Explore Workflows
View already parsed workflows here or click here to add your own
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star-stringtie_wf_pe.cwl
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![]() Path: workflows/star-stringtie/paired_end/star-stringtie_wf_pe.cwl Branch/Commit ID: 4e84905f265e1db212c406d34ae4db2bf565e856 |
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find_hotspots_in_normals.cwl
Workflow to find hotspot VAFs from duplex (for Tumor sample) and unfiltered (for Normal sample) pileups. These inputs are all required to be sorted in the same order: sample_ids patient_ids sample_classes unfiltered_pileups duplex_pileups |
![]() Path: workflows/subworkflows/find_hotspots_in_normals.cwl Branch/Commit ID: b0f226a9ac5152f3afe0d38c8cd54aa25b8b01cf |
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downsample unaligned BAM and align
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![]() Path: definitions/subworkflows/downsampled_alignment.cwl Branch/Commit ID: 1249b5d4e23d57ca5e3b8ad6d8e5f10ddb019f68 |
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pindel parallel workflow
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![]() Path: subworkflows/pindel.cwl Branch/Commit ID: 656d9ae18f164f983c5672bcf51037cd73309f4f |
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count-lines4-wf.cwl
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![]() Path: tests/count-lines4-wf.cwl Branch/Commit ID: b1d4a69df86350059bd49aa127c02be0c349f7de |
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scatter-wf4.cwl#main
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![]() Path: cwltool/schemas/v1.0/v1.0/scatter-wf4.cwl Branch/Commit ID: bfe56f3138e9e6fc0b9b8c06447553d4cea03d59 Packed ID: main |
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scatter-wf4.cwl#main
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![]() Path: cwltool/schemas/v1.0/v1.0/scatter-wf4.cwl Branch/Commit ID: 65aedc5e7e1f3ccace7f9022f8a54b3f0d5c9a8c Packed ID: main |
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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 |
![]() Path: workflows/rnaseq-pe.cwl Branch/Commit ID: 664de58d95728edbf7d369d894f9037ebe2475fa |
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Create target and anti-target files for CNA analysis
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![]() Path: subworkflows/cnvkit_prep_regions.cwl Branch/Commit ID: 656d9ae18f164f983c5672bcf51037cd73309f4f |
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Process cnvkit outputs
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![]() Path: subworkflows/process_cnvkit_results.cwl Branch/Commit ID: 656d9ae18f164f983c5672bcf51037cd73309f4f |