Bioinformatics Challenges in Mass Spectrometry-Driven Proteomics
Bioinformatics Challenges in Mass Spectrometry-Driven Proteomics
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DOI：
10.1007/978-1-61779-148-2_24
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发表时间：
2011-01-01
期刊：
影响因子：
--
通讯作者：
Martens, Lennart
中科院分区：
文献类型：
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作者：
Martens, Lennart
基于质谱的蛋白质组学已成为生命科学分析工具箱的重要组成部分。由于能够以高通量识别和量化数百至数千种蛋白质，该领域为来自所谓组学领域的数据雪崩贡献了相当大的份额。因此，处理和管理这一数据洪流所面临的挑战也越来越大。本章将指出并讨论这些挑战，从将原始质谱数据处理成峰开始，到肽和蛋白质的鉴定，再到鉴定分子的定量。最后，信息学方面的新生领域的靶向蛋白质组学的概述。
Mass spectrometry-based proteomics has become an essential part of the analytical toolbox of the life sciences. With the ability to identify and quantify hundreds to thousands of proteins in high throughput, the field has contributed its Fair share to the data avalanche coming from the so-called omics fields. As a result, the challenges involved in processing and managing this flood of data have grown as well. This chapter will point out and discuss these challenges, starting from the processing of raw mass spectrometry data into peaks, over the identification of peptides and proteins, to the quantification of the identified molecules. Finally, the informatics aspects of the nascent field of targeted proteomics are outlined as well.