
Introduction to Statistical Methods for Gene Mapping
Learn about statistical methods used to identify genetic variants responsible for phenotypes.
Gallery
Description
This data course is a primer to statistical genetics and covers an approach called linkage disequilibrium mapping, which analyzes non-familial data and has been successfully used to identify genetic variants associated with common and complex genetic traits.
We hope many students find this introductory course interesting and are motivated to study further topics in statistical genetics to understand biological variation from statistical standpoints.
Previous knowledge of molecular genetics and basic statistical concepts, such as statistical tests and estimation, is required. Basic knowledge on genetic variations is offered at the start of the course.
Pricing:
Free
Free
Level:
Advanced
Advanced
Duration:
4 weeks, 2h-3h/week
4 weeks, 2h-3h/week
Educator:
Ryo Yamada
Ryo Yamada
Organization:
Kyoto University
Kyoto University
Submitted by:
Coursearena
Coursearena
Reviews
Would you recomment this course to a friend?
Discussion
There are no comments yet. Please sign in to start the discussion.
Other courses you might like