Computational Biology
Computational biology at its core involves the application of computational and statistical methods to tackle complex problems in biology. It's about using algorithms, data structures, and machine learning techniques to analyze and interpret large-scale biological datasets. This could range from genome sequencing and protein structure prediction to systems biology and evolutionary genomics. In the context of 'Science', computational biology represents a cutting-edge interdisciplinary field that combines principles from computer science, mathematics, and statistics to deepen our understanding of biological systems. As part of 'Computer Science', it leverages advanced data structures and algorithms to handle and process the vast amounts of data generated in modern molecular biology research. This makes it a crucial component of 'Data Structures', where it contributes to the development of efficient methods for managing, retrieving, and analyzing biological data.
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…