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Graph Name Retrieved From View
workflow graph exomeseq-gatk4-03-organizedirectories.cwl

https://github.com/duke-gcb/bespin-cwl.git

Path: subworkflows/exomeseq-gatk4-03-organizedirectories.cwl

Branch/Commit ID: master

workflow graph Bismark Methylation PE

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-pe.cwl

Branch/Commit ID: master

workflow graph star_samtools_stringtie_prepDE_DESeq2.cwl

https://github.com/rawgene/cwl.git

Path: workflows/star_samtools_stringtie_prepDE_DESeq2.cwl

Branch/Commit ID: master

workflow graph Subworkflow to allow calling cnvkit with cram instead of bam files

https://github.com/tmooney/cancer-genomics-workflow.git

Path: definitions/subworkflows/cram_to_cnvkit.cwl

Branch/Commit ID: downsample_and_recall

workflow graph varscan somatic workflow

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

Path: definitions/subworkflows/varscan.cwl

Branch/Commit ID: master

workflow graph wf_blastit.cwl

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

Path: contam_filter/wf_blastit.cwl

Branch/Commit ID: master

workflow graph md5sum-workflow.cwl

https://github.com/dockstore-testing/md5sum-checker.git

Path: md5sum/md5sum-workflow.cwl

Branch/Commit ID: master

workflow graph qc_generator

https://github.com/msk-access/qc_generation.git

Path: access_qc__packed.cwl

Branch/Commit ID: develop

Packed ID: qc_generator.cwl

workflow graph EMG pipeline v3.0 (draft CWL version)

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3.cwl

Branch/Commit ID: 3168316

workflow graph rnaseq_pipeline_fastq_checker.cwl

https://github.com/heliumdatacommons/TOPMed_RNAseq_CWL.git

Path: workflow/checker-workflows/rnaseq_pipeline_fastq_checker.cwl

Branch/Commit ID: master