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ETE Toolkit - Enabling Large Scale Phylogenomic Analysis and Visualization

Project ETE
Funding Cycle 5

Proposal Summary

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

Project

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.

Key Personnel

Jaime Huerta-Cepas

Affiliation

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

GitHub Handle

jhcepas
Jorge Botas Miret

Affiliation

Baylor College of Medicine, Houston, Texas

GitHub Handle

jorgebotas
Ziqi Deng

Affiliation

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

GitHub Handle

dengzq1234
Jordi Burguet Castell

Affiliation

Universidad Complutense de Madrid (UCM)

GitHub Handle

jordibc

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