Images courtesy of Andrews-Dalkilic Group

High throughput data sets from DNA, RNA and protein assays are abundant and will only become more prevalent in the near future. When combined with knowledge from decades of detailed genetic investigations linking individual genes to phenotypes, these datasets offer genome-wide insights into the functional relationship among genes. However, questions still arise regarding the feasibility of integrating these disparate data sets. Our goal is to demonstrate that by adopting a probabilistic framework, the large and diverse data sets acquired from studies of a complex metazoan can be integrated to provide a meaningful, functional gene network and to draw new and unforeseen connections.

The contents of this page are supplemental data to Gene Networks in Drosophila melanogaster: Integrating experimental data to predict gene function Genome Biology 10(9) 2009 Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function.

We are in the process of constructing more networks in order to build a meta-genomics network, i.e., a network of networks. Here is an initial Arabidopsis functional genomic network of the top 20K best hits. This network was constructed by Sushimtha Paulraj for her Bioinformatics capstone while working at the Bioinformatics unit of the Center for Genomics and Bioinformatics under the direction of Haixu Tang.