Rehh An R package to detect footprints of selection in genome-wide SNP data from haplotype structure

Bioinformatics

Volumn 28, Issue 8, 2012, Pages 1176-1177

  Gautier, Mathieu ^a   Vitalis, Renaud ^b  

^a INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; CATTLE; COMPUTER PROGRAM; GENETIC ASSOCIATION; HAPLOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; CATTLE; GENOME-WIDE ASSOCIATION STUDY; HAPLOTYPES; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 84859755518     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/bts115     Document Type: Article

References (6)

1. Gautier, M. and Naves, M. (2011) Footprints of selection in the ancestral admixture of a new world creole cattle breed. Mol. Ecol., 20, 3128-3143.
2. R Development Core Team. (2008) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.
3. Sabeti, P.C. et al. (2002) Detecting recent positive selection in the human genome from haplotype structure. Nature, 419, 832-837.
4. Scheet, P. and Stephens, M. (2006) A fast and flexible statistical model for largescale population genotype data: applications to inferring missing genotypes and haplotypic phase. Am. J. Hum. Genet., 78, 629-644.
5. Tang, K., et al. (2007) A new approach for using genome scans to detect recent positive selection in the human genome. PLoS Biol., 5, e171.
6. Voight, B.F. et al. (2006)Amap of recent positive selection in the human genome. PLoS Biol., 4, e72.