Biocomputing and Media Research Lab

Image: Figures pertaining to research

Analysis of Protein-Protein interaction Networks

Description

A wealth of protein interaction data has become available, creating an urgent need for powerful analysis techniques. Our research in this area focuses on developing and validating algorithms for analyzing host-pathogen protein-protein interaction networks and for finding biologically meaningful correspondences between different protein-protein interaction networks.

Software

SMAL: Scaffold-Based Multiple Network Aligner

Publications

  • J. Dohrmann, J. Puchin, and R. Singh, “Global Multiple Network Alignment by Combining Pairwise Network Alignments”, BMC Bioinformatics, Vol. 16, (Suppl 13):S11, 2015. (Corresponding author R. Singh) [PDF]
  • A. Peterman, M. J. Bennett, A. Frankel, and R. Singh, "Clustering PPI Networks of Mixed Host-Pathogen Data Using Biased Repeated Random Walks", International Symposium on Bioinformatics Research and Application (ISBRA), 2013. [PDF]
SF State Home