Research Area:
Computational Biology
Description
Computational biology is a vigorous emerging discipline at the interface of computer science and life science and is at the core of bioinformatics, which is concerned with the acquisition, analysis, and storage of biological information. Computational biology is the development of algorithms and computer programs central to this effort, with special emphasis on nucleic acid and protein sequence applications. Subjects of active research include DNA mapping, sequence alignment, data mining in biological databases, phylogeny, spatial structures, and functional genomics and proteomics.
Research towards the discovery of “complexity laws” governing systems in biology, physics, chemistry and economics provides a new way of thinking about the behavior of enormous systems and their interacting units. Computer science provides methods for the identification of the computational complexity roots of qualitatively similar “complex systems phenomena” occurring in physics, biology, chemistry and economics.
Faculty
Topics or Projects