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Introduction to computational biology, including
the fundamentals of protein and nucleic acid sequence analysis,
phylogenetic analysis, motif finding, hidden Markov models, and
3D structure prediction and modeling.
An overview of emerging fields including expression
profiling,
quantitative image analysis and the modeling of cellular signal
transduction networks will also be included.
This course is designed for advanced undergraduates
and graduate students with strong backgrounds in either molecular biology or
computer science but not necessarily both.
Two self-study tracks are offered, introducing
either basic statistical methods and programming (to biologists)
or the fundamentals of molecular biology (to computer scientists).
Lectures will combine both perspectives to illustrate
how computation is having a significant impact on modern biology.
Enrollment is limited to 40.
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