Statistical Methods in Bioinformatics

Course Number: 
STA 350S
Old Number: 
180S
Description: 

Statistical and analytical tools for bioinformatics and genomics. Methods for comparison, database search, and functional inference for DNA, RNA, and protein sequences; analysis of families of molecular sequences and structures; inference in genetic pedigrees and basic linkage analysis; analysis of gene expression experiments. Topics include: sequence comparison algorithms and Karlin-Altschul statistics; Hidden Markov models of families; statistics of protein structure threading; visualization and comparative analyses for oligonucleotide array datasets.

Prerequisites: 
Statistical Science 230 (104) required. Statistical Science 250 (114) Computer programming and molecular biology required.
Typically Offered: 
Course Attribute: 
(QS) Quantitative Studies
(R) Research
Course Type: 
Undergraduate
Electives