Explore Workflows
View already parsed workflows here or click here to add your own
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igv-report_maf_workflow.cwl
Workflow to run GetBaseCountsMultiSample fillout on a number of samples, each with their own bam and maf files |
Path: cwl/igv-report_maf_workflow.cwl Branch/Commit ID: 7eb2b0a4d37018142233d770595ac2e00376dab4 |
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samples_fillout_index_workflow.cwl
Wrapper to run indexing on all bams before submitting for samples fillout Includes secondary input channels to allow for including .bam files that do not have indexes Also include other extra handling needed for files that might not meet needs for the fillout workflow NOTE: need v1.1 upgrade so we can do it all from a single channel with optional secondary files; https://www.commonwl.org/v1.1/CommandLineTool.html#SecondaryFileSchema |
Path: cwl/samples_fillout_index_workflow.cwl Branch/Commit ID: 342e6f1f4f7a3839e579fbe96ccc8d6f7a61ac77 |
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ROSE: rank ordering of super-enhancers
Super-enhancers, consist of clusters of enhancers that are densely occupied by the master regulators and Mediator. Super-enhancers differ from typical enhancers in size, transcription factor density and content, ability to activate transcription, and sensitivity to perturbation. Use to create stitched enhancers, and to separate super-enhancers from typical enhancers using sequencing data (.bam) given a file of previously identified constituent enhancers (.gff) |
Path: workflows/super-enhancer.cwl Branch/Commit ID: f3e44d3b0f198cf5245c49011124dc3b6c2b06fd |
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example_workflow.cwl
Example CWL workflow that uses some advanced features |
Path: cwl/example_workflow.cwl Branch/Commit ID: 342e6f1f4f7a3839e579fbe96ccc8d6f7a61ac77 |
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FastQC - a quality control tool for high throughput sequence data
FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application |
Path: workflows/fastqc.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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iwdr_with_nested_dirs.cwl
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Path: cwltool/schemas/v1.0/v1.0/iwdr_with_nested_dirs.cwl Branch/Commit ID: 75271e2a0887d47cca4077b60dd51ac763c09b63 |
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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: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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Detect Variants workflow for nonhuman WGS pipeline
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Path: definitions/pipelines/detect_variants_wgs_nonhuman.cwl Branch/Commit ID: 788bdc99c1d5b6ee7c431c3c011eb30d385c1370 |
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bam to trimmed fastqs and HISAT alignments
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Path: definitions/subworkflows/bam_to_trimmed_fastq_and_hisat_alignments.cwl Branch/Commit ID: 0c4f4e59c265eb22aed3d2d37b173cb5430773d2 |
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align_merge_sas
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Path: task_types/tt_align_merge_sas.cwl Branch/Commit ID: 76a9637a06e2102645eae29aff10b6f7185892a5 |
