Explore Workflows
View already parsed workflows here or click here to add your own
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Single-cell Multiome ATAC and RNA-Seq Alignment
Single-cell Multiome ATAC and RNA-Seq Alignment Runs Cell Ranger ARC Count to quantifies chromatin accessibility and gene expression from a single-cell Multiome ATAC and RNA-Seq library |
Path: workflows/sc-multiome-align-wf.cwl Branch/Commit ID: 7bbe737324bb6f21f244dea09a926dc2774ed731 |
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Single-cell RNA-Seq Aggregate
Single-cell RNA-Seq Aggregate Aggregates gene expression data from multiple Single-cell RNA-Seq Alignment experiments. |
Path: workflows/sc-rna-aggregate-wf.cwl Branch/Commit ID: 7bbe737324bb6f21f244dea09a926dc2774ed731 |
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Single-cell Multiome ATAC and RNA-Seq Aggregate
Single-cell Multiome ATAC and RNA-Seq Aggregate Aggregates data from multiple Single-cell Multiome ATAC and RNA-Seq Alignment experiments |
Path: workflows/sc-multiome-aggregate-wf.cwl Branch/Commit ID: 7bbe737324bb6f21f244dea09a926dc2774ed731 |
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Single-cell Reference Indices
Single-cell Reference Indices Builds a Cell Ranger and Cell Ranger ARC compatible reference folders from the custom genome FASTA and gene GTF annotation files |
Path: workflows/sc-ref-indices-wf.cwl Branch/Commit ID: 7bbe737324bb6f21f244dea09a926dc2774ed731 |
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directory.cwl
Inspect provided directory and return filenames. Generate a new directory and return it (including content). |
Path: tests/wf/directory.cwl Branch/Commit ID: 4642316a30a95d4f3d135c18f98477886b160094 |
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genomics-workspace-cds.cwl
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Path: flow_genomicsWorkspace/genomics-workspace-cds.cwl Branch/Commit ID: 677d79c721ad5f7a7e09b693d7f3fe2da70826e2 |
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split-bams-by-strand-and-index.cwl
Split reads in a BAM file by strands and index forward and reverse output BAM files |
Path: v1.0/quant/split-bams-by-strand-and-index.cwl Branch/Commit ID: 7696e7eb27a9251fba53ef4ccacc84cc8f8b0685 |
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Cell Ranger Build Reference Indices
Devel version of Cell Ranger Build Reference Indices pipeline ============================================================= |
Path: workflows/cellranger-mkref.cwl Branch/Commit ID: 4a5c59829ff8b9f3c843e66e3c675dcd9c689ed5 |
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VIRTUS.SE.cwl
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Path: workflow/VIRTUS.SE.cwl Branch/Commit ID: 96ccb37e04af37474771526cf0d85d3ded2005f7 |
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Motif Finding with HOMER with target and background regions from peaks
Motif Finding with HOMER with target and background regions from peaks --------------------------------------------------- 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-peak.cwl Branch/Commit ID: 92f1a6da9c4f85fb51340b01b32373a50fde0891 |
