协议(科学)
选择(遗传算法)
终端(电信)
计算生物学
计算机科学
鉴定(生物学)
数据挖掘
化学
生物
人工智能
医学
计算机网络
植物
病理
替代医学
作者
Rawad Hanna,Andrey Rozenberg,T. Lavy,Oded Kleifeld
出处
期刊:Methods in Enzymology
日期:2023-01-01
卷期号:: 1-28
被引量:1
标识
DOI:10.1016/bs.mie.2023.04.003
摘要
The field of N-terminomics has been advancing with the development of novel methods that provide a comprehensive and unbiased view of the N-terminome. Negative selection N-terminomics enables the identification of free and naturally modified protein N-termini. Here, we present a streamlined protocol that combines two negative selection N-terminomics methods, LATE and HYTANE, to increase N-terminome coverage by 1.5-fold compared to using a single methodology. Our protocol includes sample preparation and data analysis of both methods and can be applied to studying the N-terminome of diverse samples. The suggested approach enables researchers to achieve a more detailed and accurate understanding of the N-terminome.
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