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Dave Schneider
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Selected PublicationsPersonal BioCurriculum Vitae

Dave Schneider
Computational Biologist
phone: (607) 254-4510
fax: (607) 255-0323
email: Dave.Schneider@ars.usda.gov

My primary research interests are:

  1. the development of computational methods for the inference and modeling of gene regulation networks in prokaryotes;
  2. rational design of functional genomics experiments to maximize laboratory efficiency and thorough exploitation of the resulting data;
  3. laboratory and computational approaches to understanding the complex relationships between protein structure, dynamics, and function.
  These efforts are all focused on understanding the biology of Pseudomonas syringae, a plant pathogen that affects many crops around the world.   Most of our work is on P. syringaepv. tomatoDC3000 because it can infect both tomato and Arabidopsis thaliana; a unique opportunity given the availability of the complete genomic sequences for both host and pathogen [Buell, et al 2003].   It is not surprising that the A. thaliana-P. syringaeDC3000 system has emerged as the premier model for the study of gene regulation and molecular aspects of pathogenesis from the point of view of both host and pathogen.