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

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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.

Author affiliations

  1. 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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