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IgGeneUsage: differential gene usage in immune repertoires.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-04-14 , DOI: 10.1093/bioinformatics/btaa174
Simo Kitanovski 1 , Daniel Hoffmann 1
Affiliation  

Decoding the properties of immune repertoires is key to understanding the adaptive immune response to challenges such as viral infection. One important quantitative property is differential usage of Ig genes between biological conditions. Yet, most analyses for differential Ig gene usage are performed qualitatively or with inadequate statistical methods. Here we introduce IgGeneUsage, a computational tool for the analysis of differential Ig gene usage. IgGeneUsage employs Bayesian inference with hierarchical models to analyze complex gene usage data from high-throughput sequencing experiments of immune repertoires. It quantifies differential Ig gene usage probabilistically and avoids some common problems related to the current practice of null-hypothesis significance testing.

中文翻译:

IgGeneUsage:免疫组库中差异基因的使用。

解码免疫库的属性是了解对诸如病毒感染等挑战的适应性免疫反应的关键。一种重要的定量性质是生物学条件之间Ig基因的差异使用。但是,大多数有关差异Ig基因使用情况的分析都是定性的或采用的统计方法不充分。在这里,我们介绍IgGeneUsage,这是一种用于分析Ig基因差异使用情况的计算工具。IgGeneUsage使用贝叶斯推理和层次模型来分析来自免疫库高通量测序实验的复杂基因使用数据。它可以概率地量化差异Ig基因的使用,并避免了一些与零假设重要性测试的当前实践相关的常见问题。
更新日期:2020-04-14
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