pos \\ outputxset=quant_params_library_pos.json \\ outputrt=rt_params_library_pos.json """ |
2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_pos_xcms \\ noise=$params.noise_quant_library_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_pos_xcms \\ mzdiff=$params.mzdiff_quant_library_pos_xcms \\ snthresh=$params.snthresh_quant_library_pos_xcms \\ prefilter_l=$params.prefilter_quant_library_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_pos_xcms \\ integrate=$params.integrate_quant_library_pos_xcms \\ fitgauss=$params.fitgauss_quant_library_pos_xcms \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ ipo_inv=$ipo_library_pos_localQ \\ $filter_argument """ |
2131 2132 2133 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=positive \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
2187 2188 2189 2190 2191 2192 2193 2194 2195 2196 2197 2198 2199 2200 2201 2202 2203 2204 2205 2206 2207 2208 2209 2210 2211 2212 2213 2214 2215 2216 2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 2229 2230 2231 2232 2233 2234 2235 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 | """ touch quant_params_library_pos.json touch rt_params_library_pos.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ response_l=$params.ipo_response_l_library_pos \\ response_h=$params.ipo_response_h_library_pos \\ distFunc=$params.ipo_distFunc_library_pos \\ factorDiag_l=$params.ipo_factorDiag_l_library_pos \\ factorDiag_h=$params.ipo_factorDiag_h_library_pos \\ factorGap_l=$params.ipo_factorGap_l_library_pos \\ factorGap_h=$params.ipo_factorGap_h_library_pos \\ localAlignment=$params.ipo_localAlignment_library_pos \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_pos \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_pos \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_pos \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_pos \\ ipo_profStep_l=$params.ipo_profStep_l_library_pos \\ ipo_profStep_h=$params.ipo_profStep_h_library_pos \\ bw_l=$params.ipo_bw_l_library_pos \\ bw_h=$params.ipo_bw_h_library_pos \\ minfrac_l=$params.ipo_minfrac_l_library_pos \\ minfrac_h=$params.ipo_minfrac_h_library_pos \\ mzwid_l=$params.ipo_mzwid_l_library_pos \\ mzwid_h=$params.ipo_mzwid_h_library_pos \\ minsamp_l=$params.ipo_minsamp_l_library_pos \\ minsamp_h=$params.ipo_minsamp_h_library_pos \\ max_l=$params.ipo_max_l_library_pos \\ max_h=$params.ipo_max_h_library_pos \\ ncores=$params.ipo_ncores_library_pos \\ outputxset=quant_params_library_pos.json \\ outputrt=rt_params_library_pos.json """ |
2266 2267 2268 2269 2270 2271 2272 2273 2274 2275 2276 2277 2278 2279 2280 2281 2282 2283 2284 2285 2286 2287 2288 2289 2290 2291 2292 2293 2294 2295 2296 2297 2298 2299 2300 2301 2302 2303 2304 2305 2306 2307 2308 2309 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_pos_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_pos_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_pos_xcms \\ noise=$params.noise_quant_library_pos_xcms \\ polarity=positive \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_pos_xcms \\ mzdiff=$params.mzdiff_quant_library_pos_xcms \\ snthresh=$params.snthresh_quant_library_pos_xcms \\ prefilter_l=$params.prefilter_quant_library_pos_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_pos_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_pos_xcms \\ integrate=$params.integrate_quant_library_pos_xcms \\ fitgauss=$params.fitgauss_quant_library_pos_xcms \\ methodXset=$params.ipo_methodXset_library_pos \\ methodRT=$params.ipo_methodRT_library_pos \\ noise_l=$params.ipo_noise_l_library_pos \\ noise_h=$params.ipo_noise_h_library_pos \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_pos \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_pos \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_pos \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_pos \\ snthresh_l=$params.ipo_snthresh_l_library_pos \\ snthresh_h=$params.ipo_snthresh_h_library_pos \\ mzCenterFun=$params.ipo_mzCenterFun_library_pos \\ integrate=$params.ipo_integrate_library_pos \\ fitgauss=$params.ipo_fitgauss_library_pos \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_pos \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_pos \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_pos \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_pos \\ ipo_ppm_l=$params.ipo_ppm_l_library_pos \\ ipo_ppm_h=$params.ipo_ppm_h_library_pos \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_pos \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_pos \\ ipo_charge_camera=$params.ipo_charge_camera_library_pos \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_pos \\ ipo_inv=$ipo_library_pos_localQ \\ $filter_argument """ |
