Graduate courses

GMS6231 – Genomics and Bioinformatics

Principles of genomic characterization and bioinformatic analysis of
eukaryotes, including an overview of analytical platforms,
computational tools, experimental design, analysis methods and
databases used to study DNA sequence, gene expression and protein
levels. The course aims at providing an understanding of the principles
of genomic analysis of eukaryotes at various levels (DNA, mRNA and protein),
and of the bioinformatics methods used for this purpose.

GMS 6014 – Applications of Bioinformatics in Genetic Research

This course is designed to help graduate students in molecular biology
or related disciplines to understand the basis of bioinformatics
applications, and to develop the necessary skills that will enable
them to use these tools accurately and creatively in their research.

GMS 6232 – Advanced Applications of Bioinformatics in Genetic Research

A special topic course designed for students who want to gain
more hands-on experience in applying bioinformatics and computational
approaches to solve real research problems. This course focuses on
programming and the development of new software tools to solve
biological problems (as opposed to simply using existing tools).

GMS 6233 – Quantitative Models of Protein Evolution and Phylogenetics


A two-unit course emphasizing the study of the theoretical principles
underlying models of protein evolution, as used in phylogenetic
analysis. Through this course students will develop a critical
understanding of the biological principles and mathematical tools used
to model protein evolution in inferring phylogenetic relations. The
students will be guided towards developing quantitative models of
protein evolution and will study algorithmic applications of existing
models. The course will consist of interactive lectures in a socratic
format and will be tailored to the progress of the students.

VME 6464 – Molecular Pathogenesis

Course description
This is a graduate level reading/discussion course focusing on data analysis and interpretation in primary research publications. Topics will include: Bioinformatics/whole genome analyses as applied to emerging tick-borne diseases. Classes will include lectures, computer-based demonstrations and student projects.
Instructors: Drs. Tony Barbet, John Dame.

CAP 5510 – Bioinformatics

This course will discuss the major components of bioinformatics data
(such as DNA and protein sequences and protein structures) and how
computer technology is used to understand this data better.

CAP 5515 – Computational Molecular Biology

This course focuses on the design and analysis of algorithms and
models for problems motivated from molecular biology research. The
course also provides some computational techniques, such as group
testing theory, dynamic programming, Markov models, local search as
well as many other optimization techniques.