Reference-free variant discovery scalable to large eukaryotic genomes
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.
If you have questions or need help with kevlar, the GitHub issue tracker should be your first point of contact.
See the kevlar documentation for complete instructions, but the impatient can try the following.
pip3 install git+https://github.com/dib-lab/khmer.git pip3 install biokevlar
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!
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