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复杂性状基因组预测的主要计算机软件包概述。

Overview of Major Computer Packages for Genomic Prediction of Complex Traits.

作者信息

Covarrubias-Pazaran Giovanny

机构信息

Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Texcoco, Mexico.

Excellence in Breeding Platform (EiB), Texcoco, Mexico.

出版信息

Methods Mol Biol. 2022;2467:157-187. doi: 10.1007/978-1-0716-2205-6_6.

Abstract

Genomic prediction models are showing their power to increase the rate of genetic gain by boosting all the elements of the breeder's equation. Insight into the factors associated with the successful implementation of this prediction model is increasing with time but the technology has reached a stage of acceptance. Most genomic prediction models require specialized computer packages based mainly on linear models and related methods. The number of computer packages has exploded in recent years given the interest in this technology. In this chapter, we explore the main computer packages available to fit these models; we also review the special features, strengths, and weaknesses of the methods behind the most popular computer packages.

摘要

基因组预测模型正展现出其通过提升育种家方程的所有要素来提高遗传增益速率的能力。随着时间的推移,人们对与该预测模型成功实施相关因素的认识不断加深,且这项技术已达到被广泛接受的阶段。大多数基因组预测模型需要主要基于线性模型及相关方法的专业计算机软件包。鉴于对该技术的兴趣,近年来计算机软件包的数量激增。在本章中,我们探讨了可用于拟合这些模型的主要计算机软件包;我们还回顾了最流行计算机软件包背后方法的特殊功能、优势和劣势。

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