Academic Calendar - 2023
Western University Academic Calendar. - 2023
Medical Bioinformatics
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.
Extra Information: 2 lecture hours, 2 laboratory hours per week. This course does not require any prior experience with computer programming.
Course Weight: 0.50
Return to top
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.
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.
Course Weight: 0.50
Return to top
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; and one of Biology 2244A/B, Statistical Sciences 2244A/B or Statistical Sciences 2858A/B.
Pre-or Corequisite(s): Microbiology and Immunology 2500A/B is recommended.
Extra Information: 2 lecture hours, 2 laboratory hours. Cross-listed with Microbiology and Immunology 4750F/G.
Course Weight: 0.50
Return to top
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: the former 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.
Course Weight: 0.50
Return to top
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.
Prerequisite(s): Medical Bioinformatics 3100A/B and registration in Year 4 of an Honours Specialization in Medical Bioinformatics.
Pre-or Corequisite(s): 1.0 course from: Medical Bioinformatics 4650F/G, Medical Bioinformatics 4750F/G or Microbiology and Immunology 4750F/G, Medical Bioinformatics 4850G.
Extra Information: 15 hours per week.
Course Weight: 1.50
Return to top
Medical Bioinformatics
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.
Extra Information: 2 lecture hours, 2 laboratory hours per week. This course does not require any prior experience with computer programming.
Course Weight: 0.50
Return to top
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.
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.
Course Weight: 0.50
Return to top
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; and one of Biology 2244A/B, Statistical Sciences 2244A/B or Statistical Sciences 2858A/B.
Pre-or Corequisite(s): Microbiology and Immunology 2500A/B is recommended.
Extra Information: 2 lecture hours, 2 laboratory hours. Cross-listed with Microbiology and Immunology 4750F/G.
Course Weight: 0.50
Return to top
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: the former 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.
Course Weight: 0.50
Return to top
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.
Prerequisite(s): Medical Bioinformatics 3100A/B and registration in Year 4 of an Honours Specialization in Medical Bioinformatics.
Pre-or Corequisite(s): 1.0 course from: Medical Bioinformatics 4650F/G, Medical Bioinformatics 4750F/G or Microbiology and Immunology 4750F/G, Medical Bioinformatics 4850G.
Extra Information: 15 hours per week.