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Note: This is the 2023–2024 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Note: This is the 2023–2024 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
** This program is currently not offered. **
A thesis for the doctoral degree must constitute original scholarship and must be a distinct contribution to knowledge. It must show familiarity with previous work in the field and must demonstrate ability to plan and carry out research, organize results, and defend the approach and conclusions in a scholarly manner. The research presented must meet current standards of the discipline; as well, the thesis must clearly demonstrate how the research advances knowledge in the field. Finally, the thesis must be written in compliance with norms for academic and scholarly expression and for publication in the public domain.
Computer Science (Sci) : Introduction to current trends in Bioinformatics and closely related fields such as genomics and proteomics.
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Restrictions: This seminar is restricted to graduate students in the Bioinformatics Option. Enrolment is limited to 30 students.
Note: The seminar will meet for 3 hours every second week over Fall and Winter semesters.
Students must register for both COMP 616D1 and COMP 616D2.
No credit will be given for this course unless both COMP 616D1 and COMP 616D2 are successfully completed in consecutive terms.
Computer Science (Sci) : See COMP 616D1 for description.
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Prerequisite: COMP 616D1.
No credit will be given for this course unless both COMP 616D1 and COMP 616D2 are successfully completed in consecutive terms.
Physiology : This course provides students with information on the following areas: 1) an ethics overview; 2) scientific conduct and misconduct; 3) research authorship and peer review; and 4) research on human and animal subjects.
Terms: Fall 2023
Instructors: Vollrath, Melissa; White, John H (Fall)
Students having taken this course during the M.Sc. in Physiology will not be obliged to re-take the course if transferring to the Ph.D.
Physiology : The Ph.D. comprehensive exam will be completed between 12-18 months of commencing the program and is designed to ensure that the student's research encompasses the i) acquisition of a comprehensive knowledge of scientific literature; ii) the development of experimental skills and technical expertise with a deep understanding of the experimental design thus iii) ensuring a high degree of scholarship in the thesis submission.
Terms: Fall 2023, Winter 2024
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Physiology : The Progress Seminar is a "work in progress" seminar on what the student has accomplished to date. Following completion of the comprehensive exam, the seminar should be presented to the student's supervisory committee as a formal presentation of approximately 30 minutes followed by a question and discussion period.
Terms: Fall 2023, Winter 2024
Instructors: Shrier, Alvin (Fall)
Physiology : A "work in progress" seminar, intended as a report on student progress following the Thesis Proposal Seminar.
Terms: Fall 2023, Winter 2024
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023
Instructors: Orlowski, John (Fall)
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023, Winter 2024
Instructors: Orlowski, John (Fall) Orlowski, John (Winter)
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023, Winter 2024
Instructors: Orlowski, John (Fall) Orlowski, John (Winter)
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023, Winter 2024
Instructors: Orlowski, John (Fall) Orlowski, John (Winter)
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023, Winter 2024
Instructors: Orlowski, John (Fall) Orlowski, John (Winter)
Physiology : Required for Ph.D. students. Coordinated in conjunction with the weekly Departmental seminar series, students will meet for one hour before each seminar to critically discuss papers on the subject of the weekly seminar. Students will take turns introducing the papers and leading discussions on an overview of the research topic, some of the methodologies, results and conclusions.
Terms: Fall 2023, Winter 2024
Instructors: Orlowski, John (Fall) Orlowski, John (Winter)
6 credits to be chosen from the following courses:
Bioinformatics : The main problems related to the analysis of biological sequences (sequence comparison, homology, gene annotation, phylogenetic inference, comparative genomics) and the computational approaches (dynamic programming algorithms, Blast heuristics, hidden Markov models, Bayesian statistics).
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Restriction: Enrolment by students in the Bioinformatics option or by permission from the course coordinators only. Limited to 30 students.
Biomedical Engineering : Overview of high-throughput proteomic technologies commonly employed to study the localization and function of all proteins in an organism, and the bioinformatic approaches to analyze raw data and deposit them in proteome databases.
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Prerequisite: Enrolment in Bioinformatics option program or permission by coordinators.
Note: The course is inter-disciplinary and is targeted to students with different scientific backgrounds. A substantial portion of marks will be given based on practical assignments.
Biotechnology : Fundamentals of protein structure and the application of tools for structure determination, how protein structure allows us to understand the complex biological functions, and how knowledge of protein structure can contribute to drug discovery.
Terms: Winter 2024
Instructors: Poorinmohammad, Naghmeh; Salavati, Reza; Sulea, Traian (Winter)
Winter
1-hr lecture, followed by 2 hrs of computer lab.
Prerequisite: Molecular biology or biochemistry, and basic bioinformatics, or permission of instructor.
Computer Science (Sci) : Techniques related to microarrays (normalization, differential expression, class prediction, class discovery), the analysis of non-coding sequence data (identification of transcription factor binding sites), single nucleotide polymorphisms, the inference of biological networks, and integrative Bioinformatics approaches.
Terms: This course is not scheduled for the 2023-2024 academic year.
Instructors: There are no professors associated with this course for the 2023-2024 academic year.
Prerequisite: Enrolment in Bioinformatics Option Program or permission of coordinators.
Restrictions: Enrolment by students in the Bioinformatics Option Program or by permission of course coordinators only. Computer Science graduate students not in the Bioinformatics Option Program need additional permission of the M.Sc. or Ph.D. Committee respectively.