Predicting Biological Networks From Genomic Data

FEBS Lett. 2008 Apr 9;582(8):1251-8. doi: 10.1016/j.febslet.2008.02.033. Epub 2008 Feb 21.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Computational Biology
  • Genomics*
  • Phylogeny