Explore Workflows
View already parsed workflows here or click here to add your own
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Run genomic CMsearch
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Path: bacterial_noncoding/wf_gcmsearch.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
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gcaccess_from_list
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Path: task_types/tt_gcaccess_from_list.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
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rMATS_bam_packed.cwl
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Path: cwl/rMATS_bam_packed.cwl Branch/Commit ID: fb6e269a0da3fc923ef437ef32d65bd04bc4d5eb |
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Single-Cell WNN Cluster Analysis
Single-Cell WNN Cluster Analysis Clusters cells by similarity on the basis of both gene expression and chromatin accessibility data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” and “Single-Cell ATAC-Seq Dimensionality Reduction Analysis” pipelines run sequentially. The results of this workflow are used in the “Single-Cell Manual Cell Type Assignment”, “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, “Single-Cell Differential Abundance Analysis”, “Single-Cell ATAC-Seq Differential Accessibility Analysis”, and “Single-Cell ATAC-Seq Genome Coverage” pipelines. |
Path: workflows/sc-wnn-cluster.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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Filter Protein Alignments
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Path: protein_alignment/wf_align_filter.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
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Single-Cell Label Integration Analysis
Single-Cell Label Integration Analysis Harmonizes conflicting annotations in single-cell genomics studies. |
Path: workflows/sc-triangulate.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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Single-Cell ATAC-Seq Dimensionality Reduction Analysis
Single-Cell ATAC-Seq Dimensionality Reduction Analysis Removes noise and confounding sources of variation by reducing dimensionality of chromatin accessibility data from the outputs of “Single-Cell Multiome ATAC and RNA-Seq Filtering Analysis” pipelines. The results of this workflow are primarily used in “Single-Cell ATAC-Seq Cluster Analysis” or “Single-Cell WNN Cluster Analysis” pipelines. |
Path: workflows/sc-atac-reduce.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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Seed Protein Alignments
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Path: protein_alignment/wf_seed_seqids.cwl Branch/Commit ID: 424a01693259a75641dc249d553235aa38a6ce23 |
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Single-Cell RNA-Seq Cluster Analysis
Single-Cell RNA-Seq Cluster Analysis Clusters cells by similarity of gene expression data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” pipeline. The results of this workflow are used in the “Single-Cell Manual Cell Type Assignment”, “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, and “Single-Cell Differential Abundance Analysis” pipelines. |
Path: workflows/sc-rna-cluster.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
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Kallisto index pipeline
This workflow indexes the input reference FASTA with kallisto, and generates a kallisto index file (.kdx). This index sample can then be used as input into the kallisto transcript-level quantification workflow (kallisto-quant-pe.cwl), or others that may include this workflow as an upstream source. ### __Inputs__ - FASTA file of the reference genome that will be indexed - number of threads to use for multithreading processes ### __Outputs__ - kallisto index file (.kdx). - stdout log file (output in Overview tab as well) - stderr log file ### __Data Analysis Steps__ 1. cwl calls dockercontainer robertplayer/scidap-kallisto to index reference FASTA with `kallisto index`, generating a kallisto index file. ### __References__ - Bray, N. L., Pimentel, H., Melsted, P. & Pachter, L. Near-optimal probabilistic RNA-seq quantification, Nature Biotechnology 34, 525-527(2016), doi:10.1038/nbt.3519 |
Path: workflows/kallisto-index.cwl Branch/Commit ID: 93b844a80f4008cc973ea9b5efedaff32a343895 |
