Discovery of biological networks from diverse functional genomic data
1 Department of Computer Science, Princeton University, 35 Olden Street, Princeton, NJ 08544, USA
2 Lewis-Sigler Institute for Integrative Genomics, Carl Icahn Laboratory, Princeton University, Princeton, NJ 08544, USA
3 Department of Mathematics, Princeton University, Washington Road, Princeton, NJ 08540, USA
4 Department of Genetics, School of Medicine, Mailstop-S120, Stanford University, Stanford, CA 94305-5120, USA
Citation and License
Genome Biology 2005, 6:R114 doi:10.1186/gb-2005-6-13-r114Published: 19 December 2005
We have developed a general probabilistic system for query-based discovery of pathway-specific networks through integration of diverse genome-wide data. This framework was validated by accurately recovering known networks for 31 biological processes in Saccharomyces cerevisiae and experimentally verifying predictions for the process of chromosomal segregation. Our system, bioPIXIE, a public, comprehensive system for integration, analysis, and visualization of biological network predictions for S. cerevisiae, is freely accessible over the worldwide web.