Discovery of biological networks from diverse functional genomic data

Genome Biol. 2005;6(13):R114. doi: 10.1186/gb-2005-6-13-r114. Epub 2005 Dec 19.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bayes Theorem
  • Cell Cycle Proteins / metabolism
  • Computational Biology
  • Computer Graphics
  • Genomics*
  • HSP90 Heat-Shock Proteins / metabolism
  • Molecular Chaperones / metabolism
  • Protein Interaction Mapping
  • Reproducibility of Results
  • Saccharomyces cerevisiae / cytology
  • Saccharomyces cerevisiae / genetics*
  • Saccharomyces cerevisiae / metabolism*
  • Saccharomyces cerevisiae Proteins / genetics
  • Saccharomyces cerevisiae Proteins / metabolism


  • CDC37 protein, S cerevisiae
  • Cell Cycle Proteins
  • HSP90 Heat-Shock Proteins
  • Molecular Chaperones
  • Saccharomyces cerevisiae Proteins