Biology, Neurosciences And Computing
Biology and computing continue to converge. Biological research is rapidly progressing towards a situation where an holistic view of biological processes as complex systems is an essential complementary approach to conventional reductionist approaches to biological analysis. These holistic approaches provide challenges to the computing sciences primarily because of the volume and complexity of data. Further challenges arise from the disparate and heterogeneous nature of the data, which is manifest at both a syntactic and semantic level. Moreover, advances in DNA sequencing and synthesis technology now make it possible to design biological systems from first principles. The design of biological systems requires the application of engineering principles to address the problems of scalability and to facilitate computational design. The rational design of biological systems promises not only to allow biological systems to be engineered to tackle biological problems but also opens up new possibilities in the development of biological computation.
The biology, neurosciences and computing group focuses on the interface of biology and computing to address challenges in computing science relating to neurosciences, genomics, systems biology and synthetic biology.