2332 2333 2334 | """ xsAnnotate.r input=$rdata_files output=${rdata_files.baseName}.rdata """ |
2353 2354 2355 2356 2357 2358 2359 2360 | """ groupFWHM.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ sigma=$params.sigma_group_library_pos_camera \\ perfwhm=$params.perfwhm_group_library_pos_camera \\ intval=$params.intval_group_library_pos_camera """ |
2380 2381 2382 2383 2384 2385 2386 | """ findAdducts.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ ppm=$params.ppm_findaddcuts_library_pos_camera \\ polarity=$params.polarity_findaddcuts_library_pos_camera """ |
2406 2407 2408 2409 2410 2411 | """ findIsotopes.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ maxcharge=$params.maxcharge_findisotopes_library_pos_camera """ |
2432 2433 2434 2435 2436 2437 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}_ReadMsmsLibrary.rdata \\ inputname=${mzMLFile.baseName} """ |
2462 2463 2464 2465 2466 2467 2468 2469 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=${rdata_files_ms1.baseName}_MapMsms2Camera_library_pos.rdata \\ ppm=$params.ppm_mapmsmstocamera_library_pos_msnbase \\ rt=$params.rt_mapmsmstocamera_library_pos_msnbase """ |
2494 2495 2496 2497 2498 2499 2500 2501 2502 2503 2504 2505 2506 2507 2508 | """ mkdir out createLibrary.r \\ inputCAMERA=$rdata_camera \\ precursorppm=$params.ppm_create_library_pos_msnbase \\ inputMS2=$ms2_data \\ output=${rdata_camera.baseName}.csv \\ inputLibrary=$library_desc \\ rawFileName=$params.raw_file_name_preparelibrary_pos_msnbase \\ compundID=$params.compund_id_preparelibrary_pos_msnbase \\ compoundName=$params.compound_name_preparelibrary_pos_msnbase \\ mzCol=$params.mz_col_preparelibrary_pos_msnbase \\ whichmz=$params.which_mz_preparelibrary_pos_msnbase """ |
2530 2531 2532 2533 2534 2535 | """ collectLibrary.r \\ inputs=$aggregatecdlibrary \\ realNames=$aggregatecdlibrary \\ output=library_pos.csv """ |
2555 2556 2557 2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 2569 2570 2571 | """ #!env Rscript Files<-list.files(,pattern = "zip",full.names=T) Files_org<-list.files(,pattern = "zip") for(f in Files){ zip::unzip(zipfile = f,junkpaths = T) } Files<-list.files(,pattern = "txt",full.names=T) FilesTMP<-sapply(strsplit(split = "_",fixed = T,x = basename(Files)),function(x){paste(x[-1],collapse = "_")}) FileDub<-Files[duplicated(FilesTMP)] for(x in FileDub){ file.remove(x) } files_to_pass<-list.files(pattern="txt") files_to_pass<-files_to_pass[!files_to_pass%in%Files_org] zip::zip(zipfile="mappedtometfrag_pos.zip",files=files_to_pass) """ |
2593 2594 2595 2596 2597 2598 2599 2600 2601 2602 2603 2604 2605 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_pos.csv \\ -th "-1" \\ -im pos \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_pos_msnbase sed -i '/^\$/d' aggregated_identification_library_pos.csv """ |
2627 2628 2629 2630 2631 2632 2633 2634 2635 2636 2637 2638 2639 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_pos.csv \\ -th "-1" \\ -im pos \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_pos_msnbase sed -i '/^\$/d' aggregated_identification_library_pos.csv """ |
2659 2660 2661 2662 2663 2664 2665 2666 2667 2668 2669 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_library_pos.csv \\ readTable=T else touch pep_identification_library_pos.csv fi """ |
2692 2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 2704 2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 2715 2716 2717 2718 2719 2720 2721 2722 2723 2724 2725 2726 2727 2728 2729 2730 2731 2732 2733 2734 2735 2736 2737 2738 2739 2740 2741 2742 2743 | """ if [ -s $library_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$library_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_library.txt \\ outputVariables=varsPOSout_pos_library.txt \\ outputMetaData=metadataPOSout_pos_library.txt \\ Ifnormalize=$params.normalize_output_pos_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_pos_library.txt \\ outputVariables=varsPOSout_pos_library.txt \\ outputMetaData=metadataPOSout_pos_library.txt \\ Ifnormalize=$params.normalize_output_pos_camera fi """ |
