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ONLINE COURSE – Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) This course will be delivered live
10th March 2023
£100.00
Friday, March 10th, 2023
Course Format
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.
Course Program
TIME ZONE – UTC+2
Course Details
approaches for the analysis of microbial community profiles with a focus on metagenomic
sequencing data. We will explain how taxonomic and functional profiles are generated from
raw sequencing data, introduce different bioinformatic approaches to process sequencing
data, followed by multivariate statistical analysis and different visualization techniques. The
course will consist of a mixture of lectures and hands-on tutorials. The practical part of the
course will focus on the analysis of publicly available multi-omics profiles.
By the end of the course participants should:
1. Be familiar with different workflows involved in the analysis of large-scale multi-
omics studies.
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.
Intended Audiences
Venue
Course Information
Time zone – GMT
Availability – 20 places
Duration – 1 day
Contact hours – Approx. 7 hours
ECT’s – Equal to 1 ECT
Language – English
Teaching Format
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.
Assumed quantitative knowledge
course will not cover data generation aspects (sample collection, library preparation etc) but
focus on how to analyse sequencing data and taxonomic/functional microbial community
profiles.
Assumed computer background
short introductory labs for both to make the course more accessible to a wider audience.
We also encourage attendees to get familiar with zoom prior to the course.
Equipment and software requirements
We encourage all attendees to keep their camera on during the lectures and tutorials. Zoom
should be installed prior to the course. For the tutorials will use R Studio Cloud which you
can access through your browser. The setup instructions for R Studio Cloud will be sent prior
to the course start.
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 oliverhooker@prstatistics.com. 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.
COURSE PROGRAMME
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!
Course Instructor
Dr. Melanie Schirmer
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)