Explore Workflows

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

Graph Name Retrieved From View
workflow graph joint genotyping for trios or small cohorts

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/joint_genotype.cwl

Branch/Commit ID: da335d9963418f7bedd84cb2791a0df1b3165ffe

workflow graph exomeseq-gatk4-03-organizedirectories.cwl

https://github.com/bespin-workflows/exomeseq-gatk4.git

Path: subworkflows/exomeseq-gatk4-03-organizedirectories.cwl

Branch/Commit ID: 5438ab97697f9a9b246719302bedc79f305a98f5

workflow graph Single-Cell RNA-Seq Differential Expression Analysis

Single-Cell RNA-Seq Differential Expression Analysis Identifies differentially expressed genes between any two groups of cells, optionally aggregating gene expression data from single-cell to pseudobulk form.

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

Path: workflows/sc-rna-de-pseudobulk.cwl

Branch/Commit ID: 69643d8c15f5357a320aa7e2f6adb2e71302fd20

workflow graph Trim Galore RNA-Seq pipeline single-read strand specific

Note: should be updated 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-dutp.cwl

Branch/Commit ID: 69643d8c15f5357a320aa7e2f6adb2e71302fd20

workflow graph count-lines7-wf_v1_2.cwl

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

Path: testdata/count-lines7-wf_v1_2.cwl

Branch/Commit ID: 5759b4275906e6cfe13912c8426de2a2237cb4b0

workflow graph tt_univec_wnode.cwl

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

Path: task_types/tt_univec_wnode.cwl

Branch/Commit ID: c28cfb9882dedd3c522160f933cff1050ae24100

workflow graph scatter-valuefrom-wf4.cwl#main

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/scatter-valuefrom-wf4.cwl

Branch/Commit ID: c6cced7a2e6389d2eb43342e702677ccb7c7497c

Packed ID: main

workflow graph count-lines7-single-source-wf_v1_0.cwl

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

Path: testdata/count-lines7-single-source-wf_v1_0.cwl

Branch/Commit ID: 5759b4275906e6cfe13912c8426de2a2237cb4b0

workflow graph Cell Ranger Count (RNA)

Cell Ranger Count (RNA) Quantifies single-cell gene expression of the sequencing data from a single 10x Genomics library. The results of this workflow are primarily used in either “Single-Cell RNA-Seq Filtering Analysis” or “Cell Ranger Aggregate (RNA, RNA+VDJ)” pipelines.

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

Path: workflows/single-cell-preprocess-cellranger.cwl

Branch/Commit ID: 69643d8c15f5357a320aa7e2f6adb2e71302fd20

workflow graph ValidateCameraGainsAndEfficiency

Validate pixel gain and efficiency in absolute and relative units.

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

Path: workflows/ValidateCameraGainsAndEfficiency.cwl

Branch/Commit ID: bf4d4a44a543bcc04f4508ce020751c71550acf5