Explore Workflows

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

Graph Name Retrieved From View
workflow graph wgs alignment and germline variant detection

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

Path: definitions/pipelines/germline_wgs_gvcf.cwl

Branch/Commit ID: b8000c793d6e7ce4d690406c4f914c5c62acd51f
workflow graph RNA-Seq alignment and transcript/gene abundance workflow

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

Path: definitions/pipelines/rnaseq.cwl

Branch/Commit ID: 4bc0a4577d626b65a4b44683e5a1ab2f7d7faf4c
workflow graph gathered exome alignment and somatic variant detection

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

Path: definitions/pipelines/gathered_somatic_exome.cwl

Branch/Commit ID: 4bc0a4577d626b65a4b44683e5a1ab2f7d7faf4c
workflow graph search.cwl#main

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

Path: tests/search.cwl

Branch/Commit ID: 0e37d46e793e72b7c16b5ec03e22cb3ce1f55ba3

Packed ID: main
workflow graph wgs alignment and germline variant detection

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

Path: definitions/pipelines/germline_wgs.cwl

Branch/Commit ID: 77ec4f26eb14ed82481828bd9f6ef659cfd8b40f
workflow graph Find reads with predicted coding sequences above 60 AA in length

https://github.com/proteinswebteam/ebi-metagenomics-cwl.git

Path: workflows/orf_prediction.cwl

Branch/Commit ID: 71d9c83761ea301a895dd669902979ef5a4b279b
workflow graph qiime2 identify differentially abundant features

Differential abundance testing with ANCOM from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

 https://github.com/duke-gcb/bespin-cwl.git

Path: packed/qiime2-step2-dada2.cwl

Branch/Commit ID: 68c92437c854a200433ee684067f81f13de5d8eb

Packed ID: qiime2-09-ancom.cwl
workflow graph Functional analyis of sequences that match the 16S SSU

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/16S_taxonomic_analysis.cwl

Branch/Commit ID: cff6ca51706f18b1c7052d801d05414f489cec58
workflow graph EMG QC workflow, (paired end version). Benchmarking with MG-RAST expt.

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/emg-qc-paired.cwl

Branch/Commit ID: 3f85843d4a6debdabe96bc800bf2a4efdcda1ef3
workflow graph Trim Galore SMARTer RNA-Seq pipeline paired-end strand specific

https://chipster.csc.fi/manual/library-type-summary.html Modified original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **pair-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 files 2. Use STAR to align reads from input FASTQ files according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ files and generate quality statistics files 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 files 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-pe-smarter-dutp.cwl

Branch/Commit ID: 2005c6b7f1bff6247d015ff6c116bd9ec97158bb