Fall 2019 - CMPT 441 D100
Computational Biology (3)
Class Number: 9006
Delivery Method: In Person
Course Times + Location:
Tu 2:30 PM – 4:20 PM
RCB 8100, Burnaby
Th 2:30 PM – 3:20 PM
RCB 8100, Burnaby
Exam Times + Location:
Dec 12, 2019
3:30 PM – 6:30 PM
WMC 3210, Burnaby
Instructor:Kay C Wiese
1 778 782-7436
This course introduces students to the computing science principles underlying computational biology. The emphasis is on the design, analysis and implementation of computational techniques. Possible topics include algorithms for sequence alignment, database searching, gene finding, phylogeny and structure analysis. Students with credit for CMPT 341 may not take this course for further credit.
This is an introductory course on fundamental algorithmic techniques used to solve computational problems encountered in molecular biology. The course will investigate both traditional deterministic algorithms such as dynamic programming as well as machine learning and AI methods in Computational Biology. We will focus on practical algorithmic solutions as well as theoretical challenges. The course will have a project based on student's choice.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better). Details will be discussed in the first week of classes. There will be assignments and a project and also a midterm exam. Details will be discussed in class in the first week of classes.
An Introduction to Bioinformatics Algorithms
Neil Jones and Pavel Pevzner
- Biological Sequence Analysis
- Richard Durbin, Sean Eddy, Anders Krogh, Graeme Mitchison
- Cambridge University Press
Bioinformatics: The Machine Learning Approach
Pierre Baldi, Sren Brunak
Algorithms on Strings, Trees, and Sequences
Cambridge University Press
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