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    "info": {
        "author": "Erik Clarke",
        "author_email": "ecl@mail.med.upenn.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Programming Language :: Python"
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        "description": "# Selective whole genome amplification\n[![Build Status](https://travis-ci.org/eclarke/swga.svg?branch=master)](https://travis-ci.org/eclarke/swga)\n[![Coverage Status](https://coveralls.io/repos/eclarke/swga/badge.svg?branch=dev&service=github)](https://coveralls.io/github/eclarke/swga)\n## Introduction \nThis is an easy-to-use, start-to-end package for finding sets of primers that selectively amplify a particular genome (the \"foreground\" genome) over a background genome. For instance, we can design a set of primers that amplify a parasite's genome in a sample that is overwhelmingly composed of host DNA.\n\nYou can run SWGA on hardware ranging from a Mac laptop to a high-end server. \n\n## Features:\n- Counts all the possible primers in a size range in both genomes\n- Filters primers based on:\n  - foreground and background genome binding rates\n  - melting temperatures (with a built-in melt temp calculator that accounts for mono- and divalent cation solutions!)\n  - Possible homodimerization\n- Finds primer sets containing primers that are compatible with each other using graph theory (largest clique formation). The process ensures:\n  - No primer in a set is a heterodimer\n  - Even binding site spacing in foreground genome\n  - Low total binding to background genome\n- Score each set based on certain binding metrics and allows exploration of high-scoring sets via output to common formats.\n\n## Installation\nFollow the installation instructions [here](https://github.com/eclarke/swga/wiki/Installation)\n\n## Using SWGA\nFollow the guide on our Wiki/[Quick Start](https://github.com/eclarke/swga/wiki/Quick-Start) to get started!\n\n## Updates\nNew features and bugfixes are released all the time. To update, simply follow steps 3-5 on the [installation instructions](https://github.com/eclarke/swga/wiki/Installation).\n\n## 3rd-party code\nSWGA incorporates code from other open-source projects:\n- `cliquer`, a clique-finding library by Sampo Niskanen and Patric Ostergard\n     - http://users.aalto.fi/~pat/cliquer.html\n- `DSK`, a disk-based kmer-counting tool by G. Rizk\n     - http://minia.genouest.org/dsk/\n     - Citation: (Rizk, G., Lavenier, D. and Chikhi, R. DSK: k-mer counting with very low memory usage, Bioinformatics, 2013.)\n\nCliquer is copyright \u00a9 2002 Sampo Niskanen, Patric \u00d6sterg\u00e5rd. and licensed under the GPL.\n\nDSK is licensed under the CeCILL license, which can be found in src/dsk/LICENSE, and is GPL compatible.",
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