A novel parallel approach to the likelihood-based estimation of admixture in population genetics

Bioinformatics

Volumn 25, Issue 11, 2009, Pages 1440-1441

  Giovannini, Ambra ^a   Zanghirati, Gaetano ^a   Beaumont, Mark A ^b   Chikhi, Lounès ^c,d   Barbujani, Guido ^a  

^a UNIVERSITY OF FERRARA   (Italy)

^b UNIVERSITY OF READING   (United Kingdom)

^c INSTITUTO GULBENKIAN DE CIÊNCIA   (Portugal)

^d CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; CONSERVATION BIOLOGY; GENETIC DATABASE; MONTE CARLO METHOD; PARALLEL DESIGN; POPULATION GENETICS; PRIORITY JOURNAL; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; EVOLUTION, MOLECULAR; GENETICS, POPULATION; LIKELIHOOD FUNCTIONS; MONTE CARLO METHOD;

EID: 65649121520     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp136     Document Type: Article

References (3)

1. Belle,E.M. et al. (2006) Origins and evolution of the Europeans' genome: Evidence from multiple microsatellite loci. Proc. R. Soc. B Biol. Sci., 273, 1595-1602.
2. Chikhi,L. et al. (2001) Estimation of admixture proportions: A likelihood-based approach using Markov chain Monte Carlo. Genetics 158, 1347-1362.
3. Langella,O. et al. (2001). LEA (Likelihood-based Estimation of Admixture): A program to estimate simultaneously admixture and time since the admixture event. Mol. Ecol. Notes, 1, 357-358.