Journal article

PyEvolve: a toolkit for statistical modelling of molecular evolution

A Butterfield, V Vedagiri, E Lang, C Lawrence, MJ Wakefield, A Isaev, GA Huttley

BMC BIOINFORMATICS | BIOMED CENTRAL LTD | Published : 2004

Abstract

BACKGROUND: Examining the distribution of variation has proven an extremely profitable technique in the effort to identify sequences of biological significance. Most approaches in the field, however, evaluate only the conserved portions of sequences - ignoring the biological significance of sequence differences. A suite of sophisticated likelihood based statistical models from the field of molecular evolution provides the basis for extracting the information from the full distribution of sequence variation. The number of different problems to which phylogeny-based maximum likelihood calculations can be applied is extensive. Available software packages that can perform likelihood calculations..

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