Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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SoupX (workflow) - an R package for the estimation and removal of cell free mRNA contamination
Wrapped in a workflow SoupX tool for easy access to Cell Ranger pipeline compressed outputs. |
https://github.com/datirium/workflows.git
Path: tools/soupx-subworkflow.cwl Branch/Commit ID: a409db2289b86779897ff19003bd351701a81c50 |
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Trim Galore 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-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 file 2. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 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 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/trim-rnaseq-se.cwl Branch/Commit ID: 17a4a68b20e0af656e09714c1f39fe761b518686 |
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EMG pipeline v4.0 (single end version)
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https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git
Path: workflows/emg-pipeline-v4-single.cwl Branch/Commit ID: ecf044f3a5a7589cb2238487a19f22863c2bcdb1 |
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Unaligned BAM to BQSR and VCF
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https://github.com/markrobbo/workflows.git
Path: workflows/hello/exome_alignment_packed.cwl Branch/Commit ID: 0ae2468ab2ba0b9a196c2aa89b580555750bf0f6 Packed ID: workflow.cwl_2 |
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Pairwise genomic regions intersection
Pairwise genomic regions intersection ============================================= Overlaps peaks from two ChIP/ATAC experiments |
https://github.com/datirium/workflows.git
Path: workflows/peak-intersect.cwl Branch/Commit ID: b1a5dabeeeb9079b30b2871edd9c9034a1e00c1c |
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EMG pipeline v3.0 (paired end version)
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https://github.com/proteinswebteam/ebi-metagenomics-cwl.git
Path: workflows/emg-pipeline-v3-paired.cwl Branch/Commit ID: 7bb76f33bf40b5cd2604001cac46f967a209c47f |
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DiffBind - Differential Binding Analysis of ChIP-Seq Peak Data
Differential Binding Analysis of ChIP-Seq Peak Data --------------------------------------------------- DiffBind processes ChIP-Seq data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4. |
https://github.com/datirium/workflows.git
Path: workflows/diffbind.cwl Branch/Commit ID: 09267e79fd867aa68a219c69e6db7d8e2e877be2 |
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SoupX - an R package for the estimation and removal of cell free mRNA contamination
Devel version of Single-Cell Advanced Cell Ranger Pipeline (SoupX) ================================================================= |
https://github.com/datirium/workflows.git
Path: workflows/soupx.cwl Branch/Commit ID: 09267e79fd867aa68a219c69e6db7d8e2e877be2 |
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Generate genome indices for STAR & bowtie
Creates indices for: * [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) * [bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) It performs the following steps: 1. `STAR --runMode genomeGenerate` to generate indices, based on [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) and [GTF](http://mblab.wustl.edu/GTF2.html) input files, returns results as an array of files 2. Outputs indices as [Direcotry](http://www.commonwl.org/v1.0/CommandLineTool.html#Directory) data type 3. Separates *chrNameLength.txt* file from Directory output 4. `bowtie-build` to generate indices requires genome [FASTA](http://zhanglab.ccmb.med.umich.edu/FASTA/) file as input, returns results as a group of main and secondary files |
https://github.com/datirium/workflows.git
Path: workflows/genome-indices.cwl Branch/Commit ID: c9e7f3de7f6ba38ee663bd3f9649e8d7dbac0c86 |
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EMG assembly for paired end Illumina
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https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git
Path: workflows/emg-assembly.cwl Branch/Commit ID: fa86fce570ab91c624272c8ffda672069d2f276d |