Explore Workflows
View already parsed workflows here or click here to add your own
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Single-Cell RNA-Seq Trajectory Analysis
Single-Cell RNA-Seq Trajectory Analysis Infers developmental trajectories and pseudotime from cells clustered by similarity of gene expression data. |
Path: workflows/sc-rna-trajectory.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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LBA_calibrator.cwl
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Path: workflows/LBA_calibrator.cwl Branch/Commit ID: efd84bf3c56117c6a05852b3b47aaf4ad8de11bd |
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Identifies non-coding RNAs using Rfams covariance models
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Path: workflows/subworkflows/assembly/cmsearch-multimodel-assembly.cwl Branch/Commit ID: 6ec8d032feb120eb0eebf9a0c01d48deabf42eea |
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ST520113.cwl
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Path: ST520113.cwl Branch/Commit ID: 272db37d2b8108a146769f0fb0383bb824c9788f |
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WF5201.cwl
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Path: WF5201.cwl Branch/Commit ID: 272db37d2b8108a146769f0fb0383bb824c9788f |
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ROSE: rank ordering of super-enhancers
Super-enhancers, consist of clusters of enhancers that are densely occupied by the master regulators and Mediator. Super-enhancers differ from typical enhancers in size, transcription factor density and content, ability to activate transcription, and sensitivity to perturbation. Use to create stitched enhancers, and to separate super-enhancers from typical enhancers using sequencing data (.bam) given a file of previously identified constituent enhancers (.gff) |
Path: workflows/super-enhancer.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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WGS and MT analysis for fastq files
rna / protein - qc, preprocess, filter, annotation, index, abundance |
Path: CWL/Workflows/wgs-noscreen-fastq.workflow.cwl Branch/Commit ID: 091374dc59a23966338638a668ae397d4ee20b2f |
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trim-chipseq-pe.cwl
Runs ChIP-Seq BioWardrobe basic analysis with paired-end input data files. |
Path: workflows/trim-chipseq-pe.cwl Branch/Commit ID: 812b0ff40dda18ab7a9a872ff13a577be8531ba6 |
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ST520107.cwl
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Path: ST520107.cwl Branch/Commit ID: 272db37d2b8108a146769f0fb0383bb824c9788f |
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bact_get_kmer_reference
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Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
