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
Abstract 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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