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        "author": "Duncan Murdock",
        "author_email": "me@duncanmurdock.name",
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            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "SIDR - Sequence Identification with Decision tRees\n==================================================\n\n.. image:: https://travis-ci.org/damurdock/SIDR.svg?branch=master\n    :target: https://travis-ci.org/damurdock/SIDR\n\nSIDR (pronounced: cider) is a tool to filter Next Generation Sequencing\n(NGS) data based on a chosen target organism. SIDR uses data fron BLAST\n(or similar classifiers) to train a decision tree model to classify\nsequence data as either belonging to the target organism, or belonging\nto something else. This classification can be used to filter the data\nfor later assembly.\n\nNote: SIDR is alpha software. Features are currently incomplete and subject to major change.\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nInstallation\n------------\n\nTo install SIDR, clone this repository and run setup.py, or use pip to install.\n\n::\n\n    pip install sidr\n\nSee the `documentation <https://sidr.readthedocs.io>`__ for more\ndetails.\n\nUsage\n-----\n\nSIDR has two main modes. Default mode takes several bioinformatics files\nas input, and computes a decision tree based on percentage GC content\nand per-base sequencing coverage. To run it, use:\n\n::\n\n    sidr default -d [taxdump path] -b [bamfile] -f [assembly FASTA] -r [BLAST results] -k tokeep.contigids -x toremove.contigids -t [target phylum] \n\nRunfile mode takes a tab-delimited file of contigs, variables, and\nclassification as input. To run it, use:\n\n::\n\n    sidr runfile -i [runfile] -k tokeep.contigids -x toremove.contigids -t [target phylum] \n\nSee the `documentation <https://sidr.readthedocs.io>`__ for more\ndetails.\n\nTODO\n----\n\n-  More complete documentation\n\n-  More unit tests\n\n\n",
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        "license": "MIT",
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        "name": "SIDR",
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        "summary": "Sequence Idenification using Decision tRees; a tool to classify DNA reads using machine learning models.",
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