Computational Biology
Computational biology involves the application of mathematical and computational methods to model, analyze, and simulate biological systems. This field leverages tools from computer science, mathematics, and statistics to understand complex biological phenomena, including genetics and gene expression, protein structure and function, cellular processes, and organismal behavior. By integrating data from diverse sources such as high-throughput sequencing, microarrays, and structural biology, computational biologists can build predictive models and gain insights into the underlying mechanisms of biological systems. This knowledge has important implications for advancing our understanding of human health and disease, agriculture, and environmental science, making it a crucial component of the genetics hierarchy within the broader contexts of science and biotechnology.
External Links
- [iscb.org] ISCB - International Society for Computational Biology
- [cbbj.org] Journal Home:: Computational Biology and Bioinformatics:: Science Publishing Group
- [20n.com] 20n: Computational synthetic biology
- [cbb.yale.edu] Welcome | Yale Computational Biology and Biomedical Informatics
- [snf2.com] The Barton Group | Bioinformatics Research | Division of Computational Biology | School of Life Sciences | University of Dundee
- [geoffbarton.org] Geoff Barton's blog – Computational biology and more…