Metadata-Version: 2.1
Name: Orange3-Bioinformatics
Version: 4.6.0
Summary: Orange Bioinformatics add-on for Orange data mining software package.
Home-page: https://github.com/biolab/orange3-bioinformatics
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
Maintainer: Jaka Kokosar
License: GPL3+
Project-URL: Bug Tracker, https://github.com/biolab/orange3-bioinformatics/issues
Project-URL: Documentation, https://orange3-bioinformatics.readthedocs.io/en/latest/
Project-URL: Source Code, https://github.com/biolab/orange3-bioinformatics/
Keywords: 'orange3 add-on'
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 1 - Planning
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: doc
Provides-Extra: test
License-File: LICENSE

Orange3 Bioinformatics
======================

Orange Bioinformatics provides access to publicly available data, like GEO data
sets, GO and KEGG. It enables gene enrichment analysis, clustering,
classification, gene identification and provides several common visualizations.
All features can be combined with other widgets from the Orange data mining
framework.
See [documentation](http://orange3-bioinformatics.readthedocs.org/).

Features
--------
#### Data access
* access to GEO data sets
* access to GO database
* access to KEGG pathways database

#### Bioinformatics analysis
* plot differential gene expression
* visualize diagrams of molecular interactions, reactions, and relations
* enrich gene sets
* cluster analysis
