Explore Workflows
View already parsed workflows here or click here to add your own
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Varscan Workflow
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Path: definitions/subworkflows/varscan_germline.cwl Branch/Commit ID: ad65dc1dfff9afa5077f498b85e699716c47f6cb |
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fasta2taxa-plot
Input is a fasta file with n>1 samples, with sample id as sequence identifier prefix, and a sample id file. The workflow calls open otus and assigns taxa using greengenes. The output are taxa plots. |
Path: CWL/Workflows/qiime/join-reads2reference2plot.cwl Branch/Commit ID: 3565f6f4d26f5709aff56e6a266dbb7c7d6129d8 |
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Exome QC workflow
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Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl Branch/Commit ID: dc2c019c1aa24cc01b451a0f048cf94a35f163c4 |
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Subworkflow to allow calling different SV callers which require bam files as inputs
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Path: definitions/subworkflows/single_sample_sv_callers.cwl Branch/Commit ID: efbbe5ed51f6ac583e87a348785c72818a33f56e |
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running cellranger mkfastq and count
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Path: definitions/subworkflows/cellranger_mkfastq_and_count.cwl Branch/Commit ID: efbbe5ed51f6ac583e87a348785c72818a33f56e |
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original.cwl#main_pipeline
Simulation steps pipeline |
Path: workflow_in_workflow/original.cwl Branch/Commit ID: cb62ab53f349bf64e880199d1e148439ebe456c1 Packed ID: main_pipeline |
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Build STAR indices
Workflow runs [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) to build indices for reference genome provided in a single FASTA file as fasta_file input and GTF annotation file from annotation_gtf_file input. Generated indices are saved in a folder with the name that corresponds to the input genome. |
Path: workflows/star-index.cwl Branch/Commit ID: dda6e8b5ada3f106a2b3bfcc1b151eccf9977726 |
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rRNA_selection.cwl
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Path: tools/rRNA_selection.cwl Branch/Commit ID: 19fce22aa01f8d7d068dc7f11f5e0a3bdb9cf854 |
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Viral contig assign
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Path: cwl/src/Tools/Assign/assign_swf.cwl Branch/Commit ID: b0ed3f07c8faced85609287759596ad83e154977 |
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DiffBind - Differential Binding Analysis of ChIP-Seq or CUTß&RUN/Tag Peak Data
Differential Binding Analysis of ChIP-Seq or CUT&RUN/Tag Peak Data --------------------------------------------------- DiffBind processes ChIP-Seq or CUT&RUN/Tag data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by peak caller tools and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP or CUT&RUN/Tag experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4. |
Path: workflows/diffbind.cwl Branch/Commit ID: 12e5256de1b680c551c87fd5db6f3bc65428af67 |
