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Computational prediction of eukaryotic protein-coding genes
被引:144
|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.
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页码:698 / 709
页数:12
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