Explore Workflows

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Graph Name Retrieved From View
workflow graph bam to trimmed fastqs and biscuit alignments

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

Path: definitions/subworkflows/bam_to_trimmed_fastq_and_biscuit_alignments.cwl

Branch/Commit ID: 72c4c3115956340f35e72cda1fd46ec276f1ca03

workflow graph scatter-valuefrom-wf4.cwl#main

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/scatter-valuefrom-wf4.cwl

Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5

Packed ID: main

workflow graph test-extract_pieda.cwl

https://github.com/kyusque/abmp_log_dump2pieda.git

Path: test-extract_pieda.cwl

Branch/Commit ID: 36d894eed604a2ba8ccaeaa3449f25b4128d224d

workflow graph Exome QC workflow

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

Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl

Branch/Commit ID: 24e5290aec441665c6976ee3ee8ae3574c49c6b5

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: 954bb2f213d97dfef1cddaf9e830169a92ad0c6b

workflow graph Unaligned bam to sorted, markduped bam

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

Path: definitions/subworkflows/align_sort_markdup.cwl

Branch/Commit ID: 24e5290aec441665c6976ee3ee8ae3574c49c6b5

workflow graph workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_md5checksums/workflow.cwl

Branch/Commit ID: 5910b4d88aca172252d9102ddb610a7dc9e1347f

workflow graph readme-assembly-workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_create_readme/readme-assembly-workflow.cwl

Branch/Commit ID: 5910b4d88aca172252d9102ddb610a7dc9e1347f

workflow graph workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_download/workflow.cwl

Branch/Commit ID: 5910b4d88aca172252d9102ddb610a7dc9e1347f

workflow graph readme-genePrediction-workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: flow_create_readme/readme-genePrediction-workflow.cwl

Branch/Commit ID: 5910b4d88aca172252d9102ddb610a7dc9e1347f