Review
Nature Reviews Genetics 3, 698-709 (September 2002) | doi:10.1038/nrg890
Computational prediction of eukaryotic protein-coding genes
Michael Q. Zhang1 About the author
Abstract
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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Author affiliations
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Watson School of Biological Sciences, Cold Spring Harbor Laboratory, 1 Bungtown Road, PO Box 100, Cold Spring Harbor, New York 11724, USA.
Email: mzhang@cshl.edu
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