Explore Workflows
View already parsed workflows here or click here to add your own
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Running cellranger count and lineage inference
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Path: definitions/subworkflows/single_cell_rnaseq.cwl Branch/Commit ID: 6f9f8a2057c6a9f221a44559f671e87a75c70075 |
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Build Bowtie indices
Workflow runs [Bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) to build indices for reference genome provided in a single FASTA file as fasta_file input. Generated indices are saved in a folder with the name that corresponds to the input genome |
Path: workflows/bowtie-index.cwl Branch/Commit ID: 730b40bc403263b724399a952c0f3e2d28f13519 |
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step-valuefrom5-wf.cwl
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Path: tests/step-valuefrom5-wf.cwl Branch/Commit ID: ea9f8634e41824ac3f81c3dde698d5f0eef54f1b |
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cram_to_bam workflow
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Path: definitions/subworkflows/cram_to_bam_and_index.cwl Branch/Commit ID: c711498c04d6b8ddf92ddceb6219f074765f7993 |
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Trim Galore RNA-Seq pipeline paired-end strand specific
Modified original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 4. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
Path: workflows/trim-rnaseq-pe-dutp.cwl Branch/Commit ID: e99e80a2c19682d59947bde04a892d7b6d90091c |
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directory.cwl
Inspect provided directory and return filenames. Generate a new directory and return it (including content). |
Path: tests/wf/directory.cwl Branch/Commit ID: d6000d32f6c8fbd26421a2d30d79b28901d58fb0 |
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Super-enhancer post ChIP-Seq analysis
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: 4a80f5b8f86c83af39494ecc309b789aeda77964 |
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filter-pcr-artifacts.cwl
DNase-seq - map - Filter PCR Artifacts |
Path: v1.0/map/filter-pcr-artifacts.cwl Branch/Commit ID: 33385c6a820a9d4d18cff6fc3a533ec8e3c11c6e |
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exome alignment and somatic variant detection
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Path: definitions/pipelines/somatic_exome_mouse.cwl Branch/Commit ID: 3f3b186da9bf82a5e2ae74ba27aef35a46174ebe |
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env-wf2.cwl
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Path: cwltool/schemas/v1.0/v1.0/env-wf2.cwl Branch/Commit ID: 75271e2a0887d47cca4077b60dd51ac763c09b63 |
