DescriptionBoth computational biology and bioinformatics are rooted in life sciences as well as computer sciences and technologies. Biology provides them motivation to study complex, challenging problems and to develop new algorithms as well as validation of the results. Computer science, from the other side, provides effective, fast and relatively cheap solutions. Bioinformatics involves information theory and data management to make the vast, diverse, and complex life sciences data more understandable and useful. Computational biology, on the other hand, uses mathematical and computational approaches to directly address biological hypotheses, both theoretical and experimental in nature. To be productive in the area, the effective researcher should keep a balance between all components of the cycle, starting from a formalization of the biological problem, going through construction of a computational model, finding an algorithmic solution and its implementation, and ending up by interpreting and validating the results. In this series of lectures we will provide a quick overview of the problems that contemporary computational biology is facing, and a brief introduction to the basic algorithms designed in bioinformatics to solve them.
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