Explore Workflows
View already parsed workflows here or click here to add your own
| Graph | Name | Retrieved From | View |
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EMG assembly for paired end Illumina
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https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git
Path: workflows/emg-assembly.cwl Branch/Commit ID: 9c57dba |
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RNA-Seq alignment and transcript/gene abundance workflow
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https://github.com/fgomez02/analysis-workflows.git
Path: definitions/pipelines/rnaseq.cwl Branch/Commit ID: No_filters_detect_variants |
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rnaseq-star-rsem-pe.cwl
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https://github.com/pitagora-network/DAT2-cwl.git
Path: workflow/rna-seq/rnaseq-star-rsem-pe/rnaseq-star-rsem-pe.cwl Branch/Commit ID: main |
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sc_atac_seq_prep_process_analyze.cwl
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https://github.com/hubmapconsortium/sc-atac-seq-pipeline.git
Path: sc_atac_seq_prep_process_analyze.cwl Branch/Commit ID: 3da5dd0 |
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tRNA_selection.cwl
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https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git
Path: tools/tRNA_selection.cwl Branch/Commit ID: 0fed1c9 |
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module-4
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https://github.com/mskcc/roslin-variant.git
Path: setup/cwl/module-4.cwl Branch/Commit ID: 2.4.x |
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Optical throughput measurements via muon ring analysis
Upon receiving a new DL0 data product (from either Monte Carlo simulations or observations), DPPS triggers the CalibPipe (ctapipe-process) to process the data using ctapipe, extracting the signal charges and reconstructing muon parameters. The second step involves using the CalibPipe tool to estimate the telescope’s optical throughput using a predefined number of muon events. |
https://github.com/burmist-git/076_cwl.git
Path: uc-optical-throughput-calibration-with-muons.cwl Branch/Commit ID: master |
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fail-unconnected.cwl
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https://github.com/common-workflow-language/cwl-v1.1.git
Path: tests/fail-unconnected.cwl Branch/Commit ID: master |
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scRNA-seq pipeline using Salmon and Alevin
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https://github.com/hubmapconsortium/salmon-rnaseq.git
Path: pipeline.cwl Branch/Commit ID: 536d6ed |
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workflow_simple.cwl
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https://github.com/fstrozzi/scalability-reproducibility-chapter.git
Path: CWL/workflow_simple.cwl Branch/Commit ID: master |
