Computational biology [ LINGI2368 ]

• LSINF1121 Data Structures and Algorithms

Computational biology, or bioinformatics, deals with the development and application of theoretical models and practical data processing tools for the study of biological systems. This interdisciplinary field includes contributions from molecular biology, biochemistry, computer science, mathematics and statistics. From a computer science viewpoint, it involves the design of specific data structures and efficient algorithms, the use of optimized database systems, simulation techniques, computer graphics and web interfaces.

• To understand the basics in biology to design, to develop and to use computational biology tools
• To justify the use of a particular computer technique to solve a computational biology problem
• To design, develop and use specific computational biology software tools

lectures and student seminars

• Sequence statistics
• Gene finding
• Sequence alignment techniques
• Phylogenetic analysis
• Hidden Markov Models
• Structure prediction
• DNA microarrays
• Whole genome analysis
• Identification of regulatory sequences

Reference Book

Nello Cristianini and Matthew W. Hahn, "Introduction to Computational Genomics, A Case Studies Approach", Cambridge University Press, 2006

Mandatory material

The mandatory material for this course is defined as the set of documents and slides made available on this website, together with the oral communications and talks given during the lectures, including the chapters of the reference book covered during those lectures. None of this material can be consulted during the final examination (closed book exam).