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How to analyze a microbiome

Microorganisms play a major role in the biosphere and within our bodies, but only a tiny fraction has been cultured so far. Microbiome data, that is the genetic information of microorganisms, is therefore an important window into the hidden microbial world.

Microbiome data analysis elucidates the composition of microbial communities and how it changes in response to the environment. When analyzing sequencing data, we learn whether microbial diversity differs across conditions and identify links between microbes. In brief, microbiome data analysis gives us a first idea of how a microbial ecosystem works.

This course will illustrate with the help of real-world example data how to carry out typical analysis tasks, such as comparing microbial composition and diversity, clustering samples and computing associations. If you plan to work with microbiome data, this course will get you up to speed.

The instructors are experienced bioinformaticians who are internationally known for their analysis of large-scale microbiome data sets.

What you'll learn

  • Basic knowledge of biology is required throughout the course.
  • Basic knowledge of statistics and programming is required to complete specific sections of this course.
  • How and why microbiome data are collected
  • How to extract species and function counts from sequencing data
  • The definitions of richness, evenness and diversity
  • How to compare diversity and microbial composition across conditions
  • How to compute and interpret taxon and function associations

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Length 7 weeks
Effort 1 - 3 hours per week
Starts On Demand (Start anytime)
Cost $49
From KU Leuven via edX
Instructors Karoline Faust, Lisa Röttjers
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Biology & Life Sciences

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Rating Not enough ratings
Length 7 weeks
Effort 1 - 3 hours per week
Starts On Demand (Start anytime)
Cost $49
From KU Leuven via edX
Instructors Karoline Faust, Lisa Röttjers
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Biology & Life Sciences

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