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.pdf |
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 | Statistics to Oct 2018: | Visitors: 138 |
|---|---|
| Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Conference Publication |
Files in This Item:
| File | Description | Size | Format |
|---|
Page view(s)
78
checked on May 3, 2019
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.