BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data

Author(s)
Boerner, Vinzent
Tier, Bruce
Publication Date
2015
Abstract
BESSiE is a software designed for uni- and multivariate analysis of linear mixed models including large scale genomic data. BESSiE facilitates models allowing for various fixed and random effects, and for observations on continuous or categorical scales, and implements different Bayesian algorithms for the prediction of effects of genetic markers (e.g. BayesA, BayesB, BayesCπ and BayesR), GBLUP and SNP-BLUP.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.21, p. 390-392
ISBN
9780646945545
ISSN
1328-3227
Link
https://hdl.handle.net/1959.11/19037
Language
en
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data
Type of document
Conference Publication
Entity Type
Publication

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