| title | author | date | number-sections |
|---|---|---|---|
Introduction to Metagenomics |
Sina Beier, Rui Guan, Lajos Kalmar |
today |
false |
Metagenomics is an emerging technique to explore the composition of complex microbial communities, find species or genes of interest in samples with high diversity. This course covers multiple different approaches in metagenomics and covers the bioinformatics analysis part of those.
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- Questions you can ask and answers you may expect when using metagenomics approaches
- Understand the fundamentals, advantages, disadvantages and potential biases of different approaches
- Be aware of the requirements (knowledge, time, money, hardware) of different approaches
- Learn about different bioinformatics pipelines in metagenimics data analysis :::
This course was designed for researchers, healthcare and public health professionals with extensive wet-lab but limited bioinformatics experience.
The course builds up the knowledge gradually, making it suitable for everyone even without much previous knowledge. However, even if the course includes a short recap session, it is recommended to have a basic understanding of next-generation sequencing techniques, Unix / Linux comman line usage and R / RStudio usage.
Exercises in these materials are labelled according to their level of difficulty:
| Level | Description |
|---|---|
| {{< fa solid star >}} {{< fa regular star >}} {{< fa regular star >}} | Exercises in level 1 are simpler and designed to get you familiar with the concepts and syntax covered in the course. |
| {{< fa solid star >}} {{< fa solid star >}} {{< fa regular star >}} | Exercises in level 2 combine different concepts together and apply it to a given task. |
| {{< fa solid star >}} {{< fa solid star >}} {{< fa solid star >}} | Exercises in level 3 require going beyond the concepts and syntax introduced to solve new problems. |
About the authors:
- Sina Beier
Affiliation: Staff Bioinformatician, MRC Toxicology, University of Cambridge
Roles: writing; coding; revision - Rui Guan
Affiliation: Post-doc Bioinformatician, MRC Toxicology, University of Cambridge
Roles: writing; coding; revision - Oliver Lorenz
Affiliation: Bioinformatician, Wellcome Sanger Institute
Roles: writing; coding - Lajos Kalmar
Affiliation: Bioinformatics Facility Manager, MRC Toxicology, University of Cambridge
Roles: writing - original draft; conceptualisation; coding
Please cite these materials if:
- You adapted or used any of them in your own teaching.
- These materials were useful for your research work.