gtnet

The Genome Taxonomy Network for assigning microbial taxonomy to DNA sequences

https://github.com/lbl-cbg/gtnet

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary

Keywords

metagenomic-analysis metagenomic-classification metagenomics microbial-taxonomy neural-network taxonomic-classification
Last synced: 10 months ago · JSON representation ·

Repository

The Genome Taxonomy Network for assigning microbial taxonomy to DNA sequences

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 5
  • Releases: 7
Topics
metagenomic-analysis metagenomic-classification metagenomics microbial-taxonomy neural-network taxonomic-classification
Created almost 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.rst

=====
GTNet
=====
The Genome Taxonomy Network for assigning GTDB microbial taxonomy to DNA sequences.

Documentation can be found at https://gtnet.readthedocs.io.

Latest Release
==============

.. image:: https://badge.fury.io/py/gtnet.svg
    :target: https://badge.fury.io/py/gtnet

Overall Health
==============

.. image:: https://codecov.io/gh/exabiome/gtnet/branch/main/graph/badge.svg?token=AFJH59YZ3U
    :target: https://codecov.io/gh/exabiome/gtnet

.. image:: https://readthedocs.org/projects/hdmf/badge/?version=stable
    :target: https://hdmf.readthedocs.io/en/stable/?badge=stable

Installation
============

See the `GTNet documentation `_.

LICENSE
=======

The Genome Taxonomy Network (GTNet) Copyright (c) 2022, The
Regents of the University of California, through Lawrence Berkeley
National Laboratory (subject to receipt of any required approvals
from the U.S. Dept. of Energy). All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

(1) Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.

(2) Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

(3) Neither the name of the University of California, Lawrence Berkeley
National Laboratory, U.S. Dept. of Energy nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.


THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.

You are under no obligation whatsoever to provide any bug fixes, patches,
or upgrades to the features, functionality or performance of the source
code ("Enhancements") to anyone; however, if you choose to make your
Enhancements available either publicly, or directly to Lawrence Berkeley
National Laboratory, without imposing a separate written license agreement
for such Enhancements, then you hereby grant the following license: a
non-exclusive, royalty-free perpetual license to install, use, modify,
prepare derivative works, incorporate into other computer software,
distribute, and sublicense such enhancements or derivative works thereof,
in binary and source code form.

COPYRIGHT
=========

The Genome Taxonomy Network (GTNet) Copyright (c) 2022, The
Regents of the University of California, through Lawrence Berkeley
National Laboratory (subject to receipt of any required approvals
from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software,
please contact Berkeley Lab's Intellectual Property Office at
IPO@lbl.gov.

NOTICE.  This Software was developed under funding from the U.S. Department
of Energy and the U.S. Government consequently retains certain rights.  As
such, the U.S. Government has been granted for itself and others acting on
its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the
Software to reproduce, distribute copies to the public, prepare derivative
works, and perform publicly and display publicly, and to permit others to do so.

Owner

  • Name: lbl-cbg
  • Login: lbl-cbg
  • Kind: organization

Citation (CITATION.bib)

@software{gtnet,
  author = {Tritt, Andrew},
  title = {{The Genome Taxonomy Network}},
  url = {https://github.com/exabiome/gtnet},
  version = {0.0.6},
  year = {2024}
}

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Dependencies

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.github/workflows/run_tests.yml actions
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environment.yml pypi
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pyproject.toml pypi
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requirements-dev.txt pypi
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requirements-doc.txt pypi
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requirements.txt pypi
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