Bioinformatics & Computational Biology
Bioinformatics is the application of statistical models and databases to answer questions about biological systems.
Computational biology is the study of biological systems through modeling, theory and simulations. Research in this field draws from a broad base of sciences, from physics to chemistry to math.
Researchers at Rensselaer are applying computational methods to the understanding of diverse biological systems, including RNA structure, gene structure, protein structure, protein interactions, protein folding, protein design, drug design, RNA folding, chemoinformatics, molecular dynamics, phylogenetic analysis, and the brain. New computational methods are being developed including dynamic programming, support vector machines, hidden Markov models, finite element analysis, and many more.
Chemistry and Chemical Biology
Chemical and Biological Engineering
Physics, Applied Physics, & Astronomy
See also the Bioinformatics research group in CS