Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2050189 | FEBS Letters | 2008 | 8 Pages |
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.
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Authors
Eoghan D. Harrington, Lars J. Jensen, Peer Bork,