DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics

Per Madsen; Just Jensen; Rodrigo Labouriau; Ole Fredslund Christensen; Goutam Sahana

DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics

Per Madsen, Just Jensen, Rodrigo Labouriau, Ole Fredslund Christensen, Goutam Sahana

Research output: Contribution to conference › Paper › Research › peer-review

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Abstract

The DMU-package for Analyzing Multivariate Mixed Models has been developed over a period of more than 25 years. This paper gives an overview of new features and the recent developments around the DMU-package, including: Genomic prediction (SNP-BLUP, G-BLUP and “One-Step”), Genome-wide association studies, Survival models and double hierarchical generalized linear mixed models

Original language	English
Publication date	17 Aug 2014
Number of pages	3
Publication status	Published - 17 Aug 2014
Event	10th World Congress on Genetics Applied to Livestock Production (WCGALP) - The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4, Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 Conference number: 10th

Conference

Conference	10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Number	10th
Location	The Westin Bayshore, 1601 Bayshore Drive, Vancouver, BC V6G 2V4
Country/Territory	Canada
City	Vancouver
Period	17/08/2014 → 22/08/2014

Keywords

genomic
survival-analysis
DHGLM

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PaperFinal published version, 305 KB

https://event.crowdcompass.com/wcgalp2014#/activity/5tSDu1wL58

10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Meier, K. (Participant)
17 Aug 2014 → 22 Aug 2014
Activity: Participating in or organising an event types › Participation in or organisation af a conference
10th World Congress on Genetics Applied to Livestock Production (WCGALP)
Madsen, P. (Participant)
17 Aug 2014 → 22 Aug 2014
Activity: Participating in or organising an event types › Participation in or organisation af a conference

Cite this

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title = "DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics",

abstract = "The DMU-package for Analyzing Multivariate Mixed Models has been developed over a period of more than 25 years. This paper gives an overview of new features and the recent developments around the DMU-package, including: Genomic prediction (SNP-BLUP, G-BLUP and “One-Step”), Genome-wide association studies, Survival models and double hierarchical generalized linear mixed models",

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author = "Per Madsen and Just Jensen and Rodrigo Labouriau and Christensen, {Ole Fredslund} and Goutam Sahana",

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AU - Madsen, Per

AU - Jensen, Just

AU - Labouriau, Rodrigo

AU - Christensen, Ole Fredslund

AU - Sahana, Goutam

N1 - Conference code: 10th

PY - 2014/8/17

Y1 - 2014/8/17

N2 - The DMU-package for Analyzing Multivariate Mixed Models has been developed over a period of more than 25 years. This paper gives an overview of new features and the recent developments around the DMU-package, including: Genomic prediction (SNP-BLUP, G-BLUP and “One-Step”), Genome-wide association studies, Survival models and double hierarchical generalized linear mixed models

AB - The DMU-package for Analyzing Multivariate Mixed Models has been developed over a period of more than 25 years. This paper gives an overview of new features and the recent developments around the DMU-package, including: Genomic prediction (SNP-BLUP, G-BLUP and “One-Step”), Genome-wide association studies, Survival models and double hierarchical generalized linear mixed models

KW - genomic

KW - survival-analysis

KW - DHGLM

M3 - Paper

T2 - 10th World Congress on Genetics Applied to Livestock Production (WCGALP)

Y2 - 17 August 2014 through 22 August 2014

ER -

DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics

Abstract

Conference

Keywords

Access to Document

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Activities

10th World Congress on Genetics Applied to Livestock Production (WCGALP)

10th World Congress on Genetics Applied to Livestock Production (WCGALP)

Cite this