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Graph Name Retrieved From View
workflow graph Motif Finding with HOMER with custom background regions

Motif Finding with HOMER with custom background regions --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/)

 https://github.com/datirium/workflows.git

Path: workflows/homer-motif-analysis-bg.cwl

Branch/Commit ID: aebf2355539fdf81fd9082616f8b21440d2691c6
workflow graph Single-cell RNA-Seq Filtering Analysis

Single-cell RNA-Seq Filtering Analysis Filters single-cell RNA-Seq datasets based on the common QC metrics.

 https://github.com/datirium/workflows.git

Path: workflows/sc-rna-filter.cwl

Branch/Commit ID: aebf2355539fdf81fd9082616f8b21440d2691c6
workflow graph heatmap.cwl

Generates ATDP heatmap centered on TSS from an array of input BAM files and genelist TSV file. Returns array of heatmap JSON files with the names that have the same basenames as input BAM files, but with .json extension

https://github.com/Barski-lab/workflows.git

Path: workflows/heatmap.cwl

Branch/Commit ID: b8e28a017f7b1a2900ec0fd3b3549f123f0c91b4
workflow graph kf_STAR_Solo_10x_alignment_wf.cwl

https://github.com/kids-first/kf-dev-single-cell-rna.git

Path: workflows/kf_STAR_Solo_10x_alignment_wf.cwl

Branch/Commit ID: e51856dda88f31868eb7318c42957a743ce6f982
workflow graph rnaseq-pe-dutp.cwl

RNA-Seq basic analysis workflow for strand specific paired-end experiment.

https://github.com/datirium/workflows.git

Path: workflows/rnaseq-pe-dutp.cwl

Branch/Commit ID: a9551ece898f619167db58e4b74a6cae2d7f7d13
workflow graph scatter-valuefrom-wf2.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/scatter-valuefrom-wf2.cwl

Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3
workflow graph Cell Ranger ARC Count Gene Expression + ATAC

Cell Ranger ARC Count Gene Expression + ATAC ============================================

 https://github.com/datirium/workflows.git

Path: workflows/cellranger-arc-count.cwl

Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f
workflow graph gpas_purecn_tumor_only_filtration.cwl

https://github.com/NCI-GDC/gdc_tosvc_workflow.git

Path: gdc-purecn-tumor-only-filtration-cwl/gpas_purecn_tumor_only_filtration.cwl

Branch/Commit ID: 282546012e0de7a9dda41cf08c1a94f357c1bc2a
workflow graph cond-single-source-wf-005.1.cwl

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/cond-single-source-wf-005.1.cwl

Branch/Commit ID: 77669d4dd1d1ebd2bdd9810f911608146d9b8e51
workflow graph 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

 https://github.com/datirium/workflows.git

Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl

Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f