Daniel Standage, 2016-2019
Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome!
kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.
This software is free for use under the MIT license.
Where can I find kevlar online?
If you have questions or need help with kevlar, the [GitHub issue tracker](https://github.com/kevlar-dev/kevlar) should be your first point of contact.
- Source repository: https://github.com/kevlar-dev/kevlar
- Documentation: https://kevlar.readthedocs.io
- Stable releases: https://github.com/kevlar-dev/kevlar/releases
- Issue tracker: https://github.com/kevlar-dev/kevlar/issues
How do I install kevlar?
See [the kevlar documentation](http://kevlar.readthedocs.io/en/latest/install.html) for complete instructions, but the impatient can try the following.
pip3 install git+https://github.com/dib-lab/khmer.git
pip3 install biokevlar
How do I use kevlar?
- Installation instructions: http://kevlar.readthedocs.io/en/latest/install.html
- Quick start guide: http://kevlar.readthedocs.io/en/latest/quick-start.html
- Tutorial: http://kevlar.readthedocs.io/en/latest/tutorial.html
How do I cite kevlar?
Standage DS, Brown CT, Hormozdiari F (2019) Kevlar: a mapping-free framework for accurate discovery of de novo variants. *bioRxiv*, [doi:10.1101/549154](https://doi.org/10.1101/549154).
How can I contribute?
We welcome contributions to the kevlar project 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](http://ivory.idyll.org/lab/) and the [Computational Genomics Lab](http://www.hormozdiarilab.org/) at UC Davis.