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- LMP330H1 – Genetic and Computational Modeling in Human Development and Disease
LMP330H1 – Genetic and Computational Modeling in Human Development and Disease
Course description
Enrolment is limited to students in the Pathobiology specialist program.
This course introduces the use and impact of genetic model systems and organisms in exploring aspects of human reproduction, development, aging and disease.
We will highlight ethical issues in animal research, genetic manipulation, and disease modeling.
This course also introduces the bioinformatics concepts and methods used in biological data analysis.
By the end of this course you will be able to:
- paraphrase fundamental principles in model species and computational modeling
- describe the strengths and weaknesses of models used to address open questions in development and disease
- explain how to apply genetic and computational models to address a scientific question.
Course coordinators
Office address: 1 King’s College Circle, MSB Room 6211
david.irwin@utoronto.ca
Office address: 661 University Ave, MaRS Centre West Tower Room 1513
karim.mekhail@utoronto.ca
Office address: UHN, 190 Elizabeth St, 3rd floor
bowang.wang@utoronto.ca
Teaching assistant
TBA
Term |
Fall 2024 |
Class time |
Tuesday 9:10 - 11 am |
Tutorial time |
Tuesday 11:10 am - 12 pm |
Office hours |
Contact TA or Course Coordinators |
Course details
- Hours: 24L/12T
- Prerequisite information: Enrolment is limited to students in the Pathobiology specialist program
- Prerequisite: LMP200H1, BIO260H1/HMB265H1
- Exclusions: LMP408H1
- Recommended preparation: None
- Distribution requirements: Science
- Breadth requirement: Living Things and Their Environment (4)
- Enrolment limits: 35 students
Student evaluation
The grade for this course (LMP330) will be divided among assignments, participation in a debate, and a final assessment. There will be three assignments and the class will be divided into three groups for the debate (see Quercus for more details). The final assessment will cover material from all lectures in the course.
Assignment 1
- Issued on: September 27, 2024
- Due date: October 13, 2024
- Coordinator: Dr. David Irwin
- Percentage: 15%
Assignment 2
- Issued on: September 27, 2024
- Due date: November 13, 2024
- Coordinator: Dr. Karim Mekhail
- Percentage: 15%
Assignment 3
- Issued on: September 27, 2024
- Due date: December 4, 2024
- Coordinator: Dr. Bo Wang
- Percentage: 15%
Debate
- Issued on: September 27, 2024
- Due date: December 6, 2024
- Coordinator: All
- Percentage: 15%
Final Assessment
- Issued on: September 27, 2024
- Due date: TBA
- Coordinator: All
- Percentage: 40%
See information on Academic Integrity
Schedule
This course is a lecture-based course and attendance is expected for you to acquire complete lecture details.
The course is organized as one weekly 2-hour lecture followed by a 1-hour tutorial period. Some classes may extend into the tutorial period.
We will provide activities outside of class time to reinforce course concepts and aid in understanding. We will make draft PowerPoint slides and other lecture-specific material available on the Quercus website prior to lectures. Final versions of class lecture PowerPoint slides may not be posted to Quercus.
Lecture topics are subject to change. We will list finalized lecture topics in the official syllabus
Date |
Topic |
Coordinator |
Lecturer |
---|---|---|---|
September 12, 2024 |
Introduction to model species |
||
September 19, 2024 |
Human genomics and biomedical genetics |
||
September 26, 2024 |
Drosophila melanogaster models |
Dr. R. Fernandez-Gonzalez |
|
October 3, 2024 |
Stem cell/iPs models for human development and disease |
I. Rogers |
|
October 10, 2024 |
Yeast models and human disease |
||
October 17, 2024 |
Mouse models and human disease |
||
October 24, 2024 |
Caenorhabditis elegans models |
P. Roy |
|
October 31, 2024 |
Zebrafish in vascular development |
||
November 6 - 10 |
Reading Week |
|
|
November 14, 2024 |
Biomedical databases |
G. Bader |
|
November 21, 2024 |
Bioinformatic and multi-omnics |
B. Haibe-Kains |
|
November 28, 2024 |
Introduction to machine learning |
||
December 5, 2024 |
All scientific debate of genetic model papers |
All |
All |
TBA |
Final Assessment |
|
|
Recommended reading or text book
Links to recommended/required readings (journal articles) will be posted on Quercus.