Nazarian Alireza, Gezan Salvador Alejandro
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).
J Hered. 2016 Jul;107(4):372-9. doi: 10.1093/jhered/esw020. Epub 2016 Mar 29.
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/.
基于基因组和系谱的最佳线性无偏预测方法(G-BLUP和P-BLUP)已证明自身在将复杂性状的表型变异分解为其组成部分、估计个体的遗传价值以及预测许多物种和研究领域中未观察到(或尚未观察到)的表型方面是有效的。本文介绍的GenoMatrix软件是一个用户友好的软件包,便于在复杂性状的G-BLUP和P-BLUP分析中使用全基因组标记数据和亲子关系信息。它为用户提供了一系列应用程序,帮助他们完成从数据质量控制到构建和操作基于基因组和系谱的关系矩阵以及求逆等一系列任务。然后,其他统计软件包将在下游分析中使用这些矩阵。该软件包还使用户能够根据观察到的相关个体的遗传值获得未观察到个体的预测值。GenoMatrix作为Windows 64位可执行文件提供给研究界,可从以下网址免费下载:http://compbio.ufl.edu/software/genomatrix/ 。