Explore Workflows
View already parsed workflows here or click here to add your own
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Single-cell RNA-Seq Cluster Analysis
Single-cell RNA-Seq Cluster Analysis Clusters single-cell RNA-Seq datasets, identifies gene markers. |
Path: workflows/sc-rna-cluster.cwl Branch/Commit ID: 36fd18f11e939d3908b1eca8d2939402f7a99b0f |
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Motif Finding with HOMER from FASTA files
Motif Finding with HOMER from FASTA files --------------------------------------------------- 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.cwl Branch/Commit ID: ee66d03be8a7fd61367db40c37a973ff55ece4da |
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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: 801f7b363e0599b9a28ecda696dfdb1c0e40ce71 |
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Varscan Workflow
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Path: definitions/subworkflows/varscan_pre_and_post_processing.cwl Branch/Commit ID: c6bbd4cdd612b3b5cc6e9000df4800c21e192bf5 |
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indexing_bed
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Path: structuralvariants/subworkflows/indexing_bed.cwl Branch/Commit ID: 548778e1733b1cac01ed2ec3d25a14bc484f3cbd |
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hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather
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Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl Branch/Commit ID: 1b8d71c75156a1a62bf0477d59db26010e2dcc29 |
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Single-Cell RNA-Seq Cluster Analysis
Single-Cell RNA-Seq Cluster Analysis Clusters cells by similarity of gene expression data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” pipeline. 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”, and “Single-Cell Differential Abundance Analysis” pipelines. |
Path: workflows/sc-rna-cluster.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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gather AML trio outputs
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Path: definitions/pipelines/aml_trio_cle_gathered.cwl Branch/Commit ID: 8da2b1cd6fa379b2c22baf9dad762d39630e6f46 |
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kmer_cache_retrieve
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Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: cd97086739ae5988bab09b05e9259675c4b6bce6 |
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RNA-seq alelle specific pipeline for paired-end data
Allele specific RNA-Seq paired-end workflow |
Path: workflows/allele-rnaseq-pe.cwl Branch/Commit ID: bfa3843bcf36125ff258d6314f64b41336f06e6b |
