title: Phylogenetic--evolutionary approaches to bioinformatics.
abstract: Phylogenies of organisms are essential to investigating a range of evolutionary questions of interest to researchers in the field of bioinformatics. Phylogenies not only help to define how to study many evolutionary questions, they must also be taken into account when conducting statistical analyses. Here it is shown how phylogenies can be used to investigate variability along the sites of a gene, reconstruct ancestral states of ancient genes and proteins, identify and characterise events of parallel and convergent evolution, find events of gene duplication, analyse predictions from molecular clocks, seek evidence for correlated changes among different parts of the same gene or genome, and test theories of molecular evolution. A table of statistical and phylogenetic methods is presented.
authors.affiliation: School of Animal and Microbial Sciences, University of Reading, UK. m.pagel@reading.ac.uk
authors.forename: M
authors.initials: M
authors.lastname: Pagel
mesh_terms: D000818:Animals; D001483:Base Sequence; D019295:Computational Biology; D004247:DNA / Q000235:genetics; D019143:Evolution, Molecular; D020440:Gene Duplication; D014644:Genetic Variation; D006801:Humans; D008957:Models, Genetic; D016366:Open Reading Frames; D010802:Phylogeny; D011328:Prions / Q000235:genetics; D012260:Ribonucleases / Q000235:genetics; D013997:Time Factors
chemical_list: D011328:Prions; D004247:DNA; D012260:Ribonucleases