PPT-Computation of Large-Scale Genomic Evaluations

Author : min-jolicoeur | Published Date : 2016-07-26

Early genomic theory NejatiJavaremi et al 1997 tested use of genomic relationship matrix in BLUP Meuwissen et al 2001 tested linear and nonlinear estimation

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Computation of Large-Scale Genomic Evaluations: Transcript

Early genomic theory NejatiJavaremi et al 1997 tested use of genomic relationship matrix in BLUP Meuwissen et al 2001 tested linear and nonlinear estimation of haplotype effects. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . breed composition for crossbred U.S. dairy cattle . Introduction. Traditional evaluations are on all-breed base. Pedigree breed composition (PBC) has been computed, distributed, and used to calculate heterosis since we went to the all-breed model in . Abstract. Cloud computing economically enables customers with limited computational resources to outsource large-scale computations to the cloud. . However, how to protect customers’ confidential data involved in the computations then becomes a major security concern. In this paper, we present a secure outsourcing mechanism for solving large-scale systems of linear equations (LE) in cloud.. Comm. 301. Reasons for changes in SNP set. History. Single list created across breeds. Poor performing SNPs removed. SNP selection criteria changed. Updated assembly changed SNP locations. Additional QTLs as . A “big data” project of the . Animal Genomics and Improvement Laboratory (AGIL). AGIL mission. Discover and develop improved methods for the genetic and genomic evaluation of economically important traits of dairy animals and small ruminants. Abstract #461. Background - Crossbreeding. Harris and Johnson (2010) . used multibreed relationship matrix to obtain GEBVs in NZL. Olson et al (2010) . estimated MT multi-breed SNP effects and genomic breed composition. March 2012 AIPL Update Topics Genomics overview April 2012 changes Accounting for bias Selection index adjustments Cow adjustments Calving traits update Whole-genome selection Use many markers to track inheritance of chromosomal segments A “big data” project of the . Animal Genomics and Improvement Laboratory (AGIL). AGIL mission. Discover and develop improved methods for the genetic and genomic evaluation of economically important traits of dairy animals and small ruminants. George Wiggans, CDCB Technical Advisor. Highlights of U.S. system. Over half a million animals genotyped in 2016. 67% of AI breedings to genomic bulls. Genomic relationship between genotyped cows and marketed bulls available. Dairy Cattle. 9 million cows in US. Attempt to have a calf born every year. Replaced after 2 or 3 years of milking. Bred via AI. Bull semen collected several times/week. Diluted and frozen. Popular bulls have 10,000+ progeny. VOLUME 2 Anuj Kumar and Michael Snyder FUNCTIONAL GENOMICSThe development andsystematic application ofexperimental methodologies toanalyse gene function on agenome-wide Just a PC. Aapo Kyrölä . akyrola@cs.cmu.edu. Carlos . Guestrin. University of . Washington & CMU. Guy . Blelloch. CMU. Alex . Smola. CMU. Dave Andersen. CMU. Jure . Leskovec. Stanford. Thesis Committee:. Dr. Breno Fragomeni. Assistant Professor. Animal Science - UConn. Where are the labels?. Introduction . Why genomic prediction?. Higher accuracy. Shorter generation interval . Higher genetic gain. Genetic gain per year. biology – lessons from dairy cattle breeding. Dairy Cattle. 9 million cows in US. Attempt to have a calf born every year. Replaced after 2 or 3 years of milking. Bred via AI. Bull semen collected several times/week. Diluted and frozen.

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