Explore Workflows

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

Graph Name Retrieved From View
workflow graph Hello World

Outputs a message using echo

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

Path: tests/wf/hello-workflow.cwl

Branch/Commit ID: b82ce7ae901a54c7a062fd5eefd8d5ceb5a4d684
workflow graph allele-rnaseq-se.cwl

Allele specific RNA-Seq single-read workflow

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

Path: workflows/allele-rnaseq-se.cwl

Branch/Commit ID: 62323c137c0ce9b3f843df0dfbda28dafa7c90cf
workflow graph align_sort_sa

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

Path: task_types/tt_align_sort_sa.cwl

Branch/Commit ID: 1b8d71c75156a1a62bf0477d59db26010e2dcc29
workflow graph kmer_gc_extract_wnode

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

Path: task_types/tt_kmer_gc_extract_wnode.cwl

Branch/Commit ID: 550682d2fe3348161eab1b8612e48a59af4ac6a5
workflow graph ST610106.cwl

https://github.com/Marco-Salvi/dtc61.git

Path: ST610106.cwl

Branch/Commit ID: bd1fc93b22ce53d0b705f8c9bb77a5d6f758b476
workflow graph apolloServer-createOrganism-workflow.cwl

https://github.com/NAL-i5K/Organism_Onboarding.git

Path: apolloServer-createOrganism-workflow.cwl

Branch/Commit ID: 096a9feffe292a1aeb329552661d27bb579e084c
workflow graph phase VCF

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

Path: definitions/subworkflows/phase_vcf.cwl

Branch/Commit ID: 5cb188131f786ed33156e2f0e3dd63ab9c04245d
workflow graph tt_kmer_compare_wnode

Pairwise comparison

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

Path: task_types/tt_kmer_compare_wnode.cwl

Branch/Commit ID: 1b8d71c75156a1a62bf0477d59db26010e2dcc29
workflow graph no-inputs-wf.cwl

Workflow without inputs.

 https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/no-inputs-wf.cwl

Branch/Commit ID: 31ec48a8d81ef7c1b2c5e9c0a19e7623efe4a1e2
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: 12e5256de1b680c551c87fd5db6f3bc65428af67