Explore Workflows
View already parsed workflows here or click here to add your own
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LBA_target.cwl
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Path: workflows/LBA_target.cwl Branch/Commit ID: master |
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find_hotspots_in_normals.cwl
Workflow to find hotspot VAFs from duplex (for Tumor sample) and unfiltered (for Normal sample) pileups. These inputs are all required to be sorted in the same order: sample_ids patient_ids sample_classes unfiltered_pileups duplex_pileups |
Path: workflows/subworkflows/find_hotspots_in_normals.cwl Branch/Commit ID: master |
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qiime2 identify differentially abundant features
Differential abundance testing with ANCOM from https://docs.qiime2.org/2018.4/tutorials/moving-pictures/ |
Path: packed/qiime2-step2-deblur.cwl Branch/Commit ID: qiime2-workflow-paired Packed ID: qiime2-09-ancom.cwl |
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ST520110.cwl
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Path: ST520110.cwl Branch/Commit ID: main |
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cmsearch-multimodel.cwl
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Path: workflows/cmsearch-multimodel.cwl Branch/Commit ID: 71d9c83 |
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module-1
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Path: setup/cwl/module-1.cwl Branch/Commit ID: 2.4.x |
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fp_filter workflow
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Path: subworkflows/fp_filter.cwl Branch/Commit ID: master |
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fasta2taxa-plot
Input is a fasta file with n>1 samples, with sample id as sequence identifier prefix, and a sample id file. The workflow calls open otus and assigns taxa using greengenes. The output are taxa plots. |
Path: CWL/Workflows/qiime/cluster2plot.cwl Branch/Commit ID: master |
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module-2.cwl
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Path: workflows/module-2.cwl Branch/Commit ID: master |
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umi molecular alignment fastq workflow
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Path: definitions/pipelines/umi_molecular_alignment.cwl Branch/Commit ID: No_filters_detect_variants |
