Explore Workflows

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Graph Name Retrieved From View
workflow graph pipeline-pe.cwl

STARR-seq pipeline - reads: PE

 https://github.com/alexbarrera/GGR-cwl.git

Path: v1.0/STARR-seq_pipeline/pipeline-pe.cwl

Branch/Commit ID: 4e568335133405d28f4b73ae11e7f51f2900dfa3
workflow graph count-lines11-wf.cwl

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

Path: cwltool/schemas/v1.0/v1.0/count-lines11-wf.cwl

Branch/Commit ID: 9f3b9e7b74d5a904b12674dfd1300b56a48c3d33
workflow graph phase VCF

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

Path: definitions/subworkflows/phase_vcf.cwl

Branch/Commit ID: 3b6d0475c80f5e452793a46a38ee188742b86595
workflow graph id_to_json_workflow.cwl

https://github.com/sfu-ireceptor/AIRR-seqAA.git

Path: cwl/id_to_json_workflow.cwl

Branch/Commit ID: d02d2e42ee53055708b6ea0a921a34a2ca77cbf6
workflow graph kmer_cache_retrieve

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

Path: task_types/tt_kmer_cache_retrieve.cwl

Branch/Commit ID: 2d54b11cc9891c9aa52515fe4f8cd9cba12c6629
workflow graph scatter-valuefrom-wf4.cwl#main

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

Path: v1.0/v1.0/scatter-valuefrom-wf4.cwl

Branch/Commit ID: 4fe434e969c93c94b690ba72db295d9d52a6f576

Packed ID: main
workflow graph xenbase-sra-to-fastq-se.cwl

https://github.com/Barski-lab/workflows.git

Path: subworkflows/xenbase-sra-to-fastq-se.cwl

Branch/Commit ID: 378f693ebfb3edf9f589007e366fec1195ec1464
workflow graph bam to trimmed fastqs

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

Path: definitions/subworkflows/bam_to_trimmed_fastq.cwl

Branch/Commit ID: 4aba7c6591c2f1ebd827a36d325a58738c429bea
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: 4360fb2e778ecee42e5f78f83b78c65ab3a2b1df
workflow graph Alignment without BQSR

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

Path: definitions/subworkflows/sequence_to_bqsr_mouse.cwl

Branch/Commit ID: adcae308fdccaa1190083616118dfadb4df65dca