BIOL 59500 Bioinformatics
Credits: 3 (Class 2, Lab 2) TR 5-8:50 PM
Perquisite: BIOL 24300 Cell Biology, and BIOL 24400 Genetics
The digital information explosion and advent of high throughput techniques in biology and chemistry requires knowledge of how to obtain, organize and mine that data for knowledge. This course is designed to be an introduction to bioinformatics and data mining techniques for biologists. Data mining techniques allow an investigator to understand the collection of data and then to classify and/or make predictions from the data. It is a combination of statistical, informatics and other analytical techniques. Topics will be introduced in lecture and practical examples relating to the topic will be explored with examples and case studies in the lab. Data mining examples used in this course will be drawn from genomic, proteomic, epidemiological and ecological data sets.