Explore Workflows
View already parsed workflows here or click here to add your own
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step_valuefrom5_wf_with_id_v1_2.cwl
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Path: testdata/step_valuefrom5_wf_with_id_v1_2.cwl Branch/Commit ID: 124a08ce3389eb49066c34a4163cbbed210a0355 |
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Seurat for comparative scRNA-seq analysis of across experimental conditions
Runs Seurat for comparative scRNA-seq analysis of across experimental conditions ================================================================================ |
Path: workflows/seurat-cluster.cwl Branch/Commit ID: 7ced5a5259dbd8b3fc64456beaeffd44f4a24081 |
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optional_src_mandatory_sink.cwl
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Path: tests/wf/optional_src_mandatory_sink.cwl Branch/Commit ID: f94719e862f86cc88600caf3628faba6c0d05042 |
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kmer_cache_retrieve
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Path: task_types/tt_kmer_cache_retrieve.cwl Branch/Commit ID: f5a467a21b8f69aef5666fb7bbf35efd98c0cbea |
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Filter ChIP/ATAC/cut&run/diffbind peaks for Tag Density Profile or Motif Enrichment analyses
Filters ChIP/ATAC/cut&run/diffbind peaks with the neatest genes assigned for Tag Density Profile or Motif Enrichment analyses ============================================================================================================ Tool filters output from any ChIP/ATAC/cut&run/diffbind pipeline to create a file with regions of interest for Tag Density Profile or Motif Enrichment analyses. Peaks with duplicated coordinates are discarded. |
Path: workflows/filter-peaks-for-heatmap.cwl Branch/Commit ID: 30031ca5e69cec603c4733681de54dc7bffa20a3 |
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Filter differentially expressed genes from DESeq for Tag Density Profile Analyses
Filters differentially expressed genes from DESeq for Tag Density Profile Analyses ================================================================================== Tool filters output from DESeq pipeline run for genes to create a file with regions of interest for Tag Density Profile Analyses. |
Path: workflows/filter-deseq-for-heatmap.cwl Branch/Commit ID: 30031ca5e69cec603c4733681de54dc7bffa20a3 |
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Single-Cell Multiome ATAC-Seq and RNA-Seq Filtering Analysis
Single-Cell Multiome ATAC-Seq and RNA-Seq Filtering Analysis Removes low-quality cells from the outputs of the “Cell Ranger Count (RNA+ATAC)” and “Cell Ranger Aggregate (RNA+ATAC)” pipelines. The results of this workflow are used in the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” and “Single-Cell ATAC-Seq Dimensionality Reduction Analysis” pipelines. |
Path: workflows/sc-multiome-filter.cwl Branch/Commit ID: 30031ca5e69cec603c4733681de54dc7bffa20a3 |
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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: 6e68bda2cb45e8dc8e4d067c4220d65acfa53065 |
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readgroup_fastq_pe.cwl
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Path: workflows/bamfastq_align/readgroup_fastq_pe.cwl Branch/Commit ID: 20a901f44c9fb0e6f4ee3c40ec33fa4b1c8ef005 |
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step-valuefrom-wf.cwl
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Path: cwltool/schemas/v1.0/v1.0/step-valuefrom-wf.cwl Branch/Commit ID: ec2cf2da6c31ffedf827a0fb213b5204e172f510 |
