Metadata-Version: 2.1
Name: gtax
Version: 0.0.3
Summary: Gtax generate a taxonomy sequence database by genomes 
Home-page: https://github.com/ncbi/gtax
Author: Vera Alvarez, Roberto
Author-email: veraalva@ncbi.nlm.nih.gov
Maintainer: Vera Alvarez, Roberto
Maintainer-email: veraalva@ncbi.nlm.nih.gov
License: Public Domain
Project-URL: Documentation, https://gtax.readthedocs.io/
Project-URL: Source, https://github.com/ncbi/gtax
Project-URL: Tracker, https://github.com/ncbi/gtax/issues
Keywords: Biocontainers
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: Public Domain
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
License-File: LICENSE

GTax
====

**GTax** python package provides tools for the creation of the GTax sequence-based database. This database includes
one assembly per organism deposited in the NCBI Genomes database. The sequences are organized by 17 taxonomic levels
from *superkindom* to *clades*. Python pickle files are also provided with a graph data structure for the taxonomic 
tree.

Read the Docs at: https://gtax.readthedocs.io/
    
Public Domain notice
====================

National Center for Biotechnology Information.

This software is a "United States Government Work" under the terms of the United States
Copyright Act. It was written as part of the authors' official duties as United States
Government employees and thus cannot be copyrighted. This software is freely available
to the public for use. The National Library of Medicine and the U.S. Government have not
 placed any restriction on its use or reproduction.

Although all reasonable efforts have been taken to ensure the accuracy and reliability
of the software and data, the NLM and the U.S. Government do not and cannot warrant the
performance or results that may be obtained by using this software or data. The NLM and
the U.S. Government disclaim all warranties, express or implied, including warranties
of performance, merchantability or fitness for any particular purpose.

Please cite NCBI in any work or product based on this material.
    


