Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
---|---|---|---|
03-map-pe-blacklist-removal.cwl
ATAC-seq 03 mapping - reads: PE - blacklist removal |
https://github.com/alexbarrera/GGR-cwl.git
Path: v1.0/ATAC-seq_pipeline/03-map-pe-blacklist-removal.cwl Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134 |
||
ChIP-seq peak caller workflow MACS2 based
This workflow execute peak caller and QC for ChIP-seq using MACS2 |
https://github.com/ncbi/cwl-ngs-workflows-cbb.git
Path: workflows/ChIP-Seq/peak-calling-MACS2.cwl Branch/Commit ID: 0207b0171ab142dfb85db9c39050c5b4be51dd9e |
||
haplotypecaller.cwl
|
https://github.com/uc-cdis/genomel_pipelines.git
Path: genomel/cwl/workflows/variant_calling/haplotypecaller.cwl Branch/Commit ID: c661469505c606e1353f23c21a6654724a9d8d63 |
||
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/) |
https://github.com/datirium/workflows.git
Path: workflows/homer-motif-analysis-bg.cwl Branch/Commit ID: 799575ce58746813f066a665adeacdda252d8cab |
||
align_sort_sa
|
https://github.com/ncbi/pgap.git
Path: task_types/tt_align_sort_sa.cwl Branch/Commit ID: 6ac47e5703d8c8cdac698de91143829b3911e9b2 |
||
Varscan Workflow
|
https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/varscan_germline.cwl Branch/Commit ID: 3a287b7cb6162cdea79865235d224fea45963d87 |
||
Build Bismark indices
Copy fasta_file file to the folder and run run bismark_genome_preparation script to prepare indices for Bismark Methylation Analysis. Bowtie2 aligner is used by default. The name of the output indices folder is equal to the genome input. |
https://github.com/datirium/workflows.git
Path: workflows/bismark-index.cwl Branch/Commit ID: 104059e07a2964673e21d371763e33c0afeb2d03 |
||
01-qc-pe.cwl
ATAC-seq 01 QC - reads: PE |
https://github.com/Duke-GCB/GGR-cwl.git
Path: v1.0/ATAC-seq_pipeline/01-qc-pe.cwl Branch/Commit ID: 8aabde14169421a7115c5cd48c4740b3a7bd818f |
||
gcaccess_from_list
|
https://github.com/ncbi/pgap.git
Path: task_types/tt_gcaccess_from_list.cwl Branch/Commit ID: 1b9094d70f620bb2e51072dd2150150aa4927439 |
||
umi molecular alignment fastq workflow
|
https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/alignment_umi_molecular.cwl Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5 |