2764 2765 2766 2767 2768 2769 2770 2771 2772 2773 2774 2775 2776 2777 2778 2779 2780 2781 2782 2783 2784 2785 2786 | """ prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_pos_camera \\ rt=$params.rt_output_pos_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_pos_camera \\ typeColumn=$params.type_column_output_pos_camera \\ selectedType=$params.selected_type_output_pos_camera \\ rename=$params.rename_output_pos_camera \\ renameCol=$params.rename_col_output_pos_camera \\ onlyReportWithID=$params.only_report_with_id_output_pos_camera \\ combineReplicate=$params.combine_replicate_output_pos_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_pos_camera \\ log=$params.log_output_pos_camera \\ sampleCoverage=$params.sample_coverage_output_pos_camera \\ outputPeakTable=peaktablePOSout_POS_noid.txt \\ outputVariables=varsPOSout_pos_noid.txt \\ outputMetaData=metadataPOSout_pos_noid.txt \\ Ifnormalize=$params.normalize_output_pos_camera """ |
2816 2817 2818 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
2844 2845 2846 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 | """ touch quant_params_neg.json touch rt_params_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_neg_globalAvoidRT \\ allSamples=$params.ipo_allSamples_neg \\ columnToSelect=$params.ipo_columnToSelect_neg \\ valueToSelect=$params.ipo_valueToSelect_neg \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ncores=$params.ipo_ncores_neg \\ outputxset=quant_params_neg.json \\ outputrt=rt_params_neg.json """ |
2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 3025 3026 3027 3028 3029 3030 3031 3032 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_neg_xcms \\ noise=$params.noise_quant_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ mzdiff=$params.mzdiff_quant_neg_xcms \\ snthresh=$params.snthresh_quant_neg_xcms \\ prefilter_l=$params.prefilter_quant_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_neg_xcms \\ integrate=$params.integrate_quant_neg_xcms \\ fitgauss=$params.fitgauss_quant_neg_xcms \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ ipo_inv=$ipo_neg_localQ \\ $filter_argument """ |
3057 3058 3059 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
3079 3080 3081 3082 3083 3084 3085 3086 3087 3088 3089 3090 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
3115 3116 3117 3118 3119 3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 3131 3132 3133 3134 3135 3136 3137 3138 3139 3140 3141 3142 3143 3144 3145 3146 3147 3148 3149 3150 3151 3152 3153 3154 3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 3166 3167 3168 3169 3170 3171 3172 3173 3174 3175 3176 | """ touch quant_params_neg.json touch rt_params_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=$ipo_neg_globalAvoidRT \\ allSamples=$params.ipo_allSamples_neg \\ columnToSelect=$params.ipo_columnToSelect_neg \\ valueToSelect=$params.ipo_valueToSelect_neg \\ phenoFile=$phenotype_file \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ncores=$params.ipo_ncores_neg \\ outputxset=quant_params_neg.json \\ outputrt=rt_params_neg.json """ |
3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 3221 3222 3223 3224 3225 3226 3227 3228 3229 3230 3231 3232 3233 3234 3235 3236 3237 3238 3239 3240 3241 3242 3243 3244 3245 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_neg_xcms \\ noise=$params.noise_quant_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ phenoFile=$phenotype_file \\ phenoDataColumn=$params.phenodatacolumn_quant_neg \\ sampleClass=$params.sampleclass_quant_neg_xcms \\ mzdiff=$params.mzdiff_quant_neg_xcms \\ snthresh=$params.snthresh_quant_neg_xcms \\ prefilter_l=$params.prefilter_quant_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_neg_xcms \\ integrate=$params.integrate_quant_neg_xcms \\ fitgauss=$params.fitgauss_quant_neg_xcms \\ methodXset=$params.ipo_methodXset_neg \\ methodRT=$params.ipo_methodRT_neg \\ noise_l=$params.ipo_noise_l_neg \\ noise_h=$params.ipo_noise_h_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_neg \\ snthresh_l=$params.ipo_snthresh_l_neg \\ snthresh_h=$params.ipo_snthresh_h_neg \\ mzCenterFun=$params.ipo_mzCenterFun_neg \\ integrate=$params.ipo_integrate_neg \\ fitgauss=$params.ipo_fitgauss_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_neg \\ ipo_ppm_l=$params.ipo_ppm_l_neg \\ ipo_ppm_h=$params.ipo_ppm_h_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_neg \\ ipo_charge_camera=$params.ipo_charge_camera_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_neg \\ ipo_inv=$ipo_neg_localQ \\ $filter_argument """ |
3267 3268 3269 3270 | """ nextFlowDIR=\$PWD xcmsCollect.r input=$inputs_aggregated output=collection_neg.rdata """ |
3294 3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3330 3331 3332 3333 3334 3335 3336 | """ retCor.r \\ input=\$PWD/$rdata_files \\ output=RTcorrected_neg.rdata \\ method=obiwarp \\ response_l=$params.ipo_response_l_neg \\ response_h=$params.ipo_response_h_neg \\ distFunc=$params.ipo_distFunc_neg \\ factorDiag_l=$params.ipo_factorDiag_l_neg \\ factorDiag_h=$params.ipo_factorDiag_h_neg \\ factorGap_l=$params.ipo_factorGap_l_neg \\ factorGap_h=$params.ipo_factorGap_h_neg \\ localAlignment=$params.ipo_localAlignment_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_neg \\ ipo_profStep_l=$params.ipo_profStep_l_neg \\ ipo_profStep_h=$params.ipo_profStep_h_neg \\ bw_l=$params.ipo_bw_l_neg \\ bw_h=$params.ipo_bw_h_neg \\ minfrac_l=$params.ipo_minfrac_l_neg \\ minfrac_h=$params.ipo_minfrac_h_neg \\ mzwid_l=$params.ipo_mzwid_l_neg \\ mzwid_h=$params.ipo_mzwid_h_neg \\ minsamp_l=$params.ipo_minsamp_l_neg \\ minsamp_h=$params.ipo_minsamp_h_neg \\ max_l=$params.ipo_max_l_neg \\ max_h=$params.ipo_max_h_neg \\ ipo_inv=$ipo_neg_localRT \\ ncores=$params.ipo_ncores_neg \\ profStep=$params.profStep_align_N1_neg_xcms \\ center=$params.center_align_N1_neg_xcms \\ response=$params.response_align_N1_neg_xcms \\ distFunc=$params.distFunc_align_N1_neg_xcms \\ gapInit=$params.gapInit_align_N1_neg_xcms \\ gapExtend=$params.gapExtend_align_N1_neg_xcms \\ factorDiag=$params.factorDiag_align_N1_neg_xcms \\ factorGap=$params.factorGap_align_N1_neg_xcms \\ localAlignment=$params.localAlignment_align_N1_neg_xcms \\ $filter_argument \\ inputraw=$inputs_aggregated """ |
3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 | """ group.r \\ input=$rdata_files \\ output=groupN1_neg.rdata \\ bandwidth=$params.bandwidth_group_N1_neg_xcms \\ minfrac=$params.minfrac_group_N1_neg_xcms \\ minsamp=$params.minsamp_group_N1_neg_xcms \\ max=$params.max_group_N1_neg_xcms \\ mzwid=$params.mzwid_group_N1_neg_xcms """ |
3386 3387 3388 3389 3390 3391 3392 3393 3394 | """ blankfilter.r \\ input=$rdata_files \\ output=blankFiltered_neg.rdata \\ method=$params.method_blankfilter_neg_xcms \\ blank=$params.blank_blankfilter_neg_xcms \\ sample=$params.sample_blankfilter_neg_xcms \\ rest=$params.rest_blankfilter_neg_xcms """ |
3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 | """ dilutionfilter.r \\ input=$rdata_files \\ output=dilutionFiltered_neg.rdata \\ Corto=$params.corto_dilutionfilter_neg_xcms \\ dilution=$params.dilution_dilutionfilter_neg_xcms \\ pvalue=$params.pvalue_dilutionfilter_neg_xcms \\ corcut=$params.corcut_dilutionfilter_neg_xcms \\ abs=$params.abs_dilutionfilter_neg_xcms """ |
3452 3453 3454 3455 3456 3457 3458 | """ cvfilter.r \\ input=$rdata_files \\ output=cvFiltered_neg.rdata \\ qc=$params.qc_cvfilter_neg_xcms \\ cvcut=$params.cvcut_cvfilter_neg_xcms """ |
3481 3482 3483 | """ xsAnnotate.r input=$rdata_files output=CameraAnnotatePeaks_neg.rdata """ |
3502 3503 3504 3505 3506 3507 3508 3509 | """ groupFWHM.r \\ input=$rdata_files \\ output=CameraGroup_neg.rdata \\ sigma=$params.sigma_group_neg_camera \\ perfwhm=$params.perfwhm_group_neg_camera \\ intval=$params.intval_group_neg_camera """ |
3528 3529 3530 3531 3532 3533 3534 | """ findAdducts.r \\ input=$rdata_files \\ output=CameraFindAdducts_neg.rdata \\ ppm=$params.ppm_findaddcuts_neg_camera \\ polarity=$params.polarity_findaddcuts_neg_camera """ |
