Explore Workflows

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

Graph Name Retrieved From View
workflow graph foreign_screening.cwl

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

Path: vecscreen/foreign_screening.cwl

Branch/Commit ID: 505b91e41741ccbcd5ebd2b6a09a3be604f9ece3
workflow graph wgs alignment and germline variant detection

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

Path: definitions/pipelines/germline_wgs.cwl

Branch/Commit ID: 9cbf2a483e1b9e4cdb8e2564be27a9e64fc1169e
workflow graph Unaligned BAM to BQSR and VCF

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

Path: definitions/subworkflows/bam_to_bqsr_no_dup_marking.cwl

Branch/Commit ID: 3042812447d9e8889c6118986490e9c9b9b13223
workflow graph epigenome-chip-seq.packed.cwl#main

https://github.com/pitagora-network/DAT2-cwl.git

Path: workflow/epigenome-chip-seq/epigenome-chip-seq.packed.cwl

Branch/Commit ID: 0cd20e1be620ae0817a1aa4286d73b78c89809f0

Packed ID: main
workflow graph Cell Ranger Build Reference Indices

Cell Ranger Build Reference Indices ===================================

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

Path: workflows/cellranger-mkref.cwl

Branch/Commit ID: 935a78f1aff757f977de4e3672aefead3b23606b
workflow graph umi duplex alignment workflow

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

Path: definitions/subworkflows/duplex_alignment.cwl

Branch/Commit ID: 6f9f8a2057c6a9f221a44559f671e87a75c70075
workflow graph final_filtering

Final filtering

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/final_filtering.cwl

Branch/Commit ID: de9cb009f8fe0c8d5a94db5c882cf21ddf372452
workflow graph cnv_gridss

CNV GRIDSS calling

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/abstract_operations/subworkflows/cnv_gridss.cwl

Branch/Commit ID: 3f6a871f81f343cf81a345f73ff2eeac70804b8c
workflow graph FASTQ to BQSR

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

Path: definitions/subworkflows/fastq_to_bqsr.cwl

Branch/Commit ID: 6f9f8a2057c6a9f221a44559f671e87a75c70075
workflow graph GAT - Genomic Association Tester

GAT: Genomic Association Tester ============================================== A common question in genomic analysis is whether two sets of genomic intervals overlap significantly. This question arises, for example, in the interpretation of ChIP-Seq or RNA-Seq data. The Genomic Association Tester (GAT) is a tool for computing the significance of overlap between multiple sets of genomic intervals. GAT estimates significance based on simulation. Gat implemements a sampling algorithm. Given a chromosome (workspace) and segments of interest, for example from a ChIP-Seq experiment, gat creates randomized version of the segments of interest falling into the workspace. These sampled segments are then compared to existing genomic annotations. The sampling method is conceptually simple. Randomized samples of the segments of interest are created in a two-step procedure. Firstly, a segment size is selected from to same size distribution as the original segments of interest. Secondly, a random position is assigned to the segment. The sampling stops when exactly the same number of nucleotides have been sampled. To improve the speed of sampling, segment overlap is not resolved until the very end of the sampling procedure. Conflicts are then resolved by randomly removing and re-sampling segments until a covering set has been achieved. Because the size of randomized segments is derived from the observed segment size distribution of the segments of interest, the actual segment sizes in the sampled segments are usually not exactly identical to the ones in the segments of interest. This is in contrast to a sampling method that permutes segment positions within the workspace.

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

Path: workflows/gat-run.cwl

Branch/Commit ID: 60854b5d299df91e135e05d02f4be61f6a310fbc