Your browser doesn't support javascript.
loading
Big cat phylogenies, consensus trees, and computational thinking.
Sul, Seung-Jin; Williams, Tiffani L.
Afiliación
  • Sul SJ; J. Craig Venter Institute, Rockville, Maryland, USA.
J Comput Biol ; 18(7): 895-906, 2011 Jul.
Article en En | MEDLINE | ID: mdl-21563975
ABSTRACT
Phylogenetics seeks to deduce the pattern of relatedness between organisms by using a phylogeny or evolutionary tree. For a given set of organisms or taxa, there may be many evolutionary trees depicting how these organisms evolved from a common ancestor. As a result, consensus trees are a popular approach for summarizing the shared evolutionary relationships in a group of trees. We examine these consensus techniques by studying how the pantherine lineage of cats (clouded leopard, jaguar, leopard, lion, snow leopard, and tiger) evolved, which is hotly debated. While there are many phylogenetic resources that describe consensus trees, there is very little information, written for biologists, regarding the underlying computational techniques for building them. The pantherine cats provide us with a small, relevant example to explore the computational techniques (such as sorting numbers, hashing functions, and traversing trees) for constructing consensus trees. Our hope is that life scientists enjoy peeking under the computational hood of consensus tree construction and share their positive experiences with others in their community.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Biología Computacional / Panthera / Modelos Genéticos Límite: Animals Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Biología Computacional / Panthera / Modelos Genéticos Límite: Animals Idioma: En Revista: J Comput Biol Asunto de la revista: BIOLOGIA MOLECULAR / INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos