T. M. Murali's Research Collaborators

Our research relies on strong collaborations with life scientists, mathematicians, biophysicists, and computer scientists. I co-direct the ICTAS Center for Systems Biology of Engineered Tissues. I am the associate director of the Computational Tissue Engineering interdisciplinary graduate education program. I am also a member of MENGO, a Microbial ENergy processes Gene Ontology project.

Active Collaborators
Richard Helm Department of Biochemistry, Virginia Tech Signaling pathways in bioengineered tissues
Shiv D. Kale Virginia Bioinformatics Institute, Virginia Tech PathLinker
Simon Kasif Department of Biomedical Engineering, Boston University Gene function prediction (GAIN, Art, TE and Systems Biology)
Jean Peccoud Biocomplexity Institute, Virginia Tech Combining top-down and bottom-up models in systems biology (Model validation, GraphSpace)
Padma Rajagopalan Department of Chemical Engineering, Virginia Tech Systems biology of engineered 3-D cellular architectures (CS vs HM, CBPLNs, TE and Systems Biology, 3-cell liver mimics)
John Tyson Department of Biological Sciences, Virginia Tech Combining top-down and bottom-up models in systems biology (LINKER, START to FINISH, Model validation, GraphSpace)
Other Collaborators
Hans Bohnert Department of Plant Biology, UIUC Plant stress response (CO2)
Ruth Grene Department of Plant Pathology, Virginia Tech Plant stress response (XcisClique, CO2)
Lenwood Heath Department of Computer Science, Virginia Tech Plant stress response (XcisClique, CO2)
Michael G. Katze Department of Microbiology, University of Washington HIV dependency factors
Alexey Onufriev Department of Computer Science, Virginia Tech Ligand diffusion pathways in proteins (myoglobin)
Naren Ramakrishnan Department of Computer Science, Virginia Tech Compositional data mining (CDM), Pursuit of truthiness
Bruno Sobral Virginia Bioinformatics Institute, Virginia Tech Host-pathogen protein interaction networks (prediction, landscape, PIG, bacterial-human, human-HIV)
Brett Tyler Virginia Bioinformatics Institute, Virginia Tech Gene function prediction (HDFs), pathway analysis (perturbation)

T. M. Murali (murali at cs dot vt dot edu) Last modified: Wed Sep 21 11:46:58 EDT 2011