BCB 410 & CSC2417: Algorithms for Genome Sequence Analysis
Lectures: M 10-12 in Bahen 2179
Instructor: Michael Brudno
Office: Pratt (PT) 286C
Office Hours: TBA and by appointment
- We now have a Google Group. Please sign up for it!
- First class will be September 13th.
This joint undergraduate/graduate course will cover some exciting
algorithms that have been developed to analyze genomic and functional data,
including Genome comparison and assembly, gene prediction, localization
of regulatory elements in the genome, and analysis and comparison of
biological networks. While the emphasis of the
class will be on discrete algorithms, we occasionally will talk about
probabilistic models (such as HMMs), and the interplay
between discrete and probabilistic models. The course is intended for
both undergraduate student's from the Bioinformatics and Computational Biology
program and computer science graduate students, and all of the required biology will be
explained in the class. Students in biological and related sciences
with a strong computational background are encouraged to participate.
Students should be familiar with algorithms
(at least CSC 373 level), basic probability theory.
The basic requirements for the class will be a course project (45% of the
grade for CSC 2417 students, 30% for BCB 410), three homework assignments
(45% for CSC 2417 and 60% for BCB 410), and class participation (10%).
Students in BCB 410 have the option of using the 2417 grading scheme (i.e.
reweighing the project to be a larger fraction of the grade), but not
vice-versa. The project can be on any topic (loosely) related to
For CS MSc students this class is in breadth category 4 (Human Centric and Interdisciplinary computing).