ete

ete reconstructs, analyzes, and visualizes phylogenetic trees and multiple sequence alignments to support comparative genomics and phylogenetic research.


Key Features:

  • Phylogeny reconstruction: Builds gene-based and supermatrix-based phylogenies.
  • Multiple sequence alignment handling: Reconstructs, analyzes, and visualizes multiple sequence alignments.
  • Evolutionary model testing and visualization: Tests evolutionary models and provides visualization of model results.
  • Tree distance calculations: Calculates distances between trees of varying sizes, including comparisons that account for duplications.
  • NCBI Taxonomy integration: Integrates with the NCBI taxonomy database for taxonomic annotation and mapping.
  • Standalone analytical tools: Provides a suite of standalone utilities for common comparative genomics and phylogenetics tasks.

Scientific Applications:

  • Phylogenetic reconstruction: Reconstruction of gene trees and concatenation/supermatrix-based phylogenies.
  • Comparative genomics: Comparative analyses of gene families and species relationships using phylogenies and alignments.
  • Evolutionary model assessment: Testing and visualization of evolutionary models to study evolutionary dynamics.
  • Tree comparison: Quantifying tree similarities and differences, including analyses that consider gene duplications.
  • Taxonomic annotation: Mapping phylogenetic results to NCBI taxonomy for taxon-aware analyses.

Methodology:

Reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments; evolutionary model testing and visualization; tree distance calculations including duplication-aware comparisons; integration with the NCBI taxonomy database.

Topics

Details

Added:
3/7/2024
Last Updated:
11/6/2024

Operations

Publications

Huerta-Cepas J, Serra F, Bork P. ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data. Molecular Biology and Evolution. 2016;33(6):1635-1638. doi:10.1093/molbev/msw046. PMID:26921390. PMCID:PMC4868116.

Huerta-Cepas J, Dopazo J, Gabaldón T. ETE: a python Environment for Tree Exploration. BMC Bioinformatics. 2010;11(1). doi:10.1186/1471-2105-11-24. PMID:20070885. PMCID:PMC2820433.

Documentation