Fischer Daniel
Applied Statistical Methods, Natural Resources Institute Finland (Luke), Jokioinen, Finland.
Methods Mol Biol. 2020;2082:15-38. doi: 10.1007/978-1-0716-0026-9_2.
We present the R-package GenomicTools that can be used to perform QTL and eQTL analyses in a user-friendly way. First, the theoretical backgrounds of both implemented methods are explained. These are (a) the linear model approach that is commonly used in the standard QTL/eQTL testing as well as (b) a non-parametrical directional testing method implemented in GenomicTools. The directional test overcomes some of the drawbacks of the standard way and is robust against outliers in the data. The main focus, however, is on a detailed explanation, how the R-package is used in practice. Starting from the installation of the package, followed by the data import and also the required steps to perform the analyses, all necessary steps are explained in detail with examples. Also, the commands to create publication-ready figures are presented. The last chapter concludes and discusses general topics related to the analysis of QTL and eQTL data in particular and genomic data in general.
我们展示了R包GenomicTools,它可用于以用户友好的方式进行QTL和eQTL分析。首先,解释了两种实现方法的理论背景。这些方法包括:(a)标准QTL/eQTL测试中常用的线性模型方法,以及(b)GenomicTools中实现的非参数定向测试方法。定向测试克服了标准方法的一些缺点,并且对数据中的异常值具有鲁棒性。然而,主要重点是详细解释如何在实践中使用这个R包。从包的安装开始,接着是数据导入以及执行分析所需的步骤,所有必要步骤都通过示例进行了详细解释。此外,还介绍了创建可用于发表的图表的命令。最后一章总结并讨论了与QTL和eQTL数据分析特别是基因组数据分析相关的一般主题。