3553 3554 3555 3556 3557 3558 | """ findIsotopes.r \\ input=$rdata_files \\ output=CameraFindIsotopes_neg.rdata \\ maxcharge=$params.maxcharge_findisotopes_neg_camera """ |
3584 3585 3586 3587 3588 3589 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}.rdata \\ inputname=${mzMLFile.baseName} """ |
3611 3612 3613 3614 3615 3616 3617 3618 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$input_args \\ output=MapMsms2Camera_neg.rdata \\ ppm=$params.ppm_mapmsmstocamera_neg_msnbase \\ rt=$params.rt_mapmsmstocamera_neg_msnbase """ |
3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 | """ mkdir out MS2ToMetFrag.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=out \\ precursorppm=$params.precursorppm_msmstoparam_neg_msnbase \\ fragmentppm=$params.fragmentppm_msmstoparam_neg_msnbase \\ fragmentabs=$params.fragmentabs_msmstoparam_neg_msnbase \\ database=$params.database_msmstoparam_neg_msnbase \\ mode=$params.mode_msmstoparam_neg_msnbase \\ adductRules=$params.adductRules_msmstoparam_neg_msnbase \\ minPeaks=$params.minPeaks_msmstoparam_neg_msnbase ls out/ -A -1 | cut -d'_' -f4- | tr ' ' '\n' | sort -u | xargs -I % find out/ -type f -iname *% -exec zip %.zip {} + """ |
3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}_class_Csifingerid_neg.csv fingerID.r \\ input=\$PWD/inputs \\ database=$params.database_csifingerid_neg_csifingerid \\ tryOffline=T \\ output=\$PWD/outputs/ \\ ncores=$params.ncore_csifingerid_neg_csifingerid \\ timeout=$params.timeout_csifingerid_neg_csifingerid \\ canopus=T \\ canopusOutput=\$PWD/${parameters.baseName}_class_Csifingerid_neg.csv zip -j -r ${parameters.baseName}_Csifingerid_neg.zip outputs/*.csv """ |
3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r Csifingerid_neg.zip all aggregateMetfrag.r \\ inputs=Csifingerid_neg.zip \\ realNames=Csifingerid_neg.zip \\ output=aggregated_identification_csifingerid_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_csifingerid_neg.csv """ |
3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_csifingerid_neg.csv \\ readTable=T else touch pep_identification_csifingerid_neg.csv fi """ |
3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 | """ if [ -s $csifingerid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$csifingerid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_csifingerid.txt \\ outputVariables=varsNEGout_neg_csifingerid.txt \\ outputMetaData=metadataNEGout_neg_csifingerid.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_csifingerid.txt \\ outputVariables=varsNEGout_neg_csifingerid.txt \\ outputMetaData=metadataNEGout_neg_csifingerid.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_neg_metfrag \\ run_metfrag.sh \\ -p {} \\ -f \$PWD/outputs/{/.}.csv \\ -l "\$PWD/$metfrag_database" \\ -s "OfflineMetFusionScore" zip -j -r ${parameters.baseName}_metfrag_neg.zip outputs/*.csv """ |
3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r metfrag_neg.zip all aggregateMetfrag.r \\ inputs=metfrag_neg.zip \\ realNames=metfrag_neg.zip \\ output=aggregated_identification_metfrag_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_metfrag_neg.csv """ |
3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=FragmenterScore \\ output=pep_identification_metfrag_neg.csv \\ readTable=T else touch pep_identification_metfrag_neg.csv fi """ |
3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 | """ if [ -s $metfrag_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$metfrag_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_metfrag.txt \\ outputVariables=varsNEGout_neg_metfrag.txt \\ outputMetaData=metadataNEGout_neg_metfrag.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=FragmenterScore \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_metfrag.txt \\ outputVariables=varsNEGout_neg_metfrag.txt \\ outputMetaData=metadataNEGout_neg_metfrag.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 | """ mkdir inputs mkdir outputs unzip -j $parameters -d inputs/ touch ${parameters.baseName}.csv find "\$PWD/inputs" -type f | \\ parallel \\ -j $params.ncore_neg_cfmid \\ cfmid.r \\ input={} \\ realName={/} \\ databaseFile=\$PWD/$cfmid_database \\ output=\$PWD/outputs/{/.}.csv \\ candidate_id=$params.candidate_id_identification_neg_cfmid \\ candidate_inchi_smiles=$params.candidate_inchi_smiles_identification_neg_cfmid \\ candidate_mass=$params.candidate_mass_identification_neg_cfmid \\ databaseNameColumn=$params.database_name_column_identification_neg_cfmid \\ databaseInChIColumn=$params.database_inchI_column_identification_neg_cfmid \\ scoreType=Jaccard zip -j -r ${parameters.baseName}_cfmid_neg.zip outputs/*.csv """ |
