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regioneReloaded:评估多个基因组区域集的关联

Roberto Malinverni¹, David Corujo¹, Bernat Gel²

¹Program of Myeloid Neoplasms, Program of Applied Epigenetics, Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti Site, Badalona 08916, Spain.

Bioinformatics (Oxford, England)

|November 21, 2023

概括

新的R包RegioneReloaded通过同时评估和可视化多个基因组区域之间的关联来增强基因组分析. 该工具有助于识别功能相互依赖测试的重要关联.

科学领域:

基因组学就是基因组学.
表观基因组学是指表观基因组学.
生物信息学是一种生物信息学.

背景情况:

下一代测序通过识别表观遗传标记分布来推进基因组注释.
分析基因组区域和特征之间的关联在表观基因组研究中至关重要,但具有挑战性.

研究的目的:

推出regioneReloaded,一个扩展regioneR能力的R包.
为同时分析和可视化多个基因组区域集协会提供一个工具.
为了促进功能相互依赖测试的显著关联的发现.

主要方法:

使用排列测试进行统计学显著性评估.
扩大了RegioneR包的统计基础.
能够同时分析和可视化多个基因组区域集.

主要成果:

介绍RegioneReloaded,一个用于高级基因组区域分析的R包.
为评估基因组区域之间的多个对联关联提供了增强的功能.
提供了一种新的发现工具,用于识别功能上相互依赖的基因组区域.

结论:

regioneReloaded是一个有价值的R包,用于全面的基因组区域关联研究.
该软件包有助于识别多个基因组数据集中的复杂关系.
它是基因组学和表观基因组学研究人员的一种强大工具.

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