Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph align_merge_sas

https://github.com/ncbi/pgap.git

Path: task_types/tt_align_merge_sas.cwl

Branch/Commit ID: 16d1198871195e2229fd44dd0ad94a4ed6a87caf
workflow graph Single-cell RNA-Seq Alignment

Single-cell RNA-Seq Alignment Runs Cell Ranger Count to quantify gene expression from a single-cell RNA-Seq library.

 https://github.com/Barski-lab/sc-seq-analysis.git

Path: workflows/sc-rna-align-wf.cwl

Branch/Commit ID: 8614e5d20f5e81dce537216bd340cdbc1067bbc7
workflow graph allele-process-reference.cwl

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

Path: subworkflows/allele-process-reference.cwl

Branch/Commit ID: 915ea871cc28f7b666a4d7b476fdaa7b454ce7c3
workflow graph allele-process-strain.cwl

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

Path: subworkflows/allele-process-strain.cwl

Branch/Commit ID: 4106b7dc96e968db291b7a61ecd1641aa3b3dd6d
workflow graph AltAnalyze Prepare Genome

Devel version of AltAnalyze Prepare Genome ========================================== hg38 is not supported. Use hardcoded EnsMart72 until AltAnalyze starts support more recent Ensembl releases.

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

Path: workflows/altanalyze-prepare-genome.cwl

Branch/Commit ID: a1f6ca50fcb0881781b3ba0306dd61ebf555eaba
workflow graph wf.cwl#QualityFilterOuter.cwl

https://github.com/aheinzel/tmp_rhapsody_for_cwl_vis.git

Path: wf.cwl

Branch/Commit ID: c8d75785fd6accf3b47d1f9ee056675611e22e61

Packed ID: QualityFilterOuter.cwl
workflow graph io-int-optional-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/io-int-optional-wf.cwl

Branch/Commit ID: 0e37d46e793e72b7c16b5ec03e22cb3ce1f55ba3
workflow graph wf-loadContents.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/wf-loadContents.cwl

Branch/Commit ID: 0e37d46e793e72b7c16b5ec03e22cb3ce1f55ba3
workflow graph count-lines4-wf.cwl

https://github.com/common-workflow-language/cwl-v1.1.git

Path: tests/count-lines4-wf.cwl

Branch/Commit ID: 0e37d46e793e72b7c16b5ec03e22cb3ce1f55ba3
workflow graph RNA-Seq pipeline single-read 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 single-read** 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 single-read 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-se-dutp-mitochondrial.cwl

Branch/Commit ID: a1f6ca50fcb0881781b3ba0306dd61ebf555eaba