Physiology (Thesis): Bioinformatics (M.Sc.) (45 credits)
Offered by: Physiology (Faculty of Medicine and Health Sciences)
Degree: Master of Science
Program credit weight: 45
Program Description
** This program is currently not offered. **
Thesis Courses (27 credits)
| Course | Title | Credits |
|---|---|---|
| PHGY 621 | Thesis 1. | 12 |
Thesis 1. Terms offered: Fall 2025 Written and oral presentation of thesis proposal to the research Supervisory Committee. | ||
| PHGY 622 | Thesis 2. | 12 |
Thesis 2. Terms offered: this course is not currently offered. Written and oral preparation of the thesis. | ||
| PHGY 623 | M.Sc. Final Seminar. | 3 |
M.Sc. Final Seminar. Terms offered: this course is not currently offered. Final seminar presentation to students supervisory committee prior to thesis submission. | ||
Required Courses (12 credits)
| Course | Title | Credits |
|---|---|---|
| COMP 616D1 | Bioinformatics Seminar. | 1.5 |
Bioinformatics Seminar. Terms offered: this course is not currently offered. Introduction to current trends in Bioinformatics and closely related fields such as genomics and proteomics. | ||
| COMP 616D2 | Bioinformatics Seminar. | 1.5 |
Bioinformatics Seminar. Terms offered: this course is not currently offered. See COMP 616D1 for description. | ||
| PHGY 601 | M.Sc. Proposal Seminar. | 1 |
M.Sc. Proposal Seminar. Terms offered: Fall 2025, Winter 2026 Seminar presentation to Supervisory Committee and students on the Master's thesis proposal. | ||
| PHGY 602 | Literature Search and Research Proposal. | 2 |
Literature Search and Research Proposal. Terms offered: Summer 2025, Fall 2025 Independent work under the supervision of the thesis advisor including literature search and research leading to thesis proposal. | ||
| PHGY 604 | Responsible Conduct in Research. | 0 |
Responsible Conduct in Research. Terms offered: Summer 2025, Fall 2025 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. | ||
| PHGY 607 | Laboratory Research 1. | 3 |
Laboratory Research 1. Terms offered: this course is not currently offered. Laboratory research leading to the thesis. | ||
| PHGY 608 | Laboratory Research 2. | 3 |
Laboratory Research 2. Terms offered: Fall 2025 Laboratory research leading to the thesis. | ||
Complementary Courses (6 credits)
6 credits to be chosen from the following:
| Course | Title | Credits |
|---|---|---|
| BINF 621 | Bioinformatics: Molecular Biology. | 3 |
Bioinformatics: Molecular Biology. Terms offered: Winter 2026 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). | ||
| BMDE 652 | Bioinformatics: Proteomics. | 3 |
Bioinformatics: Proteomics. Terms offered: this course is not currently offered. 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. | ||
| BTEC 555 | Structural Bioinformatics. | 3 |
Structural Bioinformatics. Terms offered: Winter 2026 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. | ||
| COMP 618 | Bioinformatics: Functional Genomics. | 3 |
Bioinformatics: Functional Genomics. Terms offered: this course is not currently offered. 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. | ||