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Seurat for comparative scRNA-seq analysis of across experimental conditions
Runs Seurat for comparative scRNA-seq analysis of across experimental conditions ================================================================================ |
Path: workflows/seurat-cluster.cwl Branch/Commit ID: a8eaf61c809d76f55780b14f2febeb363cf6373f |
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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 |
Path: workflows/genome-indices.cwl Branch/Commit ID: ddc35c559d1ac6aab4972fe1a2b63300c4373f54 |
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bact_get_kmer_reference
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Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: a2d6cd4c53bf3501f6bd79edebb7ca30bba8456f |
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Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)
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Path: bacterial_annot/wf_bacterial_annot_pass1.cwl Branch/Commit ID: 5463361069e263ad6455858e054c1337b1d9e752 |
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DESeq2 Multi-factor Analysis
DESeq2 Multi-factor Analysis Runs DeSeq2 multi-factor analysis with manual control over major parameters |
Path: workflows/deseq-multi-factor.cwl Branch/Commit ID: 22880e0f41d0420a17d643e8a6e8ee18165bbfbf |
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sec-wf-out.cwl
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Path: tests/wf/sec-wf-out.cwl Branch/Commit ID: d5f7fa162611243f0c66dd3e933c16a4964a09ca |
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Tag enrichment heatmap and density profile around regions of interest
Generates tag density heatmap and histogram for the centered list of features in a headerless regions file. - If provided regions file is a gene list with the following columns `chrom start end name score strand` set `Gene TSS` as a re-centering criteria. - If provided regions file is a peak list with the following columns `chrom start end name` set `Peak Center` as a re-centering criteria. `score` column is always ignored. |
Path: workflows/heatmap.cwl Branch/Commit ID: cc6fa135d04737fdde3b4414d6e214cf8c812f6e |
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Cut-n-Run pipeline paired-end
Experimental pipeline for Cut-n-Run analysis. Uses mapping results from the following experiment types: - `chipseq-pe.cwl` - `trim-chipseq-pe.cwl` - `trim-atacseq-pe.cwl` Note, the upstream analyses should not have duplicates removed |
Path: workflows/trim-chipseq-pe-cut-n-run.cwl Branch/Commit ID: 64f7fe4438898218fd83133efa25251078f5b27e |
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Build STAR indices
Workflow runs [STAR](https://github.com/alexdobin/STAR) v2.5.3a (03/17/2017) PMID: [23104886](https://www.ncbi.nlm.nih.gov/pubmed/23104886) to build indices for reference genome provided in a single FASTA file as fasta_file input and GTF annotation file from annotation_gtf_file input. Generated indices are saved in a folder with the name that corresponds to the input genome. |
Path: workflows/star-index.cwl Branch/Commit ID: 00ea05e22788029370898fd4c17798b11edf0e57 |
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RNA-Seq pipeline paired-end 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 pair-end** 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 the pair-end 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-pe-dutp-mitochondrial.cwl Branch/Commit ID: 282762f8bbaea57dd488115745ef798e128bade1 |
