{ "info": { "author": "Anni Zhang", "author_email": "anniz44@mit.edu", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3" ], "description": "# bayerstraits_16s\n# This is a temp version of bayerstraits_16s\n## Introduction\n* bayerstraits_16s infers traits by 16S\n* input: otu table (-t) and otu sequences (-s)\n* requirement: mafft\n* Optional: fasttree\n![alt text](https://raw.githubusercontent.com/caozhichongchong/bayerstraits_16s/master/Methodology.png)\n\n## Install\n`pip install bayerstraits_16s`\\\nin preparation: `anaconda download caozhichongchong/bayerstraits_16s`\n\n## Test (any of these two commands)\n`bayerstraits_16s --test`\\\n`bayerstraits_16s -t your.otu.table -s your.otu.seqs`\n\n## Availability\nin preparation: https://anaconda.org/caozhichongchong/bayerstraits_16s\n\nhttps://pypi.org/project/bayerstraits_16s\n\n## How to use it\n1. test the bayerstraits_16s\\\n`bayerstraits_16s --test`\n\n2. try your data\\\n`bayerstraits_16s -t your.otu.table -s your.otu.seqs`\\\n`bayerstraits_16s -t your.otu.table -s your.otu.seqs -top 2000`\\\nWarning: please keep the exactly same OTU IDs in your.otu.table and your.otu.seqs! \n\n3. use your own traits\\\n`bayerstraits_16s -t your.otu.table -s your.otu.seqs --rs your.own.reference.16s --rt your.own.reference.traits`\n\n* your.own.reference.16s is a fasta file containing the 16S sequences of your genomes\\\n\\>Genome_ID1\\\nATGC...\\\n\\>Genome_ID2\\\nATGC...\n\n* your.own.reference.traits is a metadata of whether there's trait in your genomes (0 for no and 1 for yes)\\\nGenome_ID1 0\\\nGenome_ID1 1\n\n## Results\nThe result dir of \"Bayers_model\":\n* `filename.infertraits.txt`: the OTUs inferring as butyrate-producing bacteria (1.0, 0.5) \nand non-butyrate-producing bacteria (0.0).\n* `filename.infertraits.abu`: the total abundance of butyrate-producing bacteria in all samples.\n* `filename.infertraits.otu_table`: the otu_table of butyrate-producing bacteria in all samples.\n\nThe result dir of \"Filtered_OTU\":\n* Some temp files of filtered OTUs, alignment, and tree.\n\n## Copyright\nCopyright: An Ni Zhang, Prof. Eric Alm, Alm Lab in MIT\\\nCitation: Not yet, coming soon!\\\nContact: anniz44@mit.edu\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/caozhichongchong/BayersTraits_16S", "keywords": "16S", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "bayerstraits_16s", "package_url": "https://pypi.org/project/bayerstraits_16s/", "platform": "", "project_url": "https://pypi.org/project/bayerstraits_16s/", "project_urls": { "Homepage": "https://github.com/caozhichongchong/BayersTraits_16S" }, "release_url": "https://pypi.org/project/bayerstraits_16s/1.0.6/", "requires_dist": null, "requires_python": "", "summary": "Inferring traits by 16S", "version": "1.0.6" }, "last_serial": 4946579, "releases": { 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