Analytical methods for immunogenetic population data.

Analytical methods for immunogenetic population data.
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免疫遗传学群体数据的分析方法。

DOI:
10.1007/978-1-61779-842-9_13
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发表时间:
2012
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
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通讯作者:
Hollenbach,JillA
Hollenbach,JillA
中科院分区:
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文献类型:
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作者:
Mack,StevenJ;Gourraud,Pierre-Antoine;Single,RichardM;Thomson,Glenys;Hollenbach,JillA

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在本章中,我们描述了通常应用于免疫遗传群体数据的分析,沿着目前可用于执行这些分析的软件工具。在可能的情况下,我们专注于专门为分析高度多态性的免疫遗传学数据而开发的工具。这些分析方法既是检验数据集是否适合检验特定假设的手段,也是检验假设的手段。与其将本章视为分析任何人口数据集的协议,每个研究人员和分析人员都应该首先考虑他们的数据,可能的分析以及任何可用的工具,以检验假设。在进行任何分析之前,应确定数据和分析相互适合的程度。
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.