Skip to Main Content U.S. Department of Energy
small banner

Jason McDermott, Ph.D.

Expertise

Jason McDermott
Jason McDermott

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data integration of high-throughput 'omics data for biomarker discovery, developing systems biology models in a number of systems focusing on host-pathogen interactions, characterizing phylogenetic and functional relationships in complex eukaryotic microbial communities, and using network inference and topology to characterize organism-level phenotypes.

Education

  • Ph.D. , Oregon Health & Science University, Structural Virology, 2000
  • B.A., Reed College, Biology, 1993

Honors and Awards

  • 1997 Sears Fellowship Award (OHSU)
  • 1998 Tartar Fellowship Award (OHSU)
  • 2008 Analytics Challenge Winner (Supercomputing 2008)

Selected Publications

McDermott J, RC Taylor, H Yoon, and F Heffron. 2009. "Bottleneck Nodes in Inferred Networks are Important for Virulence in Salmonella typhimurium." Journal of Computational Biology 16(2):169-180.

Webb-Robertson BJ, L McCue, N Beagley, JE McDermott, DS Wunschel, SM Varnum, HJ Zhi, NG Isern,and JG Pounds. 2009. "A Bayesian Integration Model of High-throughput Proteomics and Metabolomics Data for Improved Early Detection of Microbial Infections." Pacific Symposium on Biocomputing 2009.

Samudrala R, F Heffron, and JE McDermott. 2009. "Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems." PLoS Pathogens (in press).

Yoon H, JE McDermott, S Porowillik, M McClelland, and F Heffron. 2009. "Coordinated regulation of virulence during systemic infection of Salmonella enterica serovar Typhimurium." PLoS Pathogens 5(2):e1000306.

Toepel J, JE McDermott, TC Summerfield, and LA Sherman. 2009. "Genome Wide Analysis of Short Light/Dark Cycle Response in Cyanothece sp. ATCC 51142." Journal of Phycology. Accepted.

Contact Information

Systems Biology at PNNL

Research & Capabilities

Resources