Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
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Detect Variants workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/detect_variants_nonhuman.cwl Branch/Commit ID: 480c438a6a7e78c624712aec01bc4214d2bc179c |
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RNA-Seq pipeline single-read
The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **single-read** 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-read RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 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) 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.cwl Branch/Commit ID: a8eaf61c809d76f55780b14f2febeb363cf6373f |
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WGS QC workflow nonhuman
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/qc_wgs_nonhuman.cwl Branch/Commit ID: 31a179d7a2f2ac86bfd7fcc4dc79832c3739ae76 |
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wgs alignment and germline variant detection
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https://github.com/genome/analysis-workflows.git
Path: definitions/pipelines/germline_wgs.cwl Branch/Commit ID: c625e05eefb1754353c1bdfa46c01dc61e6233dd |
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CLE gold vcf evaluation workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/vcf_eval_cle_gold.cwl Branch/Commit ID: 31a179d7a2f2ac86bfd7fcc4dc79832c3739ae76 |
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umi duplex alignment workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/duplex_alignment.cwl Branch/Commit ID: e649fcb1092905c539be026a3f23c82d5b0871d2 |
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trim-rnaseq-pe.cwl
Runs RNA-Seq BioWardrobe basic analysis with pair-end data file. |
https://github.com/Barski-lab/workflows.git
Path: workflows/trim-rnaseq-pe.cwl Branch/Commit ID: cf84038de256c7ca98657ad81734d1aca1dad8c1 |
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Non-Coding Bacterial Genes
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https://github.com/ncbi/pgap.git
Path: bacterial_noncoding/wf_bacterial_noncoding.cwl Branch/Commit ID: 1cfd46014be8d867044cb10d1ddde0cb3068ee84 |
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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 |
https://github.com/datirium/workflows.git
Path: workflows/trim-rnaseq-pe-dutp.cwl Branch/Commit ID: d76110e0bfc40c874f82e37cef6451d74df4f908 |
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trim-rnaseq-se.cwl
Runs RNA-Seq BioWardrobe basic analysis with single-end data file. |
https://github.com/Barski-lab/workflows.git
Path: workflows/trim-rnaseq-se.cwl Branch/Commit ID: cf84038de256c7ca98657ad81734d1aca1dad8c1 |
