https://github.com/broadinstitute/long-read-pipelines
Long read production pipelines
https://github.com/broadinstitute/long-read-pipelines
de-novo-assembly long-reads pipelines variant-calling wdl
Last synced: about 1 year ago
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Long read production pipelines
- Host: GitHub
- URL: https://github.com/broadinstitute/long-read-pipelines
- Owner: broadinstitute
- License: bsd-3-clause
- Created: 2019-05-14T16:12:33.000Z (about 7 years ago)
- Default Branch: main
- Last Pushed: 2024-12-02T16:38:29.000Z (over 1 year ago)
- Last Synced: 2024-12-04T19:31:19.058Z (over 1 year ago)
- Topics: de-novo-assembly, long-reads, pipelines, variant-calling, wdl
- Language: Jupyter Notebook
- Homepage: https://broadinstitute.github.io/long-read-pipelines/
- Size: 215 MB
- Stars: 142
- Watchers: 16
- Forks: 24
- Open Issues: 121
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Metadata Files:
- Readme: README.md
- License: LICENSE
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# Long read pipelines
This repository contains pipelines for processing of long read data from PacBio and/or Oxford Nanopore platforms. The pipelines are written in [WDL 1.0](https://github.com/openwdl/wdl/blob/main/versions/1.0/SPEC.md#introduction) intended for use with Google Cloud Platform via the scientific workflow engine, [Cromwell](https://github.com/broadinstitute/cromwell). Processing is designed to be reasonably consistent between both long read platforms, and use platform-specific options or tasks where necessary.
High level workflows can be found in the wdl/ directory.
**Documentation**: Documentation for each workflow can be found at the repository [site](https://broadinstitute.github.io/long-read-pipelines/).
**External Contributors**: Please see the [Contributing Guidelines](https://broadinstitute.github.io/long-read-pipelines/development_guide/#contributing-guidelines) for information on how to contribute to the repository.