Explore Workflows

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

Graph Name Retrieved From View
workflow graph wgs alignment and tumor-only variant detection

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

Path: definitions/pipelines/tumor_only_wgs.cwl

Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5
workflow graph FASTQ Vector Removal

This workflow clean up vectros from fastq files

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/File-formats/remove-fastq-reads-from-blast.cwl

Branch/Commit ID: 92c23571bd5925c3d33678bc944a8546597cf3a3
workflow graph FASTQ Vector Removal

This workflow convert fastq to multiple fasta files

 https://github.com/ncbi/cwl-ngs-workflows-cbb.git

Path: workflows/File-formats/fastq-to-splitted-fasta.cwl

Branch/Commit ID: 92c23571bd5925c3d33678bc944a8546597cf3a3
workflow graph Single-Cell Preprocessing Pipeline

Devel version of Single-Cell Preprocessing Pipeline ===================================================

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

Path: workflows/single-cell-preprocess.cwl

Branch/Commit ID: 1a46cb0e8f973481fe5ae3ae6188a41622c8532e
workflow graph transform_pack.cwl#main

https://github.com/NCI-GDC/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/transform_pack.cwl

Branch/Commit ID: 3cb464a3a5c39cc060cd23d9c60918bc9ffb169b

Packed ID: main
workflow graph kmer_cache_retrieve

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

Path: task_types/tt_kmer_cache_retrieve.cwl

Branch/Commit ID: 4e2a295bb6c8b4982402ee80538a0cdb8ee6b6dd
workflow graph exome alignment and germline variant detection, with optitype for HLA typing

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

Path: definitions/pipelines/germline_exome_hla_typing.cwl

Branch/Commit ID: 061d3a2fbcd8a1c39c0b38c549e528deb24a9d54
workflow graph Create Genomic Collection for Bacterial Pipeline, ASN.1 input

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

Path: genomic_source/wf_genomic_source_asn.cwl

Branch/Commit ID: b38b0070edf910984f29a4a495b5dfa525b8b305
workflow graph FastQC - a quality control tool for high throughput sequence data

FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application

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

Path: workflows/fastqc.cwl

Branch/Commit ID: 1a46cb0e8f973481fe5ae3ae6188a41622c8532e
workflow graph Detect Variants workflow

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

Path: definitions/pipelines/detect_variants.cwl

Branch/Commit ID: 193b8de694f262ad55c7635a603c20c124748583