Gene expression informatics - it's all in your mine

被引:271
作者
Bassett, DE [1 ]
Eisen, MB
Boguski, MS
机构
[1] Rosetta Inpharmat, Kirkland, WA 98034, Australia
[2] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA
[3] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20894 USA
关键词
D O I
10.1038/4478
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Technologies for whole-genome RNA expression studies are becoming increasingly reliable and accessible. However, universal standards to make the data more suitable for comparative analysis and for inter-operability with other information resources have yet to emerge. Improved access to large electronic data sets, reliable and consistent annotation and effective tools for 'data mining' are critical. Analysis methods that exploit large data warehouses of gene expression experiments will be necessary to realize the full potential of this technology.
引用
收藏
页码:51 / 55
页数:5
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