Discovery of biological networks from diverse functional genomic data

Chad L. Myers, Drew Robson, Adam Wible, Matthew A. Hibbs, Camelia Chiriac, Chandra L. Theesfeld, Kara Dolinski, Olga G. Troyanskaya

Research output: Contribution to journalArticle

166 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberR114
JournalGenome biology
Volume6
Issue number13
DOIs
StatePublished - Dec 19 2005

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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    Myers, C. L., Robson, D., Wible, A., Hibbs, M. A., Chiriac, C., Theesfeld, C. L., Dolinski, K., & Troyanskaya, O. G. (2005). Discovery of biological networks from diverse functional genomic data. Genome biology, 6(13), [R114]. https://doi.org/10.1186/gb-2005-6-13-r114