Past Awardee

Construction of Genetic/Proteomic Networks

David Rivier
David Rivier

College: Agricultural, Consumer and Environmental Sciences
Award year: 2003-2004

The complete DNA sequence of the human genome, along with the DNA sequence of several other genomes, is a great value in the identification and comparison of genes. However, this sequence information is severely limited in its ability to identify the functions of genes and the proteins they encode. A second wave of genomic analysis-functional genomics and proteomics, is underway. Several complementary approaches in functional genomics and proteomics have been developed to identify the function of genes, the function of the proteins encoded by genes, and/or the functional interactions between genes or between proteins that are required for all cellular processes. At present, this revolution in genomic and proteomic technologies is producing large data sets faster than biological and medical researchers can process the encoded information. In addition, no systematic method has been developed for the integration and processing of data from all available genomic and proteomic technologies.

The goal of this proposal is to develop software that integrates diverse genomic and proteomic data sources and assembles a genetic/proteomic network as an approach to defining the molecular pathways that carry out cellular functions. Such a network assembly tool is expected to be an important component of the experimental framework necessary to provide a description of the comprehensive "map" of cellular function. In addition, the ability to generate networks of intermediate resolution is expected to be of great benefit in guiding genomic and proteomic experimentation in the near future.