4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 | """ ulimit -s unlimited mkdir all for x in *.zip ; do unzip -d all -o -u \$x ; done zip -r cfmid_neg.zip all aggregateMetfrag.r \\ inputs=cfmid_neg.zip \\ realNames=cfmid_neg.zip \\ output=aggregated_identification_cfmid_neg.csv \\ filetype=zip \\ outTable=T sed -i '/^\$/d' aggregated_identification_cfmid_neg.csv """ |
4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=Jaccard_Score \\ output=pep_identification_cfmid_neg.csv \\ readTable=T else touch pep_identification_cfmid_neg.csv fi """ |
4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 | """ if [ -s $cfmid_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$cfmid_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_cfmid.txt \\ outputVariables=varsNEGout_neg_cfmid.txt \\ outputMetaData=metadataNEGout_neg_cfmid.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=Jaccard_Score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_cfmid.txt \\ outputVariables=varsNEGout_neg_cfmid.txt \\ outputMetaData=metadataNEGout_neg_cfmid.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
4244 4245 4246 | """ PeakPickerHiRes -in $mzMLFile -out $mzMLFile -ini $setting_file """ |
4267 4268 4269 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
4288 4289 4290 4291 4292 4293 4294 4295 4296 4297 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 | """ touch quant_params_library_neg.json touch rt_params_library_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ response_l=$params.ipo_response_l_library_neg \\ response_h=$params.ipo_response_h_library_neg \\ distFunc=$params.ipo_distFunc_library_neg \\ factorDiag_l=$params.ipo_factorDiag_l_library_neg \\ factorDiag_h=$params.ipo_factorDiag_h_library_neg \\ factorGap_l=$params.ipo_factorGap_l_library_neg \\ factorGap_h=$params.ipo_factorGap_h_library_neg \\ localAlignment=$params.ipo_localAlignment_library_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_neg \\ ipo_profStep_l=$params.ipo_profStep_l_library_neg \\ ipo_profStep_h=$params.ipo_profStep_h_library_neg \\ bw_l=$params.ipo_bw_l_library_neg \\ bw_h=$params.ipo_bw_h_library_neg \\ minfrac_l=$params.ipo_minfrac_l_library_neg \\ minfrac_h=$params.ipo_minfrac_h_library_neg \\ mzwid_l=$params.ipo_mzwid_l_library_neg \\ mzwid_h=$params.ipo_mzwid_h_library_neg \\ minsamp_l=$params.ipo_minsamp_l_library_neg \\ minsamp_h=$params.ipo_minsamp_h_library_neg \\ max_l=$params.ipo_max_l_library_neg \\ max_h=$params.ipo_max_h_library_neg \\ ncores=$params.ipo_ncores_library_neg \\ outputxset=quant_params_library_neg.json \\ outputrt=rt_params_library_neg.json """ |
4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_neg_xcms \\ noise=$params.noise_quant_library_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_neg_xcms \\ mzdiff=$params.mzdiff_quant_library_neg_xcms \\ snthresh=$params.snthresh_quant_library_neg_xcms \\ prefilter_l=$params.prefilter_quant_library_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_neg_xcms \\ integrate=$params.integrate_quant_library_neg_xcms \\ fitgauss=$params.fitgauss_quant_library_neg_xcms \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ ipo_inv=$ipo_library_neg_localQ \\ $filter_argument """ |
4467 4468 4469 | """ FeatureFinderMetabo -in $mzMLFile -out ${mzMLFile.baseName}.featureXML -ini $setting_file """ |
4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 | """ featurexmlToCamera.r \\ input=$mzMLFile \\ realFileName=$mzMLFile \\ mzMLfiles=\$PWD/$mzMLFile2 \\ polarity=negative \\ output=${mzMLFile.baseName}.rdata \\ sampleClass=library \\ changeNameTO=${mzMLFile.baseName}.mzML """ |
