Metadata-Version: 2.5
Name: eefinder
Version: 1.1.3
Summary: Identification of endogenous viral and bacterial elements in eukaryotic genomes
Project-URL: Homepage, https://github.com/WallauBioinfo/EEfinder
Project-URL: Documentation, https://eefinder.readthedocs.io
Project-URL: Repository, https://github.com/WallauBioinfo/EEfinder
Project-URL: Issues, https://github.com/WallauBioinfo/EEfinder/issues
Project-URL: Publication, https://doi.org/10.1016/j.csbj.2024.10.012
Author-email: Filipe Zimmer Dezordi <zimmer.filipe@gmail.com>, Yago Dias <yag.dias@gmail.com>
Maintainer-email: Filipe Zimmer Dezordi <zimmer.filipe@gmail.com>
License-Expression: MIT
License-File: LICENSE
Keywords: EVE,bioinformatics,endogenous elements,genomics,horizontal gene transfer,virus
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: <3.12,>=3.9
Requires-Dist: biopython<1.86,>=1.79
Requires-Dist: click>=8.1
Requires-Dist: numpy<3,>=1.22
Requires-Dist: pandas<3,>=1.4
Description-Content-Type: text/markdown

# EEfinder

EEfinder is a tool/python package that automatizes several tasks related to identification of Endogenous Elements present on Eukaryotic Genomes.

#### Documentation

Full documentation is hosted on Read the Docs: **https://eefinder.readthedocs.io**

#### Cite us

If you use EEfinder in your research, please cite https://www.sciencedirect.com/science/article/pii/S2001037024003325:

```
Dias, Y. J. M., Dezordi, F. Z., & Wallau, G. L. (2024). EEFinder: A general-purpose tool for identification of bacterial and viral endogenized elements in eukaryotic genomes. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2024.10.012
```