Cargando…
Detecting Genomic Signatures of Natural Selection with Principal Component Analysis: Application to the 1000 Genomes Data
To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis (PCA). We show that the common F(ST) index of genetic differentiation between pop...
Autores principales: | Duforet-Frebourg, Nicolas, Luu, Keurcien, Laval, Guillaume, Bazin, Eric, Blum, Michael G.B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776707/ https://www.ncbi.nlm.nih.gov/pubmed/26715629 http://dx.doi.org/10.1093/molbev/msv334 |
Ejemplares similares
-
Genome Scans for Detecting Footprints of Local Adaptation Using a Bayesian Factor Model
por: Duforet-Frebourg, Nicolas, et al.
Publicado: (2014) -
NONSTATIONARY PATTERNS OF ISOLATION-BY-DISTANCE: INFERRING MEASURES OF LOCAL GENETIC DIFFERENTIATION WITH BAYESIAN KRIGING
por: Duforet-Frebourg, Nicolas, et al.
Publicado: (2014) -
Efficient toolkit implementing best practices for principal component analysis of population genetic data
por: Privé, Florian, et al.
Publicado: (2020) -
HaploPOP: a software that improves population assignment by combining markers into haplotypes
por: Duforet-Frebourg, Nicolas, et al.
Publicado: (2015) -
Fast genomic μChIP-chip from 1,000 cells
por: Dahl, John Arne, et al.
Publicado: (2009)