Research:Student research

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[edit] Matt Dyer

Bioinformatic approaches for studying and prediciting physical interactions between host and pathogen proteins.
2006 - Present.

  1. Sen, S. K., K. Han, J. Wang, J. Lee, H. Wang, P. A. Callinan, M. D. Dyer, R. Cordaux, P. Liang, and M. A. Batzer. (2006). Human genomic deletions mediated by recombination between Alu elements. Am J Hum Genet. 1(79):41-53.
  2. Zhou, C. E., M. Lam, J. Smith, A. Zemla, M. D. Dyer, T. Kuczmarski, and T. Slezak. (2006). MannDB - A microbial annotation database. BMC Bioinformatics 7:459.
  3. Zhou, C. E., J. Smith, M. Lam, M. D. Dyer, A. Zemla, and T. Slezak. (2006). MvirDB - A microbial database of virulence facors, toxins, and antibiotic resistance genes for biodefense applications. NAR 35:D391-395.
  4. Dyer, M. D., T. M. Murali, and B. W. Sobral. (2007). Computational prediction of host-pathogen protein-protein interactions. Bioinformatics 27:i159-167.
  5. Dyer, M. D., T. M. Murali, and B. W. Sobral. (In Review). The landscape of human proteins targeted by pathogens. PLoS Pathogens.


[edit] Shenghua Li

  1. Article: A Quantitative Study of the Division Cycle of Caulobacter crescentus Stalked Cells
    News Release: Biologists Use Computers To Study Bacterial Cell Division
    Summary: We present here a mathematical model of the asymmetric cell division cycle in the alpha-proteobacterium, Caulobacter crescentus. The model is tested against available experimental observations on wild-type and mutant cells. It is viewed as a starting point for more comprehensive models of the the temaral dynamics and spatial asymmetry of Caulobacter reproduction, the correlation of cell growth and division, and cell cycle checkpoints. January 24, 2008.