计算生物学
核糖核酸
计算机科学
串联质谱法
软件
过程(计算)
质谱法
生物
数据科学
化学
遗传学
色谱法
基因
操作系统
程序设计语言
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 225-239
标识
DOI:10.1007/978-1-0716-2962-8_15
摘要
Mass spectrometry is an ideal method for the discovery and characterization of modified RNAs. Unlike other traditional sequencing methods, mass spectrometry can identify and localize multiple types of modifications in tandem. One of the traditional hurdles to using this powerful technique has been a paucity of software to interpret the complicated data produced by these experiments. Here I describe how to use the NucleicAcidSearchEngine (NASE), a component of OpenMS as well as best practices for acquiring RNA data, and potential pitfalls in the analysis process.
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