Explore Workflows

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Graph Name Retrieved From View
workflow graph gather AML trio outputs

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

Path: definitions/pipelines/aml_trio_cle_gathered.cwl

Branch/Commit ID: 3b6d0475c80f5e452793a46a38ee188742b86595
workflow graph Motif Finding with HOMER with random background regions

Motif Finding with HOMER with random background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. Here is how we generate background for Motifs Analysis ------------------------------------- 1. Take input file with regions in a form of “chr\" “start\" “end\" 2. Sort and remove duplicates from this regions file 3. Extend each region in 20Kb into both directions 4. Merge all overlapped extended regions 5. Subtract not extended regions from the extended ones 6. Randomly distribute not extended regions within the regions that we got as a result of the previous step 7. Get fasta file from these randomly distributed regions (from the previous step). Use it as background For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/)

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

Path: workflows/homer-motif-analysis.cwl

Branch/Commit ID: 29bf638904709cfbf10908adcd51ba4886ace94a
workflow graph Exome QC workflow

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

Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl

Branch/Commit ID: 9a657bc8c462542dc7f57fba9e04dc1669f966ba
workflow graph Apply filters to VCF file

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

Path: definitions/subworkflows/filter_vcf_nonhuman.cwl

Branch/Commit ID: a08de598edc04f340fdbff76c9a92336a7702022
workflow graph Subworkflow that runs cnvkit in single sample mode and returns a vcf file

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

Path: definitions/subworkflows/cnvkit_single_sample.cwl

Branch/Commit ID: 1750cd5cc653f058f521b6195e3bec1e7df1a086
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: 9a657bc8c462542dc7f57fba9e04dc1669f966ba
workflow graph wf-svcall.cwl

https://github.com/bcbio/bcbio_validation_workflows.git

Path: wes-agha-test/wes_chr21_test-workflow-gcp/wf-svcall.cwl

Branch/Commit ID: af9a5621efcb44c249697d6df071fe4defe389ac
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: c8041aa592129c65d2df1298362d0bca575605c4
workflow graph workflow.cwl

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

Path: structuralvariants/workflow.cwl

Branch/Commit ID: 2297e27b38e3151b9d93ffd2bc3e2a31b8725c61
workflow graph CNV_FPS

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

Path: structuralvariants/workflow.cwl

Branch/Commit ID: 1a8c6bc41c83476a5496bbaca5c3d870cfd8c21e