Explore Workflows
View already parsed workflows here or click here to add your own
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msi.cwl
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![]() Path: workflows/subworkflows/msi.cwl Branch/Commit ID: b0f226a9ac5152f3afe0d38c8cd54aa25b8b01cf |
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mut3.cwl
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![]() Path: tests/wf/mut3.cwl Branch/Commit ID: a3d565bf8e630101d25d31804cfbceb0a0ba28de |
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fastq_foreign_chromosome_cleanup
This workflow remove foreign chromosome contamination by taxonomic groups |
![]() Path: workflows/Contamination/fastq-foreign-chromosome-cleanup_test.cwl Branch/Commit ID: 3247592a89deafaa0d9c5910a1cb1d000ef9b098 |
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WGS and MT analysis for fastq files
rna / protein - qc, preprocess, filter, annotation, index, abundance |
![]() Path: CWL/Workflows/wgs-fastq.workflow.cwl Branch/Commit ID: 1844de830f6935901849ccd9966685fbf13e8042 |
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rnaseq-pe-dutp-mitochondrial.cwl
RNA-Seq strand specific mitochondrial workflow for pair-end experiment based on original BioWardrobe's basic analysis. |
![]() Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl Branch/Commit ID: 4b8bb1a1ec39056253ca8eee976078e51f4a954e |
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02-local-compare-across-alg.cwl
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![]() Path: localData/02-local-compare-across-alg.cwl Branch/Commit ID: 6351764c74a44fc4fa2042d31c0cedde5a5bdbe9 |
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Create Genomic Collection for Bacterial Pipeline
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![]() Path: genomic_source/wf_genomic_source.cwl Branch/Commit ID: ea8c2aea64cab2241e02f4cb60ca9ca7593dfa58 |
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gather AML trio outputs
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![]() Path: definitions/pipelines/aml_trio_cle_gathered.cwl Branch/Commit ID: 457e101e3fb87e7fd792357afce00ed8ccbfbcdb |
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count-lines2-wf.cwl
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![]() Path: cwltool/schemas/v1.0/v1.0/count-lines2-wf.cwl Branch/Commit ID: e9c83739a93fa0b18f8dea2f98b632a9e32725c9 |
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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 |
![]() Path: workflows/rnaseq-se-dutp-mitochondrial.cwl Branch/Commit ID: c5bae2ca862c764911b83d1f15ff6af4e2a0db28 |