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

Vinzent Boerner; Bruce Tier

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

Vinzent Boerner
, Bruce Tier

Animal Genetics and Breeding Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Association for the Advancement of Animal Breeding and Genetics
Editors	Kim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Place of Publication	Armidale, Australia
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Pages	390-392
Volume	21
ISBN (Print)	9780646945545
Publication status	Published - 2015
Event	AAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics - Lorne, Australia Duration: 28 Sept 2015 → 30 Sept 2015

Conference

Conference	AAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Lorne, Australia
Period	28/09/15 → 30/09/15

Keywords

Animal Breeding

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Boerner, V., & Tier, B. (2015). BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data. In K. Bunter, T. Byrne, H. Daetwyler, S. Hermesch, K. Kemper, J. Kijas, D. Nation, W. Pitchford, S. Rowe, M. Shaffer, & A. van Eenennaam (Eds.), Proceedings of the Association for the Advancement of Animal Breeding and Genetics (Vol. 21, pp. 390-392). Association for the Advancement of Animal Breeding and Genetics (AAABG). http://www.aaabg.org/aaabghome/AAABG21papers/Boerner21390.pdf

Boerner, Vinzent ; Tier, Bruce. / BESSiE : A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data. Proceedings of the Association for the Advancement of Animal Breeding and Genetics. editor / Kim Bunter ; Tim Byrne ; Hans Daetwyler ; Susanne Hermesch ; Kathryn Kemper ; James Kijas ; David Nation ; Wayne Pitchford ; Suzanne Rowe ; Matt Shaffer ; Alison van Eenennaam. Vol. 21 Armidale, Australia : Association for the Advancement of Animal Breeding and Genetics (AAABG), 2015. pp. 390-392

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

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.",

keywords = "Animal Breeding",

author = "Vinzent Boerner and Bruce Tier",

year = "2015",

language = "English",

isbn = "9780646945545",

volume = "21",

pages = "390--392",

editor = "Kim Bunter and Tim Byrne and Hans Daetwyler and Susanne Hermesch and Kathryn Kemper and James Kijas and David Nation and Wayne Pitchford and Suzanne Rowe and Matt Shaffer and \{van Eenennaam\}, Alison",

booktitle = "Proceedings of the Association for the Advancement of Animal Breeding and Genetics",

publisher = "Association for the Advancement of Animal Breeding and Genetics (AAABG)",

note = "AAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 28-09-2015 Through 30-09-2015",

}

Boerner, V & Tier, B 2015, BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data. in K Bunter, T Byrne, H Daetwyler, S Hermesch, K Kemper, J Kijas, D Nation, W Pitchford, S Rowe, M Shaffer & A van Eenennaam (eds), Proceedings of the Association for the Advancement of Animal Breeding and Genetics. vol. 21, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 390-392, AAABG 2015: 21st Conference of the Association for the Advancement of Animal Breeding and Genetics, Lorne, Australia, 28/09/15. <http://www.aaabg.org/aaabghome/AAABG21papers/Boerner21390.pdf>

BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data. / Boerner, Vinzent; Tier, Bruce.
Proceedings of the Association for the Advancement of Animal Breeding and Genetics. ed. / Kim Bunter; Tim Byrne; Hans Daetwyler; Susanne Hermesch; Kathryn Kemper; James Kijas; David Nation; Wayne Pitchford; Suzanne Rowe; Matt Shaffer; Alison van Eenennaam. Vol. 21 Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), 2015. p. 390-392.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Boerner, Vinzent

AU - Tier, Bruce

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Animal Breeding

UR - http://www.aaabg.org/aaabghome/proceedings21.php

M3 - Conference contribution

SN - 9780646945545

VL - 21

SP - 390

EP - 392

BT - Proceedings of the Association for the Advancement of Animal Breeding and Genetics

A2 - Bunter, Kim

A2 - Byrne, Tim

A2 - Daetwyler, Hans

A2 - Hermesch, Susanne

A2 - Kemper, Kathryn

A2 - Kijas, James

A2 - Nation, David

A2 - Pitchford, Wayne

A2 - Rowe, Suzanne

A2 - Shaffer, Matt

A2 - van Eenennaam, Alison

PB - Association for the Advancement of Animal Breeding and Genetics (AAABG)

CY - Armidale, Australia

Y2 - 28 September 2015 through 30 September 2015

ER -

Boerner V, Tier B. BESSiE: A Program for Multivariate Linear Model BLUP and Bayesian Analysis of Large Scale Genomic Data. In Bunter K, Byrne T, Daetwyler H, Hermesch S, Kemper K, Kijas J, Nation D, Pitchford W, Rowe S, Shaffer M, van Eenennaam A, editors, Proceedings of the Association for the Advancement of Animal Breeding and Genetics. Vol. 21. Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG). 2015. p. 390-392

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

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