Academic Catalog


Course Code: 2380754
METU Credit (Theoretical-Laboratory hours/week): 3(2-2)
ECTS Credit: 8.0
Department: Biology
Language of Instruction: English
Level of Study: Graduate
Course Coordinator:
Offered Semester: Spring Semesters.

Course Content

R is a programming language widely used in biological research. This hands-on course will cover:
The basics of computer algorithms, R grammar, graphic;
Statistical methods including ANOVa, regression, multivariate and Bayesian methods as implemented in R;
Genomic, population genetic, transcriptomic and ecological data analysis tools using custom functios and/or specialized packages in R/Bioconducter.
Through the course, the students will develop skills to access, manipulate and efficiently analyze large-scale biological data.