串联质谱法产生的蛋白质组学数据的分析与验证
Analysis and validation of proteomic data generated by tandem mass spectrometry.
作者信息
Nesvizhskii Alexey I, Vitek Olga, Aebersold Ruedi
机构信息
University of Michigan, Department of Pathology and Center for Computational Medicine and Biology, Ann Arbor, Michigan 48105, USA.
出版信息
Nat Methods. 2007 Oct;4(10):787-97. doi: 10.1038/nmeth1088.
The analysis of the large amount of data generated in mass spectrometry-based proteomics experiments represents a significant challenge and is currently a bottleneck in many proteomics projects. In this review we discuss critical issues related to data processing and analysis in proteomics and describe available methods and tools. We place special emphasis on the elaboration of results that are supported by sound statistical arguments.
对基于质谱的蛋白质组学实验中产生的大量数据进行分析是一项重大挑战，目前也是许多蛋白质组学项目的瓶颈。在本综述中，我们讨论了与蛋白质组学数据处理和分析相关的关键问题，并描述了可用的方法和工具。我们特别强调对结果的阐述要有可靠的统计学依据支持。
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