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Briefings in Bioinformatics 2005 6(4):380-389; doi:10.1093/bib/6.4.380
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© Henry Stewart Publications

Inferring network interactions within a cell

Gregory W. Carter
Postdoctoral fellow in computational biology at the Institute for Systems Biology. Atheoretical physicist by training, he is now developing analytical methods and models for analysis of genetic interactions and gene expression.


Gregory W. Carter, Institute for Systems Biology, 1441 N. 34th Street, Seattle, WA 98103, USA Tel: +1 206 732 1396 Fax: +1 206 732 1299 E-mail: gcarter{at}systemsbiology.org

The continuing growth in high-throughput data acquisition has led to a proliferation of network models to represent and analyse biological systems. These networks involve distinct interaction types detected by a combination of methods, ranging from directly observed physical interactions based in biochemistry to interactions inferred from phenotype measurements, genomic expression and comparative genomics. The discovery of interactions increasingly requires a blend of experimental and computational methods. Considering yeast as a model system, recent analytical methods are reviewed here and specific aims are proposed to improve network interaction inference and facilitate predictive biological modelling.

Keywords: biological interaction, interaction network, genetics, phenotype, computational modelling


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