Subtree power analysis finds optimal species for comparative genomics
|
Descargar SCORM
Este recurso ha sido solicitado 1 veces (0 veces en los últimos 31 días).
Para poder solicitar este recurso debe identificarse como usuario de la biblioteca
|
| |
Ver
Detalles del recurso
|
|
|
Subtree power analysis finds optimal species for comparative genomics
|
| Id. |
20880372 |
| Titulo |
Subtree power analysis finds optimal species for comparative genomics |
| Autor(es) |
McAuliffe, Jon D.
Jordan, Michael I.
Pachter, Lior
|
| Localización |
http://arxiv.org/abs/q-bio/0412012
|
| Versión |
1.0 |
| Estado |
Final
|
| Descripción |
Sequence comparison across multiple organisms aids in the detection of
regions under selection. However, resource limitations require a prioritization
of genomes to be sequenced. This prioritization should be grounded in two
considerations: the lineal scope encompassing the biological phenomena of
interest, and the optimal species within that scope for detecting functional
elements. We introduce a statistical framework for optimal species subset
selection, based on maximizing power to detect conserved sites. In a study of
vertebrate species, we show that the optimal species subset is not in general
the most evolutionarily diverged subset. Our results suggest that marsupials
are prime sequencing candidates.
|
| Palabras clave |
Quantitative Biology - Genomics
|
| Tipo de recurso |
Texto Narrativo
|
| Tipo de Interactividad |
Expositivo
|
| Nivel de Interactividad |
muy bajo
|
| Audiencia |
Estudiante
Profesor
Autor
|
| Estructura |
Atomic |
| Coste |
no
|
| Copyright |
sí
|
| Requerimientos técnicos |
Browser: Any
|
| Fecha de contribución |
28-mar-2007 |
| Contacto |
|
|
|
|
|
Valoración de los usuarios
No hay ninguna valoración para este recurso. Sea el primero en
valorar este recurso.
|
|
|
|
