Skip to content

scchess/kevlar

 
 

Repository files navigation

Status of the continuous integration build Current code coverage from automated tests Project documentation Docker image for cloud deployment Software license

kevlar

Welcome to kevlar, software for variant discovery independent of a reference genome!

Where can I find kevlar online?

The online home for kevlar is https://github.com/dib-lab/kevlar. This includes a source code repository, stable version releases, an issue tracker, and various developer tools. Documentation for kevlar can be found at https://kevlar.readthedocs.io.

If you have questions or need help with kevlar, the GitHub issue tracker should be your first point of contact.

How do I use kevlar?

See kevlar's installation instructions and quick start guide to learn how to use kevlar.

Note: Although a reference genome is not required, it can be utilized to reduce data volume at an early stage in the workflow and reduce the computational demands of subsequent steps.

Another note: kevlar development is currently focused almost entirely on finding novel variants in family-based trio and quad experimental designs. However, the method lends itself easily to more general experimental designs, which will get more attention and support in the near future.

Contributing

We welcome contributions to kevlar from the community! If you're interested in modifying kevlar or contributing to its ongoing development, feel free to send us a message or submit a pull request!.

The kevlar software is a project of the Lab for Data Intensive Biology at UC Davis.

About

Reference-free variant discovery in large eukaryotic genomes

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 89.2%
  • C++ 6.8%
  • Shell 1.9%
  • C 1.3%
  • Makefile 0.8%