Data integration: Challenges for drug discovery

被引：125
|
作者：
Searls, DB [1 ]
机构：
[1] GlaxoSmithKline, Bioinformat Div, Genet Res, King Of Prussia, PA 19406 USA
来源：
NATURE REVIEWS DRUG DISCOVERY | 2005年 / 4卷 / 01期
关键词：
D O I：
10.1038/nrd1608
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with modern platform technologies, managing increasingly complex discovery portfolios and processes, and fully realizing economies of scale in large enterprises. However, viewing data integration as simply an 'IT problem' underestimates the novel and serious scientific and management challenges it embodies - challenges that could require significant methodological and even cultural changes in our approach to data.
引用
收藏
页码：45 / 58
页数：14
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