Cargando…
An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loops
BACKGROUND: Marginal posterior genotype probabilities need to be computed for genetic analyses such as geneticcounseling in humans and selective breeding in animal and plant species. METHODS: In this paper, we describe a peeling based, deterministic, exact algorithm to compute efficiently genotype p...
Autores principales: | Totir, Liviu R, Fernando, Rohan L, Abraham, Joseph |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2801663/ https://www.ncbi.nlm.nih.gov/pubmed/19958551 http://dx.doi.org/10.1186/1297-9686-41-52 |
Ejemplares similares
-
Sampling genotypes in large pedigrees with loops
por: Fernández, Soledad A, et al.
Publicado: (2001) -
Improved techniques for sampling complex pedigrees with the Gibbs sampler
por: Abraham, K Joseph, et al.
Publicado: (2007) -
Irreducibility and efficiency of ESIP to sample marker genotypes in large pedigrees with loops
por: Fernández, Soledad A, et al.
Publicado: (2002) -
A comparison of alternative methods to compute conditional genotype probabilities for genetic evaluation with finite locus models
por: Totir, Liviu R, et al.
Publicado: (2003) -
The effect of linkage on the additive by additive covariance between relatives(1)
por: Totir, Liviu R, et al.
Publicado: (1998)