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

Title
BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data
Publication Date
2015
Author(s)
Boerner, Vinzent
Tier, Bruce
Editor
Editor(s): Kim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:19237
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.
Link
link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.21, p. 390-392
ISSN
1328-3227
ISBN
9780646945545
Start page
390
End page
392

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