Centre for Research Informatics Training
Metagenomics data analysis
Event details
Sessions
- 24 May 2027 — 09:30 to 17:30 — Craik-Marshall
- 25 May 2027 — 09:30 to 17:30 — Craik-Marshall
- 26 May 2027 — 09:30 to 17:30 — Craik-Marshall
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About the course
Metagenomics provides powerful approaches for investigating the composition and function of complex microbial communities without the need to culture individual organisms. This workshop introduces the theory and applications of metagenomics for studying microbiomes and microbial ecosystems.
Participants will learn about a range of metagenomic approaches, from simple and cost-effective amplicon-based methods to advanced Hi-C metagenomics techniques that provide detailed insights into complex microbial communities. The course also introduces bioinformatic tools and workflows for analysing metagenomic data, including quality control, assembly, post-processing, and interpretation of results.
By the end of the course, participants should be able to select appropriate metagenomics approaches for their research questions, identify suitable bioinformatics workflows, and critically interpret metagenomic analyses.
Teaching combines presentations and demonstrations with practical sessions applying commonly used metagenomics workflows and tools.
Intended audience
This course is suitable for:
- biologists interested in microbiology and prokaryotic genomics
- researchers studying complex microbial communities and microbiomes
- participants interested in antimicrobial resistance and microbial ecology
- researchers seeking practical experience with metagenomics analysis workflows
Prerequisites
Participants should have:
- a basic understanding of high-throughput sequencing technologies
- a working knowledge of the UNIX command line
- a working knowledge of R
For an overview of high-throughput sequencing technologies, we recommend watching this iBiology video.
The following experience is recommended:
- a basic knowledge of phylogenetic inference methods
- running analyses on High Performance Computing (HPC) clusters
Course fees
All fees are per full training day.
| Category | Fee |
|---|---|
| Industry full charge | £130.00 |
| Academic / Government / charity concessionary | £65.00 |
| Cambridge University staff members / postdocs / visitors | £65.00 |
| Cambridge University registered students | Free |
| Cambridge University registered students non-attendance | £22.00 |
| Special events | Per event |
Payment options will be provided in booking confirmation emails sent after registration.
General information
More detailed information is available on our dedicated cancellation and non-attendance policy, waiting list, accessibility, privacy policies and terms & conditions pages.
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