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Updated: May 27, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

Fast computation of minimum hybridization networks.

Benjamin Albrecht¹, Celine Scornavacca, Alberto Cenci

¹Department of Computer Science, Center for Bioinformatics (ZBIT), Tübingen University, Sand 14, 72076 Tübingen, Germany.

Bioinformatics (Oxford, England)

|November 11, 2011

Summary

This study introduces a new method to identify hybridization events in evolution by computing minimum hybridization networks. The developed software shows improved performance on biological data, aiding evolutionary studies.

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Area of Science:

Evolutionary Biology
Phylogenetics
Bioinformatics

Background:

Interspecific hybridization can result in gene tree incongruence.
Hybridization networks reconcile gene trees with minimal hybridization events.

Purpose of the Study:

To develop a method for computing minimum hybridization networks.
To provide a user-friendly software implementation for analyzing hybridization.

Main Methods:

A parallel algorithm is used to compute minimum hybridization networks.
The algorithm is implemented in the Dendroscope 3 software.

Main Results:

The software demonstrates superior performance compared to existing tools in simulations.
The method is applied to study the evolution of Aegilops/Triticum genera.

Conclusions:

The developed approach effectively reconciles incongruent gene trees.
This tool aids in understanding evolutionary hybridization events.