Explore Workflows

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

Graph Name Retrieved From View
workflow graph fastqSE2bam.multisamples.cwl

https://github.com/ddbj/human-reseq.git

Path: Workflows/fastqSE2bam.multisamples.cwl

Branch/Commit ID: a1c9cd63c80122d6a831059cdb73ec9a9455af6f
workflow graph QIIME2 Step 1

QIIME2 Import and Demux Step 1

https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/qiime2-step1-import-demux.cwl

Branch/Commit ID: ef08cb00bd55b4c712645d171dbc691e01ed6165

Packed ID: main
workflow graph Subworkflow to allow calling cnvkit with cram instead of bam files

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

Path: definitions/subworkflows/cram_to_cnvkit.cwl

Branch/Commit ID: 5c4125344b1b9125ad04d7e768ecc99901570a7a
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: ad948b2691ef7f0f34de38f0102c3cd6f5182b29
workflow graph bgzip and index VCF

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

Path: definitions/subworkflows/bgzip_and_index.cwl

Branch/Commit ID: 480c438a6a7e78c624712aec01bc4214d2bc179c
workflow graph phase VCF

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

Path: definitions/subworkflows/phase_vcf.cwl

Branch/Commit ID: 2decd55996b912feb48be5db1b052aa3274ee405
workflow graph HS Metrics workflow

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

Path: definitions/subworkflows/hs_metrics.cwl

Branch/Commit ID: 5c4125344b1b9125ad04d7e768ecc99901570a7a
workflow graph CLE gold vcf evaluation workflow

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

Path: definitions/subworkflows/vcf_eval_cle_gold.cwl

Branch/Commit ID: 2decd55996b912feb48be5db1b052aa3274ee405
workflow graph Build Bowtie indices

Workflow runs [Bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) to build indices for reference genome provided in a single FASTA file as fasta_file input. Generated indices are saved in a folder with the name that corresponds to the input genome

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

Path: workflows/bowtie-index.cwl

Branch/Commit ID: 17a4a68b20e0af656e09714c1f39fe761b518686
workflow graph Build Bowtie indices

Workflow runs [Bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) to build indices for reference genome provided in a single FASTA file as fasta_file input. Generated indices are saved in a folder with the name that corresponds to the input genome

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

Path: workflows/bowtie-index.cwl

Branch/Commit ID: e0a30aa1ad516dd2ec0e9ce006428964b840daf4