Topics
of Statistics in Bioinformatics
Henry
Horng-Shing Lu (¿cÂE¿³)
Institute
of Statistics
National Chiao Tung University
Fall, 2007
Tel: 03-5731870
Email: hslu@stat.nctu.edu.tw
Goals:
The course will introduce statistical methods in bioinformatics. Biological
applications, statistical models and computation methods will be introduced
through examples and software. Undergraduate knowledge of probability and statistics
will be helpful for the understanding of this course. Related materials will
be post at the course web page in http://www.stat.nctu.edu.tw/people/bio.php?PID=16.
Course
Outlines:
- Biological Background
- Sequence Alignment
and Analysis
- Microarray Data Analysis
- Protein Data Analysis
- Phylogenetics and Evolution
- Systems Biology
Reference
Books:
- Richard C. Deonier,
Simon Tavare, and Michael S. Waterman, Computational
Genome Analysis: An Introduction, Springer, 2005.
- Warren J. Ewens and
Gregory R. Grant, Statistical
Methods in Bioinformatics: An Introduction, Second Edition. Springer,
2005.
- Andrzej Polanski and
Marek Kimmel, Bioinformatics,
Springer, 2007.
Emmanuel Paradis, Analysis of Phylogenetics
and Evolution with R, Springer, 2006.
Evaluation:
- In Class Discussion
and Presentation: 30%
- Term Project: 70%
Links: