Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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Generate ATDP heatmap using Homer
Generate ATDP heatmap centered on TSS from an array of input BAM files and genelist TSV file. Returns array of heatmap JSON files with the names that have the same basenames as input BAM files, but with .json extension |
https://github.com/datirium/workflows.git
Path: workflows/heatmap.cwl Branch/Commit ID: d6ec0dee61ef65a110e10141bde1a79332a64ab0 |
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811.cwl
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https://github.com/common-workflow-language/cwltool.git
Path: tests/wf/811.cwl Branch/Commit ID: 1441c285e8a5afe399f5d52ca9059cb8bb513edb |
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RNA-Seq pipeline single-read stranded mitochondrial
Slightly changed original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific single-read** experiment. An additional steps were added to map data to mitochondrial chromosome only and then merge the output. Experiment files in [FASTQ](http://maq.sourceforge.net/fastq.shtml) format either compressed or not can be used. Current workflow should be used only with single-read strand specific RNA-Seq data. It performs the following steps: 1. `STAR` to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. `fastx_quality_stats` to analyze input FASTQ file and generate quality statistics file 3. `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 file 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 |
https://github.com/datirium/workflows.git
Path: workflows/rnaseq-se-dutp-mitochondrial.cwl Branch/Commit ID: c602e3cdd72ff904dd54d46ba2b5146eb1c57022 |
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03-map-pe.cwl
ChIP-seq 03 mapping - reads: PE |
https://github.com/Duke-GCB/GGR-cwl.git
Path: v1.0/ChIP-seq_pipeline/03-map-pe.cwl Branch/Commit ID: 6da8cef69f3a585fc3e2f4f2f730d361cbe2e978 |
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analysis for assembled sequences
rna / protein - qc, annotation, index, abundance |
https://github.com/MG-RAST/pipeline.git
Path: CWL/Workflows/assembled.workflow.cwl Branch/Commit ID: 4e4d2e674bde612f98f2b0370445f8b2a47587df |
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Trim Galore RNA-Seq pipeline paired-end
The 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 |
https://github.com/datirium/workflows.git
Path: workflows/trim-rnaseq-pe.cwl Branch/Commit ID: 799575ce58746813f066a665adeacdda252d8cab |
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cache_test_workflow.cwl
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https://github.com/common-workflow-language/cwltool.git
Path: tests/wf/cache_test_workflow.cwl Branch/Commit ID: 0e8110083bad6ea98fc487aa262953a6c5e010b5 |
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RNA-Seq pipeline paired-end
The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **paired-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 paired-end RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 3. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 4. Generate BigWig file on the base of sorted BAM file 5. Map input FASTQ files to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 6. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
https://github.com/datirium/workflows.git
Path: workflows/rnaseq-pe.cwl Branch/Commit ID: 6bf56698c6fe6e781723dea32bc922b91ef49cf3 |
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scatter-valuefrom-wf5.cwl
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https://github.com/common-workflow-language/cwltool.git
Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf5.cwl Branch/Commit ID: f997d13af87216e9b5048c732a511053c7ba714c |
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count-lines5-wf.cwl
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https://github.com/common-workflow-language/cwl-v1.1.git
Path: tests/count-lines5-wf.cwl Branch/Commit ID: 50251ef931d108c09bed2d330d3d4fe9c562b1c3 |