Explore Workflows
View already parsed workflows here or click here to add your own
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count-lines11-extra-step-wf-noET.cwl
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Path: tests/count-lines11-extra-step-wf-noET.cwl Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3 |
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scatter-wf3.cwl#main
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Path: cwltool/schemas/v1.0/v1.0/scatter-wf3.cwl Branch/Commit ID: 0e98de8f692bb7b9626ed44af835051750ac20cd Packed ID: main |
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genomics-workspace-cds.cwl
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Path: flow_genomicsWorkspace/genomics-workspace-cds.cwl Branch/Commit ID: 8b8c6dd16e06b43fbb50f1c0821856a31f1bbbc5 |
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Single-cell Differential Abundance Analysis
Single-cell Differential Abundance Analysis Detects cell subpopulations with differential abundance between datasets split by biological condition. |
Path: workflows/sc-rna-da-cells.cwl Branch/Commit ID: 36fd18f11e939d3908b1eca8d2939402f7a99b0f |
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Alignment without BQSR
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Path: definitions/subworkflows/sequence_to_bqsr_mouse.cwl Branch/Commit ID: 0c4f4e59c265eb22aed3d2d37b173cb5430773d2 |
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1st-workflow.cwl
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Path: tests/wf/1st-workflow.cwl Branch/Commit ID: bffea7fd5e864c5221c13a815d00d0a2fad178cc |
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count-lines13-wf.cwl
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Path: cwltool/schemas/v1.0/v1.0/count-lines13-wf.cwl Branch/Commit ID: e6c2d955a448225f026a04130443d13661844440 |
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Cell Ranger Build Reference Indices
Cell Ranger Build Reference Indices |
Path: workflows/cellranger-mkref.cwl Branch/Commit ID: 36fd18f11e939d3908b1eca8d2939402f7a99b0f |
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Single-cell Label Integration Analysis
Single-cell Label Integration Analysis Harmonizes conflicting annotations in single-cell genomics studies. |
Path: workflows/sc-triangulate.cwl Branch/Commit ID: 36fd18f11e939d3908b1eca8d2939402f7a99b0f |
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RNA-Seq pipeline paired-end strand specific
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-dutp.cwl Branch/Commit ID: 5561f7ee11dd74848680351411a19aa87b13d27b |
