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William R. Cannon, Ph.D.

Research Interests

William Cannon
William Cannon

Dr. Cannon's primary interests are (1) statistical and biological inference of cellular networks from high-throughput DNA microarray and mass spectrometry/proteomic experiments, (2) analysis of mass spectrometry data, and (3) integration of diverse biological data into a comprehensive model of cellular function. His previous work includes DNA microarray analysis and method development, computational and experimental enzymology, and molecular simulations with regard to engineering enzymes for desired catalytic properties. He has 10 years of experience in software development in both industry and academia.

Education

  • Ph.D., BioPhysics (Stat. Mech.), University of Houston, 1994
  • B.A., Chemistry, University of California, 1983

Honors and Awards

  • Monsanto Outstanding Research Award, 1999
  • National Research Service Award, NIH Postdoctoral Fellow, 1995
  • National Research Service Award, NIH Predoctoral Scholarship, 1990

Professional Societies

  • International Society for Computational Biology
  • American Chemical Society

Selected Publications

Heredia-Langner A, WR Cannon, KD Jarman, and KH Jarman. 2004. "De Novo Analysis of Tandem Mass Spectrometry Data as a Non-Deterministic Optimization Problem." In Proceedings of the 2004 International MultiConference in Computer Science and Computer Engineering.

Jarman KD, WR Cannon, KH Jarman, and A Heredia-Langner. 2004. "A Model of Random Sequences for de novo Peptide Sequencing." Intl. J. Bioinform. and Bioeng.

Malard JM, A Heredia-Langner, DJ Baxter, KH Jarman, and WR Cannon. 2004. "Constrained De Novo Peptide Identification via Multi-objective Optimization, Concurrency and Computation: Practice and Experience." 16.

Heredia-Langner A, WR Cannon, KD Jarman, and KH Jarman. 2003. "Sequence Optimization as an Alternative to De Novo Analysis of Tandem Mass Spectrometry Data." Bioinformatics.

Cannon WR. 2003. "Whipple’s Disease, Genomics and Drug Therapy." The Lancet 361:1916.

Contact Information

Systems Biology at PNNL

Research & Capabilities

Resources