Explore Workflows

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

Graph Name Retrieved From View
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: 5be54bf09092c53e6c7797a875f64a360d511d7f
workflow graph WGS QC workflow

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

Path: definitions/subworkflows/qc_wgs.cwl

Branch/Commit ID: 5be54bf09092c53e6c7797a875f64a360d511d7f
workflow graph 1st-workflow.cwl

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

Path: v1.0/examples/1st-workflow.cwl

Branch/Commit ID: 29293435a8f26df09d92e25dcf46456f06cac841
workflow graph fp_filter workflow

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

Path: definitions/subworkflows/fp_filter.cwl

Branch/Commit ID: 31a179d7a2f2ac86bfd7fcc4dc79832c3739ae76
workflow graph scatter GATK HaplotypeCaller over intervals

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

Path: definitions/subworkflows/gatk_haplotypecaller_iterator.cwl

Branch/Commit ID: 5be54bf09092c53e6c7797a875f64a360d511d7f
workflow graph bam_readcount workflow

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

Path: definitions/subworkflows/bam_readcount.cwl

Branch/Commit ID: 5be54bf09092c53e6c7797a875f64a360d511d7f
workflow graph Varscan Workflow

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

Path: definitions/subworkflows/varscan_pre_and_post_processing.cwl

Branch/Commit ID: 5be54bf09092c53e6c7797a875f64a360d511d7f
workflow graph HLA_LA_workflow_full.cwl

https://github.com/mdaya/hla_la_typing.git

Path: HLA_LA_workflow_full.cwl

Branch/Commit ID: f6d1debfd7fcaf203a38aad7ff57f689c2cbbbfd
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: 5be54bf09092c53e6c7797a875f64a360d511d7f
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: 2c486543c335bb99b245dfe7e2f033f535efb9cf