Toward new software for computational phylogenetics

Bernard M E Moret; Li San Wang; Tandy Warnow

doi:10.1109/MC.2002.1016902

Toward new software for computational phylogenetics

Bernard M E Moret, Li San Wang, Tandy Warnow

Research output: Contribution to journal › Article › peer-review

Abstract

Systematists study how a group of genes or organisms evolved. These biologists now have set their sights on the Tree of Life challenge: to reconstruct the evolutionary history of all known living organisms. A typical phylogenetic reconstruction starts with biomolecular data, such as DNA sequences for modern organisms, and builds a tree, or phylogeny, for these sequences that represents a hypothesized evolutionary history. Finding the best tree for a data set can be a computationally intensive problem. Phylogenetic software for mapping the Tree of Life will require entirely new approaches in statistical models of evolution, high-performance implementations, and data analysis and visualization. The authors have developed polynomial algorithmic techniques for use in their research addressing phylogeny reconstruction from biomolecular sequences, focusing on the accuracy of reconstructions and the use of simulations.

Original language	English
Journal	Computer
Volume	35
Issue number	7
DOIs	https://doi.org/10.1109/MC.2002.1016902
State	Published - Jul 2002
Externally published	Yes

ASJC Scopus subject areas

Hardware and Architecture
Computer Graphics and Computer-Aided Design
Software

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10.1109/MC.2002.1016902

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AB - Systematists study how a group of genes or organisms evolved. These biologists now have set their sights on the Tree of Life challenge: to reconstruct the evolutionary history of all known living organisms. A typical phylogenetic reconstruction starts with biomolecular data, such as DNA sequences for modern organisms, and builds a tree, or phylogeny, for these sequences that represents a hypothesized evolutionary history. Finding the best tree for a data set can be a computationally intensive problem. Phylogenetic software for mapping the Tree of Life will require entirely new approaches in statistical models of evolution, high-performance implementations, and data analysis and visualization. The authors have developed polynomial algorithmic techniques for use in their research addressing phylogeny reconstruction from biomolecular sequences, focusing on the accuracy of reconstructions and the use of simulations.

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Toward new software for computational phylogenetics

Abstract

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