4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 | """ touch quant_params_library_neg.json touch rt_params_library_neg.json ipo.r \\ input=$inputs_aggregated \\ quantOnly=TRUE \\ allSamples=TRUE \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ response_l=$params.ipo_response_l_library_neg \\ response_h=$params.ipo_response_h_library_neg \\ distFunc=$params.ipo_distFunc_library_neg \\ factorDiag_l=$params.ipo_factorDiag_l_library_neg \\ factorDiag_h=$params.ipo_factorDiag_h_library_neg \\ factorGap_l=$params.ipo_factorGap_l_library_neg \\ factorGap_h=$params.ipo_factorGap_h_library_neg \\ localAlignment=$params.ipo_localAlignment_library_neg \\ ipo_gapInit_l=$params.ipo_gapInit_l_library_neg \\ ipo_gapInit_h=$params.ipo_gapInit_h_library_neg \\ ipo_gapExtend_l=$params.ipo_gapExtend_l_library_neg \\ ipo_gapExtend_h=$params.ipo_gapExtend_h_library_neg \\ ipo_profStep_l=$params.ipo_profStep_l_library_neg \\ ipo_profStep_h=$params.ipo_profStep_h_library_neg \\ bw_l=$params.ipo_bw_l_library_neg \\ bw_h=$params.ipo_bw_h_library_neg \\ minfrac_l=$params.ipo_minfrac_l_library_neg \\ minfrac_h=$params.ipo_minfrac_h_library_neg \\ mzwid_l=$params.ipo_mzwid_l_library_neg \\ mzwid_h=$params.ipo_mzwid_h_library_neg \\ minsamp_l=$params.ipo_minsamp_l_library_neg \\ minsamp_h=$params.ipo_minsamp_h_library_neg \\ max_l=$params.ipo_max_l_library_neg \\ max_h=$params.ipo_max_h_library_neg \\ ncores=$params.ipo_ncores_library_neg \\ outputxset=quant_params_library_neg.json \\ outputrt=rt_params_library_neg.json """ |
4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 | """ findPeaks.r \\ input=\$PWD/$mzMLFile \\ output=\$PWD/${mzMLFile.baseName}.rdata \\ ppm=$params.masstrace_ppm_library_neg_xcms \\ peakwidthLow=$params.peakwidthlow_quant_library_neg_xcms \\ peakwidthHigh=$params.peakwidthhigh_quant_library_neg_xcms \\ noise=$params.noise_quant_library_neg_xcms \\ polarity=negative \\ realFileName=$mzMLFile \\ sampleClass=$params.sampleclass_quant_library_neg_xcms \\ mzdiff=$params.mzdiff_quant_library_neg_xcms \\ snthresh=$params.snthresh_quant_library_neg_xcms \\ prefilter_l=$params.prefilter_quant_library_neg_xcms \\ prefilter_h=$params.value_of_prefilter_quant_library_neg_xcms \\ mzCenterFun=$params.mzCenterFun_quant_library_neg_xcms \\ integrate=$params.integrate_quant_library_neg_xcms \\ fitgauss=$params.fitgauss_quant_library_neg_xcms \\ methodXset=$params.ipo_methodXset_library_neg \\ methodRT=$params.ipo_methodRT_library_neg \\ noise_l=$params.ipo_noise_l_library_neg \\ noise_h=$params.ipo_noise_h_library_neg \\ prefilter_l_l=$params.ipo_prefilter_l_l_library_neg \\ prefilter_l_h=$params.ipo_prefilter_l_h_library_neg \\ prefilter_h_l=$params.ipo_prefilter_h_l_library_neg \\ prefilter_h_h=$params.ipo_prefilter_h_h_library_neg \\ snthresh_l=$params.ipo_snthresh_l_library_neg \\ snthresh_h=$params.ipo_snthresh_h_library_neg \\ mzCenterFun=$params.ipo_mzCenterFun_library_neg \\ integrate=$params.ipo_integrate_library_neg \\ fitgauss=$params.ipo_fitgauss_library_neg \\ ipo_min_peakwidth_l=$params.ipo_min_peakwidth_l_library_neg \\ ipo_min_peakwidth_h=$params.ipo_min_peakwidth_h_library_neg \\ ipo_max_peakwidth_l=$params.ipo_max_peakwidth_l_library_neg \\ ipo_max_peakwidth_h=$params.ipo_max_peakwidth_h_library_neg \\ ipo_ppm_l=$params.ipo_ppm_l_library_neg \\ ipo_ppm_h=$params.ipo_ppm_h_library_neg \\ ipo_mzdiff_l=$params.ipo_mzdiff_l_library_neg \\ ipo_mzdiff_h=$params.ipo_mzdiff_h_library_neg \\ ipo_charge_camera=$params.ipo_charge_camera_library_neg \\ ipo_max_ppm_camera=$params.ipo_max_ppm_camera_library_neg \\ ipo_inv=$ipo_library_neg_localQ \\ $filter_argument """ |
4664 4665 4666 | """ xsAnnotate.r input=$rdata_files output=${rdata_files.baseName}.rdata """ |
4685 4686 4687 4688 4689 4690 4691 4692 | """ groupFWHM.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ sigma=$params.sigma_group_library_neg_camera \\ perfwhm=$params.perfwhm_group_library_neg_camera \\ intval=$params.intval_group_library_neg_camera """ |
4711 4712 4713 4714 4715 4716 4717 | """ findAdducts.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ ppm=$params.ppm_findaddcuts_library_neg_camera \\ polarity=$params.polarity_findaddcuts_library_neg_camera """ |
4737 4738 4739 4740 4741 4742 | """ findIsotopes.r \\ input=$rdata_files \\ output=${rdata_files.baseName}.rdata \\ maxcharge=$params.maxcharge_findisotopes_library_neg_camera """ |
4761 4762 4763 4764 4765 4766 | """ readMS2MSnBase.r \\ input=$mzMLFile \\ output=${mzMLFile.baseName}_ReadMsmsLibrary.rdata \\ inputname=${mzMLFile.baseName} """ |
