Predicting biological networks from genomic data

Harrington, Eoghan D.; Jensen, Lars J.; Bork, Peer

doi:10.1016/j.febslet.2008.02.033

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Volume 582, Issue 8 , Pages 1251-1258, 9 April 2008

Predicting biological networks from genomic data

Edited by Robert B. Russell and Patrick Aloy

Eoghan D. Harrington
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
Lars J. Jensen
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, Panum Institutte, Blegdamsvej 3b, DK-2200 Copenhagen N, Denmark
Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
- Max Delbrück Centre for Molecular Medicine, Berlin-Buch, Robert-Rössle-Strasse 10, D-13092 Berlin, Germany
- Corresponding author. Address: Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.

Received 8 February 2008; accepted 13 February 2008. published online 21 February 2008.

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