Spring 2020 - MBB 441 D100
Class Number: 2783
Delivery Method: In Person
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 through the term 45%
- Short summaries/critiques of papers selected from primary literature 25%
- Participation 5%
- Term paper 25%
Department Undergraduate Notes:
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- Students requiring accommodations as a result of a disability, must contact the Centre for Accessible Learning (778-782-3112 or e-mail: email@example.com)
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