BME 675 Analysis in Quantitative Bioscience

Credits: 3
This introductory computational biology course is geared toward students comfortable with quantitative methods, but extensive programming experience is not necessary. The course introduces and employs python notebooks for analyses of genomic and related ‘big’ biological data. Key statistical concepts are introduced and used throughout the course in the discussion of algorithms for the analysis and simulation of biological data. Topics covered typically included sequence alignments, analysis of RNA sequence data, pathway analysis, Markov modeling, and machine learning.

Graded: A-F
May be taken only once for credit