Computational prediction of eukaryotic protein-coding genes.

Michael Q Zhang

doi:10.1038/nrg890

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Computational prediction of eukaryotic protein-coding genes.

Michael Q Zhang

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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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Amino Acid Sequence Animals Base Sequence Exons Gene Expression Genes Genetic Code Mammals Markov Chains Models, Genetic Proteins Sequence Homology, Amino Acid Software Journal Article Research Support, U.S. Gov't, P.H.S.Review

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Michael Q Zhang. 2002. Computational prediction of eukaryotic protein-coding genes.. https://doi.org/10.1038/nrg890

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