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Reference-free variant discovery scalable to large eukaryotic genomes

Project description

kevlar build status PyPI version Test coverage kevlar documentation Docker build status MIT licensed

 What if I told you we don't need alignments to find variants?


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?
  • Source repository:
  • Documentation:
  • Stable releases:
  • Issue tracker:

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

How do I install kevlar?

See the kevlar documentation for complete instructions, but the impatient can try the following.

pip3 install git+
pip3 install biokevlar
How do I use kevlar?
  • Installation instructions:
  • Quick start guide:
  • Tutorial:
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 and the Computational Genomics Lab at UC Davis.

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