Cargando…
A Bayesian Outlier Criterion to Detect SNPs under Selection in Large Data Sets
BACKGROUND: The recent advent of high-throughput SNP genotyping technologies has opened new avenues of research for population genetics. In particular, a growing interest in the identification of footprints of selection, based on genome scans for adaptive differentiation, has emerged. METHODOLOGY/PR...
Autores principales: | Gautier, Mathieu, Hocking, Toby Dylan, Foulley, Jean-Louis |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2914027/ https://www.ncbi.nlm.nih.gov/pubmed/20689851 http://dx.doi.org/10.1371/journal.pone.0011913 |
Ejemplares similares
-
Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models
por: Liu, Qin, et al.
Publicado: (2022) -
SNP Mining in Crassostrea gigas EST Data: Transferability to Four Other Crassostrea Species, Phylogenetic Inferences and Outlier SNPs under Selection
por: Zhong, Xiaoxiao, et al.
Publicado: (2014) -
A whole genome Bayesian scan for adaptive genetic divergence in West African cattle
por: Gautier, Mathieu, et al.
Publicado: (2009) -
Outliers in statistical data
por: Barnett, Vic, et al.
Publicado: (1974) -
A criterion for measuring the degree of connectedness in linear models of genetic evaluation
por: Foulley, JL, et al.
Publicado: (1992)