Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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03-map-pe-umis.cwl
STARR-seq 03 mapping - reads: PE |
https://github.com/alexbarrera/GGR-cwl.git
Path: v1.0/STARR-seq_pipeline/03-map-pe-umis.cwl Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134 |
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kmer_ref_compare_wnode
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: 7cee09fb3e33c851e4e1dfc965c558b82290a785 |
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kmer_seq_entry_extract_wnode
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl Branch/Commit ID: 7cee09fb3e33c851e4e1dfc965c558b82290a785 |
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Bisulfite QC tools
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/bisulfite_qc.cwl Branch/Commit ID: 43c790e2ee6a0f3f42e40fb4d9a9005eb8de747a |
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kmer_build_tree
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_build_tree.cwl Branch/Commit ID: 7cee09fb3e33c851e4e1dfc965c558b82290a785 |
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varscan somatic workflow
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https://github.com/genome/analysis-workflows.git
Path: definitions/subworkflows/varscan.cwl Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5 |
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Compute library complexity
This workflow compute library complexity |
https://github.com/ncbi/cwl-ngs-workflows-cbb.git
Path: workflows/File-formats/bedtools-bam-pbc.cwl Branch/Commit ID: 527251ebb77750d02dcc9a370d978a153fc9328f |
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03-map-pe.cwl
STARR-seq 03 mapping - reads: PE |
https://github.com/alexbarrera/GGR-cwl.git
Path: v1.0/STARR-seq_pipeline/03-map-pe.cwl Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134 |
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Cell Ranger Aggregate
Cell Ranger Aggregate ===================== |
https://github.com/datirium/workflows.git
Path: workflows/cellranger-aggr.cwl Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be |
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FastQC - a quality control tool for high throughput sequence data
FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application |
https://github.com/datirium/workflows.git
Path: workflows/fastqc.cwl Branch/Commit ID: 8049a781ac4aae579fbd3036fa0bf654532f15be |