Resource data
Subtree power analysis finds optimal species for comparative genomics
McAuliffe, Jon D. Jordan, Michael I. Pachter, Lior
Location:
http://arxiv.org/abs/q-bio/0412012
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.
Belongs to: arXiv
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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 |
| Location |
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 |
|
|