Introduction to Statistical Methods for Gene Mapping - Kyoto University

edX

Course

Online

Free

Description

  • Type

    Course

  • Methodology

    Online

  • Duration

    4 Weeks

  • Start date

    Different dates available

Learn about statistical methods used to identify genetic variants responsible for phenotypes. With an apprenticeship you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Undergraduate molecular genetics knowledge

Basic concepts of statistical tests and estimation

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Reviews

This centre's achievements

2017

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 8 years

Subjects

  • Gene Mapping
  • Data analysis
  • Statistics
  • Phenotypes
  • Genetics

Course programme

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.

Additional information

Teacher:Ryo Yamada Ryo Yamada is Professor of Statistical Genetics at Department of Medicine, Kyoto University.

Introduction to Statistical Methods for Gene Mapping - Kyoto University

Free