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1.0 course not designated as an essay course
0.5 course offered in first term
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0.5 course offered in first and/or second term
1.0 essay course
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0.5 essay course offered in first and/or second term
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Many courses at Western have a significant writing component. To recognize student achievement, a number of such courses have been designated as essay courses and will be identified on the student's record (E essay full course; F/G/Z essay half-course).
A first year course that is listed by a department offering a module as a requirement for admission to the module. For admission to an Honours Specialization module or Double Major modules in an Honours Bachelor degree, at least 3.0 courses will be considered principal courses.
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.
Bioinformatic methods for processing, analyzing, and integrating epigenomic data, the additional gene regulatory information beyond gene sequences. Students are introduced to best practices for quality control, regression analyses, differential analysis, and methods for functional enrichment. Data analysis will primarily use the R statistical programming language.
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.
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.
Major research project and weekly seminar course for the Honours Specialization in Medical Bioinformatics. 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.