大规模MS数据集的分析:戏剧性和乐趣

Keiryn L. Bennett, Jan C. Brønd, Dan B. Kristensen, Alexandre V. Podtelejnikov, Jacek R. Wisniewski
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引用次数: 4

摘要

生物技术和制药行业正面临着整合高通量蛋白质组学应用产生的大量数据的严峻挑战。数据验证和将获得的信息置于健全的生物学环境中的瓶颈问题迫切需要解决。在此,我们回顾了液相色谱质谱分析产生的大量数据时出现的问题,提供了数据管理的潜在解决方案,并预测了质谱分析大规模数据分析的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of large-scale MS data sets: the dramas and the delights

The biotechnology and pharmaceutical industries are faced with the serious challenge of consolidating the enormous quantities of data that have been generated from high-throughput proteomic applications. The bottleneck of data validation and placement of the information obtained into sound biological context urgently needs to be addressed. Here, we review the issues that arise when analysing large quantities of data generated by liquid chromatography mass spectrometry, offer potential solutions for data management and predict the future direction of large-scale data analysis by mass spectrometry.

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