Deciphering function and evolution of biological systems

The main focus of this computational biology group is the analysis of microbiome data, from both the human gut and the environment. We integrate metagenomic data with associated metadata and other omics data to develop a global understanding of the interactions between bacteria and their environment and to gain insight on the development and progression of diseases. Current and past projects include:

In addition, we are involved in projects with other groups at EMBL, e.g. to study the interactions of proteins in the model bacterium Mycoplasma pneumoniae. For more information on our research, please also see our homepage on the main EMBL website.

Selected recent publications

  • Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations
    Nishijima et al., Cell, 2024

  • Paternal microbiome perturbations impact offspring fitness
    Argaw-Denboba et al., Nature, 2024

  • SPIRE: a Searchable, Planetary-scale mIcrobiome REsource
    Schmidt et al., Nucleic Acids Research, 2024

  • Functional and evolutionary significance of unknown genes from uncultivated taxa
    Rodríguez del Río et al., Nature, 2023

  • Drivers and determinants of strain dynamics following fecal microbiota transplantation
    Schmidt et al., Nature Medicine, 2022

  • A faecal microbiota signature with high specificity for pancreatic cancer
    Kartal et al., Gut, 2022


Research highlights from the past

Heidelberg old town

Recent lab news on Mastodon

profile avatar @BorkLab 3/31/25, 5:48 PM

Apparently the job application already appears closed, despite the deadline being today. Please contact us via email instead if you would like to apply!


profile avatar @BorkLab 3/6/25, 1:34 PM

We're starting to analyse the incoming microbiome data, with several researchers using mainly sequence-based approaches. Now we are looking for additional expertise: if you are working in environmental modelling, soil ecology, biogeochemistry, ecophysiology, systems biology, etc. please apply! (2/2)




profile avatar @BorkLab 11/13/24, 5:07 PM

Hot off the press: "Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations" sciencedirect.com/science/arti

Here is our thread on the preprint mstdn.science/@BorkLab/1121225

If you have human gut microbiome data (metagenomics or 16S), you can use our tool at microbiome-tools.embl.de/mlp/ to predict cell counts, so that you can find out if any microbiome changes in your study population are actually driven by changes in bacterial cell counts