Applied Workshop on Microbiome Data Analysis

20 November 2025
📍 At the Heidelberg Center Latin America, Providencia, Santiago de Chile

Aims

This is a workshop for anyone who wants to perform basic analyses of microbiome data. Prior knowledge of R and basic statistics is strongly recommended.

The workshop is designed as a mixture of lectures and practical exercises. Please bring your laptop with you. We will use open-source datasets, tools and software to perform microbiome analyses and visualise the results (tidyverse, ggplot, SIAMCAT).

Materials will be made available to selected participants before the start of the workshop.

Lecturers

  • Justo Lorenzo Bermejo – Statistical Genetics Research Group, Heidelberg University, Germany
  • Nicolai Karcher – Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
  • Renzo Salazar Sánchez – Statistical Genetics Research Group, Heidelberg University, Germany
  • Erick Marcelo Riquelme Sánchez – Pontificia Universidad Católica de Chile
  • Andreas Teufel – Hepatology Section, Medical Faculty Mannheim, Heidelberg University, Germany

Registration

Please send:

-Name
-Email address
-Position
-Institution
-Field of research
-Motivation for participation (max. 50 words)

📧 Subject: Workshop Microbiome
to: EULAT.EradicateGBC@imbi.uni-heidelberg.de

Programme

Table

08:30
Registration
09:00
Welcome and introduction to the workshop
Justo Lorenzo Bermejo
09:45
Introduction to the microbiome and its investigation
Nicolai Karcher
11:00
Coffee break
11:15
Practical experience analysing microbiome data on gallbladder cancer and gallstone disease
Renzo Salazar
12:45
From microbiome profile to interventional approaches
Erick Riquelme
13:30
Lunch
14:30
Microbiome changes due to bariatric surgery
Andreas Teufel
15:15
Hands-on session
Nicolai Karcher
17:30
Workshop wrap-up
All participants
European Union

This project has received funding from State funds approved by the State Parliament of Baden-Württemberg for the Innovation Campus Health + Life Science Alliance Heidelberg Mannheim (MWK32-7531-27/5/2) and the European Union‘s Horizon2020 research and innovation programme

(Grant agreement N° 825741)