Explore Workflows

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

Graph Name Retrieved From View
workflow graph qiime2 create feature visual summaries

FeatureTable and FeatureData summaries from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/

 https://github.com/Duke-GCB/bespin-cwl.git

Path: packed/qiime2-step2-deblur.cwl

Branch/Commit ID: qiime2-workflow

Packed ID: qiime2-04-features.cwl
workflow graph STAR-Alignment-PE-circRNA

This workflow aligns the fastq files using STAR for paired-end samples to be used in circRNA pipeline

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

Path: workflows/Alignments/star-alignment-circRNA.cwl

Branch/Commit ID: master
workflow graph birds.cwl

https://github.com/EOSC-LOFAR/presto-cwl.git

Path: birds.cwl

Branch/Commit ID: master
workflow graph workflow_mc.cwl

https://github.com/lukasheinrich/cwltests.git

Path: cwl/workflow_mc.cwl

Branch/Commit ID: master
workflow graph compile1.cwl#main

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

Path: workflows/compile/compile1.cwl

Branch/Commit ID: master

Packed ID: main
workflow graph macro-cwl

Main stage manager

 https://github.com/fabricebrito/fgb.git

Path: wrapped.cwl

Branch/Commit ID: main

Packed ID: main
workflow graph A workflow that aligns a fasta file and provides statistics on the SAM file

A workflow that aligns a fasta file and provides statistics on the SAM file

 https://github.com/svonworl/multi-step-cwl.git

Path: version_1_2/sub_workflow_align_and_metrics.cwl

Branch/Commit ID: develop
workflow graph PCA - Principal Component Analysis

Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy.

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

Path: workflows/pca.cwl

Branch/Commit ID: master
workflow graph post-proccessing-go-pfam-stats-subwf.cwl

https://github.com/kinow/pipeline-v5.git

Path: workflows/subworkflows/functional-annotation/post-proccessing-go-pfam-stats-subwf.cwl

Branch/Commit ID: eosc-life-gos
workflow graph WES GATK4

Whole Exome Sequence analysis GATK4 Preprocessing

https://github.com/Duke-GCB/bespin-cwl.git

Path: workflows/exomeseq-gatk4.cwl

Branch/Commit ID: master