Metadata-Version: 2.1
Name: gtdbtk
Version: 1.1.1
Summary: A toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.
Home-page: https://github.com/Ecogenomics/GTDBTk
Author: Pierre-Alain Chaumeil and Donovan Parks
Author-email: p.chaumeil@uq.edu.au
Maintainer: Pierre-Alain Chaumeil, Aaron Mussig, and Donovan Parks
Maintainer-email: donovan.parks@gmail.com
License: GPL3
Description: # GTDB-Tk
        
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        GTDB-Tk is a software toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes based on the Genome Database Taxonomy [GTDB](https://gtdb.ecogenomic.org/). It is designed to work with recent advances that allow hundreds or thousands of metagenome-assembled genomes (MAGs) to be obtained directly from environmental samples. It can also be applied to isolate and single-cell genomes. The GTDB-Tk is open source and released under the [GNU General Public License (Version 3)](https://www.gnu.org/licenses/gpl-3.0.en.html).
        
        Notifications about GTDB-Tk releases will be available through the GTDB Twitter account (https://twitter.com/ace_gtdb).
        
        Please post questions and issues related to GTDB-Tk on the Issues section of the GitHub repository. Questions related to the [GTDB](https://gtdb.ecogenomic.org/) should be sent to the [GTDB team](https://gtdb.ecogenomic.org/about). 
        
        ## Documentation
        https://ecogenomics.github.io/GTDBTk/
        
        ## References
        
        GTDB-Tk is described in:
        
        * Chaumeil PA, et al. 2019. [GTDB-Tk: A toolkit to classify genomes with the Genome Taxonomy Database](https://academic.oup.com/bioinformatics/advance-article-abstract/doi/10.1093/bioinformatics/btz848/5626182). <i>Bioinformatics</i>, btz848.
        
        The Genome Taxonomy Database (GTDB) is described in:
        
        * Parks DH, et al. 2019. [Selection of representative genomes for 24,706 bacterial and archaeal species clusters provide a complete genome-based taxonomy](https://www.biorxiv.org/content/10.1101/771964v2). <i>bioRxiv</i>, https://doi.org/10.1101/771964.
        * Parks DH, et al. 2018. [A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life](https://www.nature.com/articles/nbt.4229). <i>Nat. Biotechnol.</i>, http://dx.doi.org/10.1038/nbt.4229.
         
         We strongly encourage you to cite the following 3rd party dependencies:
        
        * Matsen FA, et al. 2010. [pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree](https://www.ncbi.nlm.nih.gov/pubmed/21034504). <i>BMC Bioinformatics</i>, 11:538.
        * Jain C, et al. 2019. [High-throughput ANI Analysis of 90K Prokaryotic Genomes Reveals Clear Species Boundaries](https://www.nature.com/articles/s41467-018-07641-9). <i>Nat. Communications</i>, doi: 10.1038/s41467-018-07641-9.
        * Hyatt D, et al. 2010. [Prodigal: prokaryotic gene recognition and translation initiation site identification](https://www.ncbi.nlm.nih.gov/pubmed/20211023). <i>BMC Bioinformatics</i>, 11:119. doi: 10.1186/1471-2105-11-119.
        * Price MN, et al. 2010. [FastTree 2 - Approximately Maximum-Likelihood Trees for Large Alignments](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2835736/). <i>PLoS One</i>, 5, e9490.
        * Eddy SR. 2011. [Accelerated profile HMM searches](https://www.ncbi.nlm.nih.gov/pubmed/22039361). <i>PLOS Comp. Biol.</i>, 7:e1002195.
        * Ondov BD, et al. 2016. [Mash: fast genome and metagenome distance estimation using MinHash](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0997-x). <i>Genome Biol</i> 17, 132. doi: doi: 10.1186/s13059-016-0997-x.
        
        ## Copyright
        
        Copyright 2017 Pierre-Alain Chaumeil. See LICENSE for further details.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
