This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.
TIME ZONE – UTC+2
By the end of the course participants should:
1. Be familiar with different workflows involved in the analysis of large-scale multi-
2. Understand how to generate taxonomic, functional and strain profiles from
metagenomic sequencing data.
3. Be familiar with applying a multivariate statistical framework to generate hypotheses
and account for confounding covariates.
4. Be able to use exploratory data visualizations techniques and visualize results from
the statistical analysis using R.
Time zone – GMT
Availability – 20 places
Duration – 1 day
Contact hours – Approx. 7 hours
ECT’s – Equal to 1 ECT
Language – English
The course will be held virtually and consists of a mixture of theoretical and practical
sessions. The concepts and tools will be first described and explained, followed by a lab
session with hands-on experience of applying the tool to provided data sets. At the end of
the day there will be additional time for questions.
RStudio – https://www.rstudio.com/products/rstudio/download/
Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact firstname.lastname@example.org. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.
Friday 10th – Classes from 09:00 to 18:00
Lecture 1 – general Introduction
Lecture 2 – Introduction to microbial community analysis
Practical 1 – Introduction to R and R notebook
Lecture 3 – Metagenomic data visualisation and exploratory analysis with cMD
Practical 2 – Metagenomic data visualisation
Lecture 4 – Statistics for microbial multi-comics data, methods for multi-comics integration
Practical 3 – Multivariate analysis (Linear models and/or MaAsLin2
Lecture 5 – Large-scale multi-omics studies
Conclusions – Discussion, questions, wrap up!
Melanie is a computational biologist studying the human microbiome and its role in health and disease as an Emmy Noether Group leader at the Technical University in Munich, Germany. In many diseases, such as chronic inflammatory bowel diseases and immune-related diseases, an imbalance of the microbial communities, that live in and on our bodies, has been observed. The underlying reasons and consequences of this imbalance are largely unknown though. Previous studies have identified taxonomic changes of the microbiome and disease-associated bacterial species. However, different strains of the same species can substantially differ in their functional capacities. Therefore, it is crucial to investigate functional and metabolic differences of microbial strains, in order to develop effective therapies and strategies to prevent these diseases. We are addressing these questions with computational analyses of multi-omics data in combination with experimental validation of the immunogenicity and inflammatory activity of the identified strains. Our research provides insights into the potential mechanisms of the human microbiome in autoimmune and inflammatory diseases.
Works at – Technical University of Munich
Teaches – Introduction to Multi’omics Data Analysis of Microbial Communities (MOMC)