Computational prediction of eukaryotic protein-coding genes

被引:146
作者
Zhang, MQ [1 ]
机构
[1] Cold Spring Harbor Lab, Watson Sch Biol Sci, Cold Spring Harbor, NY 11724 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1038/nrg890
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The human genome sequence is the book of our life. Buried in this large volume are our genes, which are scattered as small DNA fragments throughout the genome and comprise a small percentage of the total text. Finding these indistinct 'needles' in a vast genomic 'haystack' can be extremely challenging. In response to this challenge, computational prediction approaches have proliferated in recent years that predict the location and structure of genes. Here, I discuss these approaches and explain why they have become essential for the analyses of newly sequenced genomes.
引用
收藏
页码:698 / 709
页数:12
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