title: Datasets for evolutionary comparative genomics.
abstract: Many decisions about genome sequencing projects are directed by perceived gaps in the tree of life, or towards model organisms. With the goal of a better understanding of biology through the lens of evolution, however, there are additional genomes that are worth sequencing. One such rationale for whole-genome sequencing is discussed here, along with other important strategies for understanding the phenotypic divergence of species.
authors.affiliation: Computational Biology Unit, Bergen Centre for Computational Science, University of Bergen, 5020 Bergen, Norway. liberles@cbu.uib.no
authors.forename: David A
authors.initials: DA
authors.lastname: Liberles
mesh_terms: D000818:Animals; D023681:Cichlids / Q000235:genetics; D030541:Databases, Genetic; D019143:Evolution, Molecular; D023281:Genomics / Q000379:methods* / Q000639:trends; D010641:Phenotype; D010802:Phylogeny; D001503:Ursidae / Q000235:genetics