Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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kmer_cache_store
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![]() Path: task_types/tt_kmer_cache_store.cwl Branch/Commit ID: 1b9094d70f620bb2e51072dd2150150aa4927439 |
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trnascan_wnode and gpx_qdump combined
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![]() Path: bacterial_trna/wf_scan_and_dump.cwl Branch/Commit ID: e2a6cbcc36212433d8fbc804919442787a5e2a49 |
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revsort-single-no-docker.cwl
Reverse the lines in a document, then sort those lines. |
![]() Path: input-data/revsort-single-no-docker.cwl Branch/Commit ID: 68362997c0f3d73dc753f08696148d1c5de70017 |
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Run pindel on provided region
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![]() Path: definitions/subworkflows/pindel_region.cwl Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5 |
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alignment_bwa_mem_prod.cwl
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![]() Path: genomel/cwl/workflows/harmonization/alignment_bwa_mem_prod.cwl Branch/Commit ID: c661469505c606e1353f23c21a6654724a9d8d63 |
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Running cellranger count and lineage inference
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![]() Path: definitions/subworkflows/single_cell_rnaseq.cwl Branch/Commit ID: c23dc7f113ca0b0a3127a5d6c696e98d4799460c |
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03-map-pe-blacklist-removal.cwl
ATAC-seq 03 mapping - reads: PE - blacklist removal |
![]() Path: v1.0/ATAC-seq_pipeline/03-map-pe-blacklist-removal.cwl Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134 |
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ChIP-seq peak caller workflow MACS2 based
This workflow execute peak caller and QC for ChIP-seq using MACS2 |
![]() Path: workflows/ChIP-Seq/peak-calling-MACS2.cwl Branch/Commit ID: 0207b0171ab142dfb85db9c39050c5b4be51dd9e |
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haplotypecaller.cwl
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![]() Path: genomel/cwl/workflows/variant_calling/haplotypecaller.cwl Branch/Commit ID: c661469505c606e1353f23c21a6654724a9d8d63 |
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Motif Finding with HOMER with custom background regions
Motif Finding with HOMER with custom 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. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/) |
![]() Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 799575ce58746813f066a665adeacdda252d8cab |