An easy to use and comprehensive python package which aids in the analysis and visualization of orthologous genes. 🐵
OrthoEvolution is an easy to use and comprehensive python package which aids in the analysis and visualization of comparative evolutionary genetics related projects.
This package is focused on the inference of orthologs using NCBI's blast, various sequence alignment strategies, and phylogenetics analyses including PAML, PhyML, ete3, and more tools.
Ultimately, the goal is to create a reusable pipeline for the inference of orthologs in order to ensure reproducibility of data as well as improve the management and analysis of (what can be) large datasets. The Cookies, Manager, Pipeline, and Tools modules act as a framework for our workflow, while the Orthologs module provides access to specific functions for our various ortholog inference projects.
View our read the docs and feel free to also read this related paper to gain more insight into this project/python package.
View the below methiods for installing this package.
pip install ortho-evol
git clone https://github.com/datasnakes/OrthoEvolution.git
cd OrthoEvolution
pip install .
WARNING : This code is actively under development and may not be reliable. Please create an issue for questions about development.
git clone -b dev-master https://github.com/datasnakes/OrthoEvolution.git
cd OrthoEvolution
pip install .
Check out this tutorial in our Wiki Docs.
import OrthoEvol
To run tests, type nosetests Tests/ in the OrthoEvolution directory.
This package was created by the Datasnakes Team.
If you would like to contribute to this package, install the package in development mode,
and check out our contributing guidelines <https://github.com/datasnakes/OrthoEvolution/blob/master/CONTRIBUTING.rst>__.
We're so thankful to have a resource such as `Biopython <http://biopython.org/wiki/Biopython>`__. They inspired this package.
*Cock, P.J.A. et al. Biopython: freely available Python tools for computational molecular biology and Bioinformatics. Bioinformatics 2009 Jun 1; 25(11) 1422-3 http://dx.doi.org/10.1093/bioinformatics/btp163
pmid:19304878*