Predicting biological networks from genomic data

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Item Type:	Article
Title:	Predicting biological networks from genomic data
Creators Name:	Harrington, E.D., Jensen, L.J. and Bork, P.
Abstract:	Continuing improvements in DNA sequencing technologies are providing us with vast amounts of genomic data from an ever-widening range of organisms. The resulting challenge for bioinformatics is to interpret this deluge of data and place it back into its biological context. Biological networks provide a conceptual framework with which we can describe part of this context, namely the different interactions that occur between the molecular components of a cell. Here, we review the computational methods available to predict biological networks from genomic sequence data and discuss how they relate to high-throughput experimental methods.
Keywords:	Prediction, Genomic Data, Network, Biological
Source:	FEBS Letters
ISSN:	0014-5793
Publisher:	Elsevier
Volume:	582
Number:	8
Page Range:	1251-1258
Date:	9 April 2008
Official Publication:	https://doi.org/10.1016/j.febslet.2008.02.033
PubMed:	View item in PubMed

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