Quantitative & Computational Biology
The Division of Biological Sciences is actively building our research strength in quantitative and computational biology. Research projects share a common interest in using advanced mathematical and computational approaches to study fundamental problems in biology. Areas of particular interest include ecological, neurological, and evolutionary modeling in plant and animal species. Research in this area benefits from the MU Informatics Institute and the University of Missouri Bioinformatics Consortium.
Faculty & Research Interests
The genetic and metabolic control of seed amino acids’ composition
Evolution of plants in response to natural and artificial selection
Molecular basis for polar growth in Agrobacterium tumefaciens
Insect communication, behavioral ecology and evolution
Gene regulatory mechanisms controlling plant architecture traits in cereal crops
Genomic approaches to the study of life history evolution
Biophysics and neurophysiology of voltage gated ion channels; neuronal firing mechanisms; neurobiology of respiration
Application of computational bioinformatics and molecular genomics to plant genomes.
J. Chris Pires
Systematics, phylogenetics, and genome evolution of polyploidy plants
Birthplace of the phage display technology
Invented by Dr. George Smith in 1985, phage-display technology is a method for the study of protein-protein, protein-peptide, and protein-DNA interactions that uses bacteriophages to connect proteins with the genetic information that encodes them. The method is now widely used in the medical biotechnology field, especially in the area of antibody/antigen interactions and drug discovery.