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串联质谱产生的大规模蛋白质组学数据集的分析、统计验证与传播。

Analysis, statistical validation and dissemination of large-scale proteomics datasets generated by tandem MS.

作者信息

Nesvizhskii Alexey I, Aebersold Ruedi

机构信息

Institute for Systems Biology, 1441 N 34th Street, Seattle, WA 98103, USA.

出版信息

Drug Discov Today. 2004 Feb 15;9(4):173-81. doi: 10.1016/S1359-6446(03)02978-7.

DOI:10.1016/S1359-6446(03)02978-7
PMID:14960397
Abstract

Tandem mass spectrometry has been used increasingly for high-throughput analysis of complex protein samples. A major challenge lies in the consistent, objective and transparent analysis of the large amounts of data generated by such experiments and in their dissemination and publication. Here, we review currently available computational tools and discuss the need for statistical criteria in the analysis of large proteomics datasets.

摘要

串联质谱已越来越多地用于复杂蛋白质样品的高通量分析。一个主要挑战在于对这类实验产生的大量数据进行一致、客观和透明的分析,以及数据的传播和发表。在此,我们综述了目前可用的计算工具,并讨论了在大型蛋白质组学数据集分析中采用统计标准的必要性。

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