GIGA: a simple, efficient algorithm for gene tree inference in the genomic age.

ABSTRACT:

Background

Phylogenetic relationships between genes are not only of theoretical interest: they enable us to learn about human genes through the experimental work on their relatives in numerous model organisms from bacteria to fruit flies and mice. Yet the most commonly used computational algorithms for reconstructing gene trees can be inaccurate for numerous reasons, both algorithmic and biological. Additional information beyond gene sequence data has been shown to improve the accuracy of reconstructions, though at great computational cost.

Results

We describe a simple, fast algorithm for inferring gene phylogenies, which makes use of information that was not available prior to the genomic age: namely, a reliable species tree spanning much of the tree of life, and knowledge

SUBMITTER: Thomas PD 

PROVIDER: S-EPMC2905364 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature