Bioinformatics tools for whole genomes

被引:21
作者
Searls, DB [1 ]
机构
[1] SmithKline Beecham Pharmaceut, Bioinformat Dept, King Of Prussia, PA 19406 USA
关键词
genome analysis; algorithms; databases;
D O I
10.1146/annurev.genom.1.1.251
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The advent of whole-genome data resources-not only sequence but also other genome-scale data collections such as gene expression, protein interaction, and genetic variation-is having two marked, complementary effects on the relatively new discipline of bioinformatics. First, the veritable flood of data is creating a need and demand for new tools for dealing adequately with the deluge, and, second, the unprecedented extent, diversity, and impending completeness of the data sets are creating opportunities for new approaches to discovery based on computational methods.
引用
收藏
页码:251 / 279
页数:29
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