免疫遗传学群体数据的分析方法。
Analytical methods for immunogenetic population data.
作者信息
Mack Steven J, Gourraud Pierre-Antoine, Single Richard M, Thomson Glenys, Hollenbach Jill A
机构信息
Center for Genetics, Children's Hospital and Research Center Oakland, Oakland, CA, USA.
出版信息
Methods Mol Biol. 2012;882:215-44. doi: 10.1007/978-1-61779-842-9_13.
In this chapter, we describe analyses commonly applied to immunogenetic population data, along with software tools that are currently available to perform those analyses. Where possible, we focus on tools that have been developed specifically for the analysis of highly polymorphic immunogenetic data. These analytical methods serve both as a means to examine the appropriateness of a dataset for testing a specific hypothesis, as well as a means of testing hypotheses. Rather than treat this chapter as a protocol for analyzing any population dataset, each researcher and analyst should first consider their data, the possible analyses, and any available tools in light of the hypothesis being tested. The extent to which the data and analyses are appropriate to each other should be determined before any analyses are performed.
在本章中，我们描述了通常应用于免疫遗传学群体数据的分析方法，以及目前可用于执行这些分析的软件工具。在可能的情况下，我们重点关注专门为分析高度多态的免疫遗传学数据而开发的工具。这些分析方法既作为检验数据集是否适合检验特定假设的一种手段，也作为检验假设的一种手段。本章并非要将其作为分析任何群体数据集的方案，每位研究人员和分析师都应首先根据所检验的假设来考虑他们的数据、可能的分析方法以及任何可用工具。在进行任何分析之前，都应确定数据与分析方法相互适配的程度。
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