title: GenoMatrix: A Software Package for Pedigree-Based and Genomic Prediction Analyses on Complex Traits.
abstract: Genomic and pedigree-based best linear unbiased prediction methodologies (G-BLUP and P-BLUP) have proven themselves efficient for partitioning the phenotypic variance of complex traits into its components, estimating the individuals' genetic merits, and predicting unobserved (or yet-to-be observed) phenotypes in many species and fields of study. The GenoMatrix software, presented here, is a user-friendly package to facilitate the process of using genome-wide marker data and parentage information for G-BLUP and P-BLUP analyses on complex traits. It provides users with a collection of applications which help them on a set of tasks from performing quality control on data to constructing and manipulating the genomic and pedigree-based relationship matrices and obtaining their inverses. Such matrices will be then used in downstream analyses by other statistical packages. The package also enables users to obtain predicted values for unobserved individuals based on the genetic values of observed related individuals. GenoMatrix is available to the research community as a Windows 64bit executable and can be downloaded free of charge at: http://compbio.ufl.edu/software/genomatrix/.
authors.affiliation: From the School of Forest Resources and Conservation, University of Florida, 363 Newins-Ziegler Hall P.O. Box 110410, Gainesville, FL 32611-0410 (Nazarian and Gezan).
authors.forename: Alireza
authors.initials: A
authors.lastname: Nazarian
authors.affiliation: From the School of Forest Resources and Conservation, University of Florida, 363 Newins-Ziegler Hall P.O. Box 110410, Gainesville, FL 32611-0410 (Nazarian and Gezan). sgezan@ufl.edu.
authors.forename: Salvador Alejandro
authors.initials: SA
authors.lastname: Gezan
mesh_terms: D000465:Algorithms; D023281:Genomics / Q000379:methods*; D008957:Models, Genetic; D010375:Pedigree; D019655:Quantitative Trait, Heritable; D012984:Software; D064878:Web Browser
keywords: G-BLUP analysis; P-BLUP analysis; complex traits; genome-wide marker data; software