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 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](
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.