Metadata-Version: 2.4
Name: gecco-tool
Version: 0.10.0
Summary: Gene Cluster prediction with Conditional random fields. (renamed to gecco)
Author-email: Martin Larralde <martin.larralde@embl.de>, Laura Carroll <lmc297@cornell.edu>
Project-URL: Repository, https://github.com/zellerlab/GECCO
Project-URL: Bug Tracker, https://github.com/zellerlab/GECCO/issues
Project-URL: Changelog, https://github.com/zellerlab/GECCO/blob/master/CHANGELOG.md
Project-URL: Coverage, https://codecov.io/gh/zellerlab/GECCO/
Project-URL: Builds, https://git.embl.de/grp-zeller/GECCO/-/pipelines
Project-URL: Preprint, https://www.biorxiv.org/content/10.1101/2021.05.03.442509v1
Keywords: biosynthetic,gene,cluster
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Typing :: Typed
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: gecco>=0.10
Provides-Extra: train
Requires-Dist: gecco[train]; extra == "train"
Provides-Extra: cli
Requires-Dist: gecco[cli]; extra == "cli"

<img align="right" width="180" height="180" src="https://raw.githubusercontent.com/zellerlab/GECCO/v0.6.2/static/gecco-square.png">

# Hi, I'm GECCO! [![Stars](https://img.shields.io/github/stars/zellerlab/GECCO.svg?style=social&maxAge=3600&label=Star)](https://github.com/zellerlab/GECCO/stargazers)

GECCO (Gene Cluster prediction with Conditional Random Fields) is a fast and
scalable method for identifying putative novel Biosynthetic Gene Clusters (BGCs)
in genomic and metagenomic data using Conditional Random Fields (CRFs).

**🚨 The `gecco-tool` package has been renamed to `gecco` starting from `v0.10.0`**

Please update your code and dependencies to use the new package name. This repository will only offer releases prior 
to `v0.10` for reproducibility. See the new PyPI page for the up-to-date versions of the package: 
[https://pypi.org/project/gecco/](https://pypi.org/project/gecco/)
