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            "Development Status :: 4 - Beta",
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            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "[![kevlar build status][travisbadge]](https://travis-ci.org/dib-lab/kevlar)\n[![PyPI version][pypibadge]](https://pypi.python.org/pypi/biokevlar)\n[![Test coverage][codecovbadge]](https://codecov.io/github/dib-lab/kevlar)\n[![kevlar documentation][rtdbadge]](http://kevlar.readthedocs.io/en/latest/?badge=latest)\n[![Docker build status][dockerbadge]](https://quay.io/repository/dib-lab/kevlar)\n[![MIT licensed][licensebadge]](https://github.com/dib-lab/kevlar/blob/master/LICENSE)\n\n<img src=\"docs/_static/morpheus-kevlar.jpg\" alt=\" What if I told you we don't need alignments to find variants?\" width=\"400px\" />\n\n# kevlar\n\nDaniel Standage, 2016-2019  \nhttps://kevlar.readthedocs.io\n\nWelcome to **kevlar**, software for predicting *de novo* genetic variants without mapping reads to a reference genome!\nkevlar'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.\nThis software is free for use under the MIT license.\n\n<details>\n  <summary>Where can I find kevlar online?</summary>\n  <ul>\n    <li>Source repository: https://github.com/dib-lab/kevlar</li>\n    <li>Documentation: https://kevlar.readthedocs.io</li>\n    <li>Stable releases: https://github.com/dib-lab/kevlar/releases</li>\n    <li>Issue tracker: https://github.com/dib-lab/kevlar/issues</li>\n  </ul>\n\n  If you have questions or need help with kevlar, the [GitHub issue tracker](https://github.com/dib-lab/kevlar) should be your first point of contact.\n</details>\n\n<details>\n  <summary>How do I install kevlar?</summary>\n\n  See [the kevlar documentation](http://kevlar.readthedocs.io/en/latest/install.html) for complete instructions, but the impatient can try the following.\n\n  ```\n  pip3 install git+https://github.com/dib-lab/khmer.git\n  pip3 install biokevlar\n  ```\n</details>\n\n<details>\n  <summary>How do I use kevlar?</summary>\n  <ul>\n    <li>Installation instructions: http://kevlar.readthedocs.io/en/latest/install.html</li>\n    <li>Quick start guide: http://kevlar.readthedocs.io/en/latest/quick-start.html</li>\n    <li>Tutorial: http://kevlar.readthedocs.io/en/latest/tutorial.html</li>\n  </ul>\n</details>\n\n<details>\n  <summary>How can I contribute?</summary>\n  \n  We welcome contributions to the kevlar project from the community!\n  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!\n\n  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.\n</details>\n\n\n[travisbadge]: https://img.shields.io/travis/dib-lab/kevlar.svg\n[pypibadge]: https://img.shields.io/pypi/v/biokevlar.svg\n[codecovbadge]: https://img.shields.io/codecov/c/github/dib-lab/kevlar.svg\n[rtdbadge]: https://readthedocs.org/projects/kevlar/badge/?version=latest&maxAge=900\n[dockerbadge]: https://quay.io/repository/dib-lab/kevlar/status\n[licensebadge]: https://img.shields.io/badge/license-MIT-blue.svg",
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