Computational prediction of eukaryotic protein-coding genes

Zhang, M. Q. (September 2002) Computational prediction of eukaryotic protein-coding genes. Nature Reviews Genetics, 3 (9). pp. 698-709. ISSN 1471-0056

URL: http://www.ncbi.nlm.nih.gov/pubmed/12209144
DOI: 10.1038/nrg890

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.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
bioinformatics > computational biology
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function
CSHL Authors:
Communities: CSHL labs > Zhang lab
Depositing User: Matt Covey
Date: September 2002
Date Deposited: 30 Oct 2013 19:04
Last Modified: 30 Oct 2013 19:04
Related URLs:
URI: http://repository.cshl.edu/id/eprint/28815

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