Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph snaptools_create_snap_file.cwl

https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git

Path: steps/snaptools_create_snap_file.cwl

Branch/Commit ID: 44dbe381f68878ab607b167b62267c4ea97f3322

workflow graph Filter single sample sv vcf from depth callers(cnvkit/cnvnator)

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/sv_depth_caller_filter.cwl

Branch/Commit ID: efbbe5ed51f6ac583e87a348785c72818a33f56e

workflow graph Filter ChIP/ATAC/cut&run/diffbind peaks for Tag Density Profile or Motif Enrichment analyses

Filters ChIP/ATAC/cut&run/diffbind peaks with the neatest genes assigned for Tag Density Profile or Motif Enrichment analyses ============================================================================================================ Tool filters output from any ChIP/ATAC/cut&run/diffbind pipeline to create a file with regions of interest for Tag Density Profile or Motif Enrichment analyses. Peaks with duplicated coordinates are discarded.

https://github.com/datirium/workflows.git

Path: workflows/filter-peaks-for-heatmap.cwl

Branch/Commit ID: fa4f172486288a1a9d23864f1d6962d85a453e16

workflow graph Subworkflow that runs cnvkit in single sample mode and returns a vcf file

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/cnvkit_single_sample.cwl

Branch/Commit ID: efbbe5ed51f6ac583e87a348785c72818a33f56e

workflow graph Restore contig names

Restore the contig names using the map file in ppmeta, virfinder and virsorter output files.

https://github.com/EBI-Metagenomics/emg-viral-pipeline.git

Path: cwl/src/Tools/RestoreOutputNames/restore_tools_outputs_swf.cwl

Branch/Commit ID: b0ed3f07c8faced85609287759596ad83e154977

workflow graph Filter single sample sv vcf from paired read callers(Manta/Smoove)

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/sv_paired_read_caller_filter.cwl

Branch/Commit ID: efbbe5ed51f6ac583e87a348785c72818a33f56e

workflow graph stdout-wf_v1_0.cwl

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/stdout-wf_v1_0.cwl

Branch/Commit ID: 8058c7477097f90205dd7d8481781eb3737ea9c9

workflow graph 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.

https://github.com/MG-RAST/qiime-pipeline.git

Path: CWL/Workflows/qiime/join-reads2plot.cwl

Branch/Commit ID: 3565f6f4d26f5709aff56e6a266dbb7c7d6129d8

workflow graph IMG/VR blast

Run blast against IMG/VR

https://github.com/EBI-Metagenomics/emg-viral-pipeline.git

Path: cwl/src/Tools/IMGvrBlast/imgvr_blast_swf.cwl

Branch/Commit ID: b0ed3f07c8faced85609287759596ad83e154977

workflow graph Deprecated. ChIP-Seq pipeline paired-end

The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **ChIP-Seq** basic analysis workflow for a **paired-end** experiment. A [FASTQ](http://maq.sourceforge.net/fastq.shtml) input file has to be provided. The pipeline produces a sorted BAM file alongside with index BAI file, quality statistics of the input FASTQ file, coverage by estimated fragments as a BigWig file, peaks calling data in a form of narrowPeak or broadPeak files, islands with the assigned nearest genes and region type, data for average tag density plot. Workflow starts with step *fastx\_quality\_stats* from FASTX-Toolkit to calculate quality statistics for input FASTQ file. At the same time `bowtie` is used to align reads from input FASTQ file to reference genome *bowtie\_aligner*. The output of this step is an unsorted SAM file which is being sorted and indexed by `samtools sort` and `samtools index` *samtools\_sort\_index*. Depending on workflow’s input parameters indexed and sorted BAM file can be processed by `samtools markdup` *samtools\_remove\_duplicates* to get rid of duplicated reads. Next `macs2 callpeak` performs peak calling *macs2\_callpeak* and the next step reports *macs2\_island\_count* the number of islands and estimated fragment size. If the latter is less that 80bp (hardcoded in the workflow) `macs2 callpeak` is rerun again with forced fixed fragment size value (*macs2\_callpeak\_forced*). It is also possible to force MACS2 to use pre set fragment size in the first place. Next step (*macs2\_stat*) is used to define which of the islands and estimated fragment size should be used in workflow output: either from *macs2\_island\_count* step or from *macs2\_island\_count\_forced* step. If input trigger of this step is set to True it means that *macs2\_callpeak\_forced* step was run and it returned different from *macs2\_callpeak* step results, so *macs2\_stat* step should return [fragments\_new, fragments\_old, islands\_new], if trigger is False the step returns [fragments\_old, fragments\_old, islands\_old], where sufix \"old\" defines results obtained from *macs2\_island\_count* step and sufix \"new\" - from *macs2\_island\_count\_forced* step. The following two steps (*bamtools\_stats* and *bam\_to\_bigwig*) are used to calculate coverage from BAM file and save it in BigWig format. For that purpose bamtools stats returns the number of mapped reads which is then used as scaling factor by bedtools genomecov when it performs coverage calculation and saves it as a BEDgraph file whichis then sorted and converted to BigWig format by bedGraphToBigWig tool from UCSC utilities. Step *get\_stat* is used to return a text file with statistics in a form of [TOTAL, ALIGNED, SUPRESSED, USED] reads count. Step *island\_intersect* assigns nearest genes and regions to the islands obtained from *macs2\_callpeak\_forced*. Step *average\_tag\_density* is used to calculate data for average tag density plot from the BAM file.

https://github.com/datirium/workflows.git

Path: workflows/chipseq-pe.cwl

Branch/Commit ID: fa4f172486288a1a9d23864f1d6962d85a453e16