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Research stream programs: current students
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Graduate course list
- LMP1001/1002/1003: Graduate Seminars in Laboratory Medicine and Pathobiology
- LMP1005H: Fundamentals of Research Practice
- LMP1100H: Cellular imaging in pathobiology
- LMP1101H: Basic concepts in inflammatory/autoimmune arthritis
- LMP1102H: Clinical concepts in inflammatory/autoimmune arthritis
- LMP1103H: Tissue injury, repair and regeneration
- LMP1105: Current understanding of Atherosclerosis
- LMP1106H: Molecular Biology Techniques
- LMP1107H: Bioinformatics in LMP
- LMP1108H: Genome analysis in medicine
- LMP1110H: Neural Stem Cells - brain development and maintenance
- LMP1111: Introduction to R and the Analysis of Single Cell Data
- LMP1200H: Neoplasia
- LMP1203H: Basic principles of analytical clinical biochemistry
- LMP1206H: Next generation genomics in clinical medicine
- LMP1207H: Mass spectrometry, proteomics and their clinical applications
- LMP1208H: Molecular clinical microbiology and infectious diseases
- LMP1210H - Basic Principles of Machine Learning in Biomedical Research
- LMP1211H: Foundations in Musculoskeletal Science
- LMP2004H: Introduction to Biostatistics
- Fees, stipends, awards & grants
- Program transfers
- LMP Workshop Program
- Time off, leave and withdrawals
- Academic appeals
- Program completion for MSc and PhD
- Graduate forms
- Student services and support
- Communicate your research: the 3MT in LMP
- Mentoring & professional development for graduate students
- Master of Health Science (MHSc) in Laboratory Medicine
- Master of Science in Applied Computing (MScAC) Artificial Intelligence in Healthcare
- Collaborative Specialization in Musculoskeletal Sciences (CSMS)
- Master of Health Science (MHSc) in Translational Research
- Student Union: CLAMPS
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- LMP1107H: Bioinformatics in LMP
LMP1107H: Bioinformatics in LMP
Who can attend
Graduate students (MSc and PhD) in the research stream.
Course enrollment is capped at 20 students.
We give preference to LMP graduate students.
Course description
Bioinformatics is used in all areas of biology.
This module will introduce students to approaches used in the analysis of molecular sequence data.
This course is not intended for those who primarily intend to use bioinformatics, but rather to allow you to understand the results of work that complements third research approaches.
Each week, we will discuss a different topic with hands-on use of online tools to analyze molecular data.
Course coordinator
lmp.grad@utoronto.ca for administrative queries.
Timings and location
This course is offered every year in the Fall session. (6 weeks)
Wednesdays 1:10 - 3:00 pm
Location: TBA
Evaluation methods
Weekly assignments: 60%
Final assessment: 40%
Schedule
All sessions are led by Dr. David Irwin.
Date |
Topic |
---|---|
October 9, 2024 |
Databases / data retrieval / blast searches |
October 16, 2024 |
Analysis of DNA sequences |
October 23, 2024 |
Analysis of protein sequences |
October 30, 2024 November 6, 2024 |
Alignment of Sequences No Class |
November 13, 2024 |
Evolutionary analysis |
November 20, 2024 |
Final assessment |