Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19037
Title: BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data
Contributor(s): Boerner, Vinzent  (author); Tier, Bruce  (author)
Publication Date: 2015
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/19037
Open Access Link: http://www.aaabg.org/aaabghome/AAABG21papers/Boerner21390.pdfOpen Access Link
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.
Publication Type: Conference Publication
Conference Details: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics, Lorne, Australia, 28th - 30th September, 2015
Source of Publication: Proceedings of the Twenty-first Conference of the Association for the Advancement of Animal Breeding and Genetics, p. 390-392
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Bundoora, Australia
Field of Research (FoR) 2008: 070201 Animal Breeding
Field of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2008: 830399 Livestock Raising not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.aaabg.org/aaabghome/proceedings21.php
Series Name: Proceedings of the AAABG ... Conference
Series Number : 21
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Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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