蛋白质修饰鉴定的数据分析策略

Data Analysis Strategies for Protein Modification Identification.

作者信息

Fu Yan

机构信息

National Center for Mathematics and Interdisciplinary Sciences, Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Zhongguancun East Road 55, Beijing, 100190, China.

出版信息

Methods Mol Biol. 2016;1362:265-75. doi: 10.1007/978-1-4939-3106-4_17.

DOI:10.1007/978-1-4939-3106-4_17

PMID:26519183

Abstract

Mass spectrometry-based proteomics provides a powerful tool for large-scale analysis of protein modifications. Statistical and computational analysis of mass spectrometry data is a key step in protein modification identification. This chapter presents common and advanced data analysis strategies for modification identification, including variable modification search, unrestrictive approaches for modification discovery, false discovery rate estimation and control methods, and tools for modification site localization.

摘要

基于质谱的蛋白质组学为蛋白质修饰的大规模分析提供了一个强大的工具。质谱数据的统计和计算分析是蛋白质修饰鉴定的关键步骤。本章介绍了用于修饰鉴定的常见和先进的数据分析策略，包括可变修饰搜索、修饰发现的无限制方法、错误发现率估计和控制方法以及修饰位点定位工具。