Explore Workflows

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

Graph Name Retrieved From View
workflow graph genomics-workspace-transcript.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_genomicsWorkspace/genomics-workspace-transcript.cwl

Branch/Commit ID: 0b58c250e8ab7c5efae29443f08ea74316127041
workflow graph bgzip and index VCF

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

Path: definitions/subworkflows/bgzip_and_index.cwl

Branch/Commit ID: 2e0562a5c3cd7aac24af4c622a5ae68a7fb23a71
workflow graph revsort-array.cwl

Reverse the lines in a document, then sort those lines.

 https://github.com/Duke-GCB/calrissian.git

Path: input-data/revsort-array.cwl

Branch/Commit ID: 9a0dee9963434e973f2d238340be60f47298033b
workflow graph genomics-workspace-transcript.cwl

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_genomicsWorkspace/genomics-workspace-transcript.cwl

Branch/Commit ID: 7198756b4b1519d102178042924671bd677e9b17
workflow graph tt_kmer_top_n.cwl

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_top_n.cwl

Branch/Commit ID: 02816f0d66e36c8eeba02d211cc90e36bf1c9df5
workflow graph wgs alignment with qc

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

Path: definitions/pipelines/alignment_wgs.cwl

Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a
workflow graph Detect Variants workflow for WGS pipeline

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

Path: definitions/pipelines/detect_variants_wgs.cwl

Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a
workflow graph 1st-workflow.cwl

https://github.com/common-workflow-language/user_guide.git

Path: _includes/cwl/22-nested-workflows/1st-workflow.cwl

Branch/Commit ID: 4af7d2c63a1604b4558bd616ccd7dbb664fd8d1b
workflow graph wf_get_reproducible_eclip_peaks.cwl

The main workflow that produces two reproducible peaks via IDR given two eCLIP samples (1 input, 1 IP each).

https://github.com/YeoLab/merge_peaks.git

Path: cwl/wf_get_reproducible_eclip_peaks.cwl

Branch/Commit ID: aedc0a14d4ba109ee65678a3201a52c5bb6ad473
workflow graph Bismark Methylation - pipeline for BS-Seq data analysis

Sequence reads are first cleaned from adapters and transformed into fully bisulfite-converted forward (C->T) and reverse read (G->A conversion of the forward strand) versions, before they are aligned to similarly converted versions of the genome (also C->T and G->A converted). Sequence reads that produce a unique best alignment from the four alignment processes against the bisulfite genomes (which are running in parallel) are then compared to the normal genomic sequence and the methylation state of all cytosine positions in the read is inferred. A read is considered to align uniquely if an alignment has a unique best alignment score (as reported by the AS:i field). If a read produces several alignments with the same number of mismatches or with the same alignment score (AS:i field), a read (or a read-pair) is discarded altogether. On the next step we extract the methylation call for every single C analysed. The position of every single C will be written out to a new output file, depending on its context (CpG, CHG or CHH), whereby methylated Cs will be labelled as forward reads (+), non-methylated Cs as reverse reads (-). The output of the methylation extractor is then transformed into a bedGraph and coverage file. The bedGraph counts output is then used to generate a genome-wide cytosine report which reports the number on every single CpG (optionally every single cytosine) in the genome, irrespective of whether it was covered by any reads or not. As this type of report is informative for cytosines on both strands the output may be fairly large (~46mn CpG positions or >1.2bn total cytosine positions in the human genome).

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

Path: workflows/bismark-methylation-se.cwl

Branch/Commit ID: b1a5dabeeeb9079b30b2871edd9c9034a1e00c1c