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PMID: 12209144 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S. Review

Computational prediction of eukaryotic protein-coding genes.

Nature reviews. Genetics ·Vol. 3 ·No. 9 ·2002-09-00 ·Pages 698-709

Zhang MQ

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.

MeSH Terms
Amino Acid Sequence Animals Base Sequence Exons/genetics Gene Expression Genes Genetic Code Mammals Markov Chains Models, Genetic Proteins/genetics Sequence Homology, Amino Acid Software
Chemicals
Proteins
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Zhang Michael Q
Watson School of Biological Sciences, Cold Spring Harbor Laboratory, 1 Bungtown Road, PO Box 100, Cold Spring Harbor, New York 11724, USA. mzhang@cshl.edu
Article Info
Journal
Nature reviews. Genetics
Abbr.
Nat Rev Genet
ISSN
1471-0056
Published
2002-09-00
Pages
698-709
Language
English
Region
England
NLM ID
100962779
Subset
IM
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