Our research interests are broadly involved in the development of statistical and computational methods for the (genetic) improvement of populations through more accurate, efficient, and biologically meaningful analysis. We have focused on the use of phenomics, genomics, pedigree, and other sources of big data in various species to better predict desired traits. These endeavours include
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genotype = get_genotypes("genotypes.csv") pedigree = get_pedigree("pedigree.csv") model = build_model("y = intercept + ID + genotype") set_random(model,"ID",pedigree) out = runMCMC(model,phenotypes)
#simulate sequence data and pedigree structures build_genome(numChr,chrLength,nLoci,nQTL) sires = sampleFounders(nfounders) dams = sampleFounders(nfounders) sires1,dams1,gen1 = sampleRan(popSize, ngen, sires, dams)
#Optimizing Sequencing Resources in Genotyped Populations LPChoose("data.csv",ninds)
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