Spring 2019 - MBB 741 G100
Class Number: 3637
Delivery Method: In Person
Course Times + Location:
Jan 3 – Apr 8, 2019: Wed, 10:30 a.m.–12:20 p.m.
Jan 3 – Apr 8, 2019: Fri, 10:30 a.m.–12:20 p.m.
1 778 782-5646
Prerequisites:MBB 331 and MBB 342 or permission of the instructor.
Lectures and hands-on instruction at the computer in the use of, and theory behind, bioinformatic software and algorithms for the analysis of macromolecular data.
Examining the use of, and theory behind, bioinformatic software and algorithms for the analysis of macromolecular data. Includes consideration of recent literature and discussion of ethics in method development and analysis.
Examining the latest developments in bioinformatics, which is loosely defined as the intersection between the fields of molecular biology and computer science. Topics covered may include sequence searching and alignment, bioinformatics databases and ontologies, sequence variant analysis, sequence motif identification, metagenomics analysis, protein analysis, evolutionary/phylogenetic analysis, network/systems biology, machine learning/software development for predictive methods, and ethics in method/database development and analysis. Instruction will include lecture material and in-depth consideration of selected papers in the field.
- Quizzes on lecture material and assigned reading throughout the term 45%
- Presentations 25%
- Participation 5%
- Term paper 25%
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS