BTRY 6700 - Applied Bioinformatics and Systems Biology

Fall. 4 credits. S-U or letter grade option.

Prerequisite: introductory courses in computer programming and statistical methods are highly recommended. For those who do not have prior programming experience, please discuss with Dr. Yu about taking the course.

H. Yu, A. Keinan, and A. Siepel.

An introductory course on tools and techniques for the analysis of molecular biological data, including biosequences, microarrays, and networks. This course emphasizes practical skills, as well as basic understanding of theories and algorithms for proper application of various techniques. Two different computer languages (R and Perl) will be introduced and used throughout the lectures and homework. Possible topics include sequence alignment, gene and motif finding, genome assembly, variant detection, demographic inference, detection of natural selection, association mapping, phylogeny reconstruction, microarray analysis, and methods for inferring and analyzing regulatory, protein-protein interaction, and metabolite networks.