Welcome to Medical Bioinformatics
Medical Bioinformatics is an interdisciplinary field that brings together computer sciences, the medical sciences and health care, to achieve better health for Canadians.
What is Medical Bioinformatics?
Medical Bioinformatics is the use of computational methods to solve problems in biomedical sciences. High-throughput technologies that rapidly generate enormous amounts of data (e.g., next-generation sequencing platforms), which were once considered "cutting edge", are now essential tools in modern biomedical and clinical laboratories. This module provides students with the necessary foundation in computing, statistics and medical sciences, followed by a series of unique courses in Medical Bioinformatics with an emphasis on practical skill development.
What do Medical Bioinformatics do?
Informaticians have the knowledge and skills to assist in the creation and use of health-related data, as well as the implementation and applications of information/communication technologies in the health system that will enable and support all aspects of safe, efficient and effective health services (e.g., planning, research, development, organization, provision, evaluation of services).
Medical Bioinformatics Professionals:
- Work with health care providers including doctors, nurses, allied health professionals, researcher and the public;
- Develop computer simulations for study of complex disease and patterns in health;
- Develop decision support tools for clinical and administrative decision making;
- Safeguard, access and interpret large volumes of data from hospitals, clinical trials, patients and doctors
Honours Specialization in Medical Bioinformatics
Students combine foundational courses in both the medical sciences (such as understanding the biochemistry and pathophysiology of disease) and computer sciences (in algorithms, data structures, databases, computer networks and human-computer interaction). Additional course in health informatics and health information management are offered through the Department of Pathology. Enrolment in the module is limited and lead to a Bachelor of Medical Sciences (BMSc) degree.
General topics in medical bioinformatics, including public databases, bioinformatic data formats, sequence comparison and alignment, and next-generation sequence processing (mapping, de novo assembly). Labs introduce the command line interface, working within the Linux filesystem, and basic concepts in utilizing open source assets, batch processing and the implementation of bioinformatic workflows.
Antirequisite(s): Computer Science 4461A/B
Prerequisite(s): Biology 2581A/B; one of Biology 2244A/B, Statistical Sciences 2244A/B or Statistical Sciences 2858A/B
Pre-or Corequisite(s): Statistical Sciences 2857A/B
Extra Information: 2 lecture hours, 2 laboratory hours per week. This course does not require any prior experience with computer programming.
- 2021-2022 MBI3100 Course Outline (PDF, 51 KB)
An overview of concepts and applications of techniques in bioinformatics for the study and clinical/public health management of infectious diseases. Students are introduced to the basic analysis of conventional and next-generation sequence data, principles of maximum likelihood and Bayesian inference, reconstructing epidemic and evolutionary histories, detecting adaptation, and molecular epidemiology.
Antirequisite(s): Microbiology and Immunology 4750F/G.
Prerequisite(s): Biology 2581A/B; Biology 2290F/G; and either Biology 2244A/B or Statistical Sciences 2244A/B.
Pre-or Corequisite(s): Biochemistry 3383F/G if Biology 2290F/G has not been taken; Microbiology and Immunology 2500A/B is recommended.
Extra Information: 2 lecture hours, 2 laboratory hours. Cross-listed with Microbiology and Immunology 4750F/G.
Basics of data analysis and visualization using the R statistical programming language with a main focus on next generation sequencing (NGS) data. Topics include: fundamentals of NGS technologies; data formats and structures of sequencing data; effective analysis of different types of sequencing data (RNAseq, ATAC-seq and ChIP-seq) using R. Antirequisite: Medical Health Informatics 4850G.
Prerequisite(s): Biology 2581A/B; one of Biology 2244A/B, Statistical Sciences 2244A/B, Statistical Sciences 2858A/B; and registration in Year 4 of a BMSc, BHSc or BSc degree.
Extra Information: 2 lecture hours, 2 laboratory hours per week.
MHI 4980E (Seminar and Research Project)
Major research project and weekly seminar course for the Honours Specialization in Medical Health Informatics. Includes: i) theory and practice of research methodology and critical appraisal of research literature, ii) an independent research project supervised by faculty, and iii) preparation of a research proposal and final written research project report.
Prerequisite(s): Registration in Year 4 of an Honors Specialization in Medical Health Informatics.
Extra Information: Minimum 12 laboratory hours per week plus 3 seminar hours per week.