Explore Workflows

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

Graph	Name	Retrieved From	View
	mutect panel-of-normals workflow	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/panel_of_normals.cwl Branch/Commit ID: 641083e9ed933d388f36fa04c00c20a810599e94
	cram_to_bam workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/cram_to_bam_and_index.cwl Branch/Commit ID: d57c2af01a3cb6016e5a264f60641eafd2e5aa05
	exome alignment and somatic variant detection	https://github.com/genome/analysis-workflows.git Path: definitions/pipelines/somatic_exome_nonhuman.cwl Branch/Commit ID: b9e7392e72506cadd898a6ac4db330baf6535ab6
	ST520103.cwl	https://github.com/Marco-Salvi/cwl-test.git Path: wf5201/ST520103.cwl Branch/Commit ID: 0e6cfe0646173e228b2fce63e23ed8f9d78598b0
	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 rmdup` samtools\_rmdup to get rid of duplicated reads. If removing duplicates is not required the original BAM and BAI files are returned. Otherwise step samtools\_sort\_index\_after\_rmdup repeat `samtools sort` and `samtools index` with BAM and BAI files without duplicates. 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: a0b22644ca178b640fb74849d23b7c631022f0b5
	Generate genome indices for STAR & bowtie Creates indices for: * [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) * [bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) It performs the following steps: 1. `STAR --runMode genomeGenerate` to generate indices, based on [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) and [GTF](http://mblab.wustl.edu/GTF2.html) input files, returns results as an array of files 2. Outputs indices as [Direcotry](http://www.commonwl.org/v1.0/CommandLineTool.html#Directory) data type 3. Separates chrNameLength.txt file from Directory output 4. `bowtie-build` to generate indices requires genome [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) file as input, returns results as a group of main and secondary files	https://github.com/datirium/workflows.git Path: workflows/genome-indices.cwl Branch/Commit ID: 5f4f9c63a4183eabd10e11d9e86cf054ef7ced05
	ani_top_n	https://github.com/ncbi/pgap.git Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: a2d6cd4c53bf3501f6bd79edebb7ca30bba8456f
	umi molecular alignment workflow	https://github.com/genome/analysis-workflows.git Path: definitions/subworkflows/molecular_qc.cwl Branch/Commit ID: 4a04ad33e311c5e647cef848b74034477cb3c47e
	picard_markduplicates Mark duplicates	https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git Path: structuralvariants/cwl/subworkflows/picard_markduplicates.cwl Branch/Commit ID: 6ccec9c5c5bc9fb4e75ca0b9cc22d13df9ffb815
	rnaseq-se-dutp.cwl RNA-Seq basic analysis workflow for strand specific single-read experiment.	https://github.com/datirium/workflows.git Path: workflows/rnaseq-se-dutp.cwl Branch/Commit ID: db6abb2735f87614b870fca9990d36ea786cbbce