Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
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Functional analyis of sequences that match the 16S SSU
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https://github.com/proteinswebteam/ebi-metagenomics-cwl.git
Path: workflows/16S_taxonomic_analysis.cwl Branch/Commit ID: 71d9c83 |
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ConcordanceCheckerWorkflow.cwl
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https://github.com/DataBiosphere/topmed-workflows.git
Path: vcf-comparator/ConcordanceCheckerWorkflow.cwl Branch/Commit ID: 1.30.0 |
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exomeseq-02-variantdiscovery.cwl
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https://github.com/Duke-GCB/bespin-cwl.git
Path: subworkflows/exomeseq-02-variantdiscovery.cwl Branch/Commit ID: gatk4-fixes |
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qiime2 demux sequences
Demultiplexing sequences from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/ |
https://github.com/bespin-workflows/16s-qiime2.git
Path: subworkflows/qiime2-02-demux-emp-single.cwl Branch/Commit ID: develop |
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scatter-wf3_v1_2.cwl#main
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https://github.com/common-workflow-language/cwl-utils.git
Path: testdata/scatter-wf3_v1_2.cwl Branch/Commit ID: main Packed ID: main |
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Transcriptome assembly workflow (paired-end version)
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https://github.com/EBI-Metagenomics/workflow-is-cwl.git
Path: workflows/TranscriptomeAssembly-wf.paired-end.cwl Branch/Commit ID: master |
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CroMaSt.cwl
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https://gitlab.inria.fr/capsid.public_codes/CroMaSt.git
Path: CroMaSt.cwl Branch/Commit ID: main |
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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 |
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count-lines3-wf.cwl
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https://github.com/common-workflow-language/cwl-v1.2.git
Path: tests/count-lines3-wf.cwl Branch/Commit ID: main |
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Identifies non-coding RNAs using Rfams covariance models
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https://github.com/mscheremetjew/workflow-is-cwl.git
Path: workflows/cmsearch-multimodel-wf.cwl Branch/Commit ID: assembly |
