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Professional Course

How to Analyze a Microbiome

edX, Online
Length
7 weeks
Price
49 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Length
7 weeks
Price
49 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Visit this course's homepage on the provider's site to learn more or book!

Course description

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.

Upcoming start dates

1 start date available

Start anytime

  • Self-paced Online
  • Online
  • English

Who should attend?

Prerequisites

  • Basic knowledge of biology is required throughout the course.
  • Basic knowledge of statistics and programming is required to complete specific sections of this course.

Training content

Introduction

Study guide, R basics and a help forum for programming questions

Introduction to microbiome data

Sequencing techniques, data types (16S, WGS, metadata), example applications

From sequences to counts

Quality control of reads, taxonomic and functional assignment

Comparing microbiomes

Relative versus absolute abundance, taxonomic and functional richness, evenness and diversity

Ordination

Dimension reduction: arranging samples according to their taxonomic and functional composition in two-dimensional space

Taxon/function associations

Network construction: computing and interpreting associations between taxa and functions

Your favourite microbiome

Databases and journals for microbiome data and guidelines for doing your own analysis

Final exam

Complete the course by passing the quiz or by completing a microbiome analysis

Course delivery details

This course is offered through KU Leuven, a partner institute of EdX.

1-2 hours per week

Costs

  • Verified Track -$49
  • Audit Track - Free

Certification / Credits

What you'll learn

  • 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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