Microbiome Analysis
Full course description
In the past decade, research has increasingly revealed the importance of relationships between macro-organisms (plants, animals) and complex communities of micro-organisms living inside and on them - their microbiota. Microbiota can consist of hundreds and thousands of distinct microbial species that form complex interactions with each other and their host. Due to the complexity and inability to isolate and culture many microorganisms, we had limited insides in microbiota composition and dynamics. Luckily, development of the next-generation sequencing (NGS) technologies gave the ability to retrieve an unprecedented amount of genomic information and to get insights into microbiota genetic makeup. However, processing of NGS data and extraction of useful information are not trivial tasks and requires the application of diverse computational and statistical methods. In this skill, you will learn how to process NGS data, extract information, and analyze microbiome datasets. You will also familiarize yourself with the literature in this field in order to explain the applications and importance of microbiome research.
Course objectives
After this practical, students should be able to:
- Process and analyze microbiome data from high-throughput sequencing;
- Correctly interpret microbiome data analyses;
- Assess the methodologies used in microbiome research publications;
- Contextualize their data analyses with knowledge of microbiome research and its applications in medicine, agriculture, and ecology.
Prerequisites
-
BIO2007 or INT3007 or MAT2007
Co-requisite
- None
Recommended
Basic familiarity with computer programming and command line interfaces + BIO3003 and/or BIO3010
Recommended reading
Various primary literature articles and the course manual.