Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
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hmmsearch_wnode and gpx_qdump combined workflow to apply scatter/gather
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https://github.com/ncbi/pgap.git
Path: task_types/tt_hmmsearch_wnode_plus_qdump.cwl Branch/Commit ID: f58bb8121e49a72cf7419a4a38c08f01b931dd37 |
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Varscan Workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/varscan_pre_and_post_processing.cwl Branch/Commit ID: 72e0bdc1ec449d86df4534132e9a30ad7e9b8afd |
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Detect DoCM variants
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/docm_germline.cwl Branch/Commit ID: 72c4c3115956340f35e72cda1fd46ec276f1ca03 |
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Bacterial Annotation, pass 1, genemark training, by HMMs (first pass)
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https://github.com/ncbi/pgap.git
Path: bacterial_annot/wf_bacterial_annot_pass1.cwl Branch/Commit ID: 2c7879b47890b9300ab9b5ebd35e17372e077757 |
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Exome QC workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/qc_exome.cwl Branch/Commit ID: 0798b3933ae3e6486596294984c7ffee50b94ef5 |
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protein_extract
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https://github.com/ncbi/pgap.git
Path: progs/protein_extract.cwl Branch/Commit ID: 2c7879b47890b9300ab9b5ebd35e17372e077757 |
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Align reference proteins plane complete workflow
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https://github.com/ncbi/pgap.git
Path: protein_alignment/wf_protein_alignment.cwl Branch/Commit ID: 83ef15482f405bc3d24f88cbf405ceffea9b3023 |
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Exome QC workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/qc_exome.cwl Branch/Commit ID: 5c49c5a53259d4c88a02750f1a16a3c02d711115 |
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Bacterial Annotation, pass 2, blastp-based functional annotation (first pass)
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https://github.com/ncbi/pgap.git
Path: bacterial_annot/wf_bacterial_annot_pass2.cwl Branch/Commit ID: 83ef15482f405bc3d24f88cbf405ceffea9b3023 |
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Bacterial Annotation, pass 3, structural annotation, functional annotation: ab initio GeneMark, by WP, by HMM (second pass)
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https://github.com/ncbi/pgap.git
Path: bacterial_annot/wf_bacterial_annot_pass3.cwl Branch/Commit ID: 83ef15482f405bc3d24f88cbf405ceffea9b3023 |
