A5061133041- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Autophagy in Disease and Therapy
- Genetics, Aging, and Longevity in Model Organisms
- Microbial Metabolic Engineering and Bioproduction
- Nanoparticles: synthesis and applications
- Evolution and Genetic Dynamics
Yale University
2003-2004
Whitney Museum of American Art
2003
University of Toronto
2003
Rutgers, The State University of New Jersey
2000
We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, colocalization). In addition de novo predictions, it can integrate often noisy, experimental data sets. observe that at given levels of sensitivity, our are more accurate than the existing high-throughput...
Proteins function mainly through interactions, especially with DNA and other proteins. While some large-scale interaction networks are now available for a number of model organisms, their experimental generation remains difficult. Consequently, interolog mapping—the transfer annotation from one organism to another using comparative genomics—is significant value. Here we quantitatively assess the degree which interologs can be reliably transferred between species as sequence similarity...