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ETE Toolkit – Enabling Large Scale Phylogenomic Analysis and Visualization

Legacy EOSS

2022

Proposal Summary

To enable interactive analysis and exploration of phylogenetic data at the genomics and metagenomics scale.


ETE

ETE is a Python programming library that facilitates the automated analysis and visualization of phylogenomic data. This project aims to improve the functionality for handling and visualizing large phylogenomic data, especially from metagenomics, single-cell analysis, and other related areas. Training materials and courses will be also developed as part of the project.

Project Team

Jaime Huerta-Cepas Github

Centro de Biotecnología y Genómica de Plantas (CBGP UPM/INIA-CSIC)

Jorge Botas Miret Github

Baylor College of Medicine, Houston, Texas

Ziqi Deng Github

Centro de Biotecnología y Genómica de Plantas (CBGP UPM/INIA-CSIC)

Jordi Burguet Castell Github

Universidad Complutense de Madrid (UCM)


Project Team

Centro de Biotecnología y Genómica de Plantas (CBGP UPM/INIA-CSIC)


Project Team

jhcepas