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Spring 2011 Course Spotlight—BISC-478: Computational Genome Analysis

Lecture: TTh 9:30–10:50am
Instructors: Frank Alber, Ting Chen and Fengzhu Sun

Computational biology and bioinformatics have become an integral part of biological education. With the development of new biotechnologies, enormous amount of data have been accumulated and deposited into databases. Such data includes molecular sequences, networks, pathways, structures, and genetic polymorphisms. Most biological laboratories and biotechnological companies use these data sources for research and development. The molecular data will also significantly improve our understanding of human health.

This course introduces students to the basics of computational biology and bioinformatics. The course content includes introduction to probability and statistics, sequence alignment, molecular sequence database searches, gene expression analysis, phylogenetic analysis, high-throughput sequencing, and disease gene identification.

The course is essential for students interested in modern biological research and development in both academia and industry. It is also helpful for students interested in genetic bases of complex diseases.

Who Should Take the Course?
Students who are interested in biological research, biotechnology companies, public health, and medicine. Students with training in computational biology and bioinformatics are extremely competitive in graduate application and biotechnological companies.

Career Options
Biotech companies, academia, medical centers, government agencies including NIH, FDA, CDC, EPA, etc.

More info: fsun@usc.edu