计算生物学
核糖核酸
核酸酶
核酸外切酶
DNA
核糖核酸酶H
核酸
生物
计算机科学
循环(图论)
核糖核酸酶P
核酸外切酶 III
遗传学
数据挖掘
基因
聚合酶
数学
大肠杆菌
组合数学
作者
Pramiti Mukhopadhyay,Henry E. Miller,Aiola Stoja,Alexander J.R. Bishop
摘要
R-loops are nucleic acid structures composed of a DNA:RNA hybrid with a displaced non-template single-stranded DNA. Current approaches to identify and map R-loop formation across the genome employ either an antibody targeted against R-loops (S9.6) or a catalytically inactivated form of RNase H1 (dRNH1), a nuclease that can bind and resolve DNA:RNA hybrids via RNA exonuclease activity. This overview article outlines several ways to map R-loops using either methodology, explaining the differences and similarities among the approaches. Bioinformatic analysis of R-loops involves several layers of quality control and processing before visualizing the data. This article provides resources and tools that can be used to accurately process R-loop mapping data and explains the advantages and disadvantages of the resources as compared to one another. © 2024 Wiley Periodicals LLC.
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