The human genome is a multi-volume set of dictionary spelling out 3.2 billion sequence of letters. Identification of structures and functions of the human genome increasingly becomes a challenging task. Particularly surface and volume based visualization methods, which provide three-dimensional concepts of bio-molecular structure, have become significant parts in bioinformatics such as sequence matching, genome browsing, and multiple sequence alignment.

The course is concerned with analysis of biological data employing various computational and data visualization methods to obtain useful information in bioinformatics. Topics include visualization in structures, functions and evolution of proteins and nucleic acids, retrieval and visual interpretation of bioinformation from the Internet. The studied software will be exploited in sequence alignment, similarity search of sequence data, structural prediction and function inference.

The course will follow a graduate seminar style with much discussion. Students will be required to present papers in class. Readings will be supplemented by selected articles and will be assigned and distributed in class before the corresponding lectures.

Evaluation
Laboratories (plus in-class paper presentations) [25%]; Midterm [40%]; Final project / demonstration [30%]; Class participation [5%].

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