Microarray Platforms

Authored by: Keerthi P. Venkataramanan , Leland J. Cseke , Gopi K. Podila , Ara Kirakosyan , Peter B. Kaufman

Handbook of Molecular and Cellular Methods in Biology and Medicine

Print publication date:  December  2011
Online publication date:  April  2016

Print ISBN: 9781420069389
eBook ISBN: 9781439881958
Adobe ISBN:

10.1201/b11351-29

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Abstract

With the advent of high-throughput DNA sequencing techniques, a score of prokaryotic and eukaryotic genomes have recently been sequenced to completion (e.g., Escherichia coli, 1 yeast, 2 human, 3 and Arabidopsis 4 ). This large amount of sequence data can be searched in silico, that is, on the computer using a number of bioinformatics tools that are developed to infer a large number of open reading frames or protein coding regions that occur in each of these genomes. Eukaryotic genes are more difficult to predict due to their split nature where coding (exon) and noncoding (intron) regions of the gene are interspersed. The gene prediction algorithms are either generic, based on all the information available about genes and the proteins they encode from various organisms, or are organism specific, based on actual sequence information available only for that organism. In either case, such computer-based gene predictions should still be regarded as tentative and more experimental confirmation of the gene function must ideally be examined.

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