Explore Workflows
View already parsed workflows here or click here to add your own
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SetMirrorPanelAlignment
Derive mirror panel alignment parameters from measurements of the optical point-spread functions. |
Path: workflows/SetMirrorPanelAlignment.cwl Branch/Commit ID: 789752af87eb190387ff2acb4c95c7a5cdb961e7 |
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count-lines7-single-source-wf_v1_2.cwl
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Path: testdata/count-lines7-single-source-wf_v1_2.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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bam-bedgraph-bigwig.cwl
Workflow converts input BAM file into bigWig and bedGraph files. Input BAM file should be sorted by coordinates (required by `bam_to_bedgraph` step). If `split` input is not provided use true by default. Default logic is implemented in `valueFrom` field of `split` input inside `bam_to_bedgraph` step to avoid possible bug in cwltool with setting default values for workflow inputs. `scale` has higher priority over the `mapped_reads_number`. The last one is used to calculate `-scale` parameter for `bedtools genomecov` (step `bam_to_bedgraph`) only in a case when input `scale` is not provided. All logic is implemented inside `bedtools-genomecov.cwl`. `bigwig_filename` defines the output name only for generated bigWig file. `bedgraph_filename` defines the output name for generated bedGraph file and can influence on generated bigWig filename in case when `bigwig_filename` is not provided. All workflow inputs and outputs don't have `format` field to avoid format incompatibility errors when workflow is used as subworkflow. |
Path: tools/bam-bedgraph-bigwig.cwl Branch/Commit ID: f3e44d3b0f198cf5245c49011124dc3b6c2b06fd |
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checkm_wnode
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Path: task_types/tt_checkm_wnode.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
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kmer_build_tree
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Path: task_types/tt_kmer_build_tree.cwl Branch/Commit ID: 68058b108cb5b0b72ebe244c42eefa2747e1d64a |
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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: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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step_valuefrom5_wf_v1_1.cwl
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Path: testdata/step_valuefrom5_wf_v1_1.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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step-valuefrom3-wf_v1_0.cwl
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Path: testdata/step-valuefrom3-wf_v1_0.cwl Branch/Commit ID: b76b039edb62dea76c43f173848cdc57e4b4aab7 |
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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: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data
### QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data |
Path: workflows/trim-quantseq-mrnaseq-se-strand-specific.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