4790 4791 4792 4793 4794 4795 4796 4797 | """ mapMS2ToCamera.r \\ inputCAMERA=$rdata_files_ms1 \\ inputMS2=$rdata_files_ms2 \\ output=${rdata_files_ms1.baseName}_MapMsms2Camera_library_neg.rdata \\ ppm=$params.ppm_mapmsmstocamera_library_neg_msnbase \\ rt=$params.rt_mapmsmstocamera_library_neg_msnbase """ |
4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 | """ mkdir out createLibrary.r \\ inputCAMERA=$rdata_camera \\ precursorppm=$params.ppm_create_library_neg_msnbase \\ inputMS2=$ms2_data \\ output=${rdata_camera.baseName}.csv \\ inputLibrary=$library_desc \\ rawFileName=$params.raw_file_name_preparelibrary_neg_msnbase \\ compundID=$params.compund_id_preparelibrary_neg_msnbase \\ compoundName=$params.compound_name_preparelibrary_neg_msnbase \\ mzCol=$params.mz_col_preparelibrary_neg_msnbase \\ whichmz=$params.which_mz_preparelibrary_neg_msnbase """ |
4855 4856 4857 4858 4859 4860 | """ collectLibrary.r \\ inputs=$aggregatecdlibrary \\ realNames=$aggregatecdlibrary \\ output=library_neg.csv """ |
4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 | """ #!env Rscript Files<-list.files(,pattern = "zip",full.names=T) Files_org<-list.files(,pattern = "zip") for(f in Files){ zip::unzip(zipfile = f,junkpaths = T) } Files<-list.files(,pattern = "txt",full.names=T) FilesTMP<-sapply(strsplit(split = "_",fixed = T,x = basename(Files)),function(x){paste(x[-1],collapse = "_")}) FileDub<-Files[duplicated(FilesTMP)] for(x in FileDub){ file.remove(x) } files_to_pass<-list.files(pattern="txt") files_to_pass<-files_to_pass[!files_to_pass%in%Files_org] zip::zip(zipfile="mappedtometfrag_neg.zip",files=files_to_pass) """ |
4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_neg.csv \\ -th "-1" \\ -im neg \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_neg_msnbase sed -i '/^\$/d' aggregated_identification_library_neg.csv """ |
4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 | """ librarySearchEngine.r \\ -l $libraryFile \\ -i $parameters \\ -out aggregated_identification_library_neg.csv \\ -th "-1" \\ -im neg \\ -ts Scoredotproduct \\ -rs 1000 \\ -ncore $params.ncore_searchengine_library_neg_msnbase sed -i '/^\$/d' aggregated_identification_library_neg.csv """ |
4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 | """ if [ -s $identification_result ]; then metfragPEP.r \\ input=$identification_result \\ score=score \\ output=pep_identification_library_neg.csv \\ readTable=T else touch pep_identification_library_neg.csv fi """ |
5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 | """ if [ -s $library_input_identification ]; then prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputscores=$library_input_identification \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_library.txt \\ outputVariables=varsNEGout_neg_library.txt \\ outputMetaData=metadataNEGout_neg_library.txt \\ Ifnormalize=$params.normalize_output_neg_camera else prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_neg_library.txt \\ outputVariables=varsNEGout_neg_library.txt \\ outputMetaData=metadataNEGout_neg_library.txt \\ Ifnormalize=$params.normalize_output_neg_camera fi """ |
5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 | """ prepareOutput.r \\ inputcamera=$camera_input_quant \\ inputpheno=$phenotype_file \\ ppm=$params.ppm_output_neg_camera \\ rt=$params.rt_output_neg_camera \\ higherTheBetter=true \\ scoreColumn=score \\ impute=$params.impute_output_neg_camera \\ typeColumn=$params.type_column_output_neg_camera \\ selectedType=$params.selected_type_output_neg_camera \\ rename=$params.rename_output_neg_camera \\ renameCol=$params.rename_col_output_neg_camera \\ onlyReportWithID=$params.only_report_with_id_output_neg_camera \\ combineReplicate=$params.combine_replicate_output_neg_camera \\ combineReplicateColumn=$params.combine_replicate_column_output_neg_camera \\ log=$params.log_output_neg_camera \\ sampleCoverage=$params.sample_coverage_output_neg_camera \\ outputPeakTable=peaktableNEGout_NEG_noid.txt \\ outputVariables=varsNEGout_neg_noid.txt \\ outputMetaData=metadataNEGout_neg_noid.txt \\ Ifnormalize=$params.normalize_output_neg_camera """ |
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