Explore Workflows
View already parsed workflows here or click here to add your own
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Genomic regions intersection and visualization
Genomic regions intersection and visualization ============================================== 1. Merges intervals within each of the filtered peaks files from ChIP/ATAC experiments 2. Overlaps merged intervals and assigns the nearest genes to them |
Path: workflows/intervene.cwl Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908 |
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count-lines7-wf.cwl
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Path: tests/count-lines7-wf.cwl Branch/Commit ID: 3e90671b25f7840ef2926ad2bacbf447772dda94 |
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trim-chipseq-pe.cwl
Runs ChIP-Seq BioWardrobe basic analysis with paired-end input data files. |
Path: workflows/trim-chipseq-pe.cwl Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a |
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Single-Cell WNN Cluster Analysis
Single-Cell WNN Cluster Analysis Clusters cells by similarity on the basis of both gene expression and chromatin accessibility data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” and “Single-Cell ATAC-Seq Dimensionality Reduction Analysis” pipelines run sequentially. The results of this workflow are used in the “Single-Cell Manual Cell Type Assignment”, “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, “Single-Cell Differential Abundance Analysis”, “Single-Cell ATAC-Seq Differential Accessibility Analysis”, and “Single-Cell ATAC-Seq Genome Coverage” pipelines. |
Path: workflows/sc-wnn-cluster.cwl Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908 |
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trim-rnaseq-pe-dutp.cwl
Runs RNA-Seq BioWardrobe basic analysis with strand specific pair-end data file. |
Path: workflows/trim-rnaseq-pe-dutp.cwl Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a |
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cond-wf-006.cwl
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Path: tests/conditionals/cond-wf-006.cwl Branch/Commit ID: a5073143db4155e05df8d2e7eb59d9e62acd65a5 |
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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. |
Path: workflows/bismark-index.cwl Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908 |
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advanced-header.cwl
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Path: metadata/advanced-header.cwl Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908 |
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rnaseq-pe-dutp.cwl
Runs RNA-Seq BioWardrobe basic analysis with strand specific pair-end data file. |
Path: workflows/rnaseq-pe-dutp.cwl Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a |
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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: d76110e0bfc40c874f82e37cef6451d74df4f908 |
