Alexis Groppi

R&D: AI predicts antibiotic resistance in bacteria; EOSC4Cancer matches patients to clinical trials via AI-powered analysis. Ongoing research on prunus evolutionary history and genetics.

📍 Bordeaux

Illsutration of a cybernetic antibiotic pill

Projects

Antimicrobial resistance prediction by machine learning approach

AI method for predicting the minimum inhibitory concentration (MIC) of several antibiotics for antimicrobial resistance (AMR)

Publications

Population genomics of apricots unravels domestication history and adaptive events

Among crop fruit trees, the apricot (Prunus armeniaca) provides an excellent model to study divergence and adaptation processes. Here, we obtain nearly 600 armeniaca apricot genomes and four high-quality assemblies anchored on genetic maps. Chinese and European apricots form two differentiated gene pools with high genetic diversity, resulting from independent

Team

Lab Publications

List of our recent publications

Team

New member: Slim Karkar

Slim is the latest addition to the CB&B Team. How did you come to choose your area of research? > I came to work in bioinformatics because I wanted to apply my computer skills to biomedical and life science. The human genome project was an amazing scientific step about to

Team

About us

Computational Biology and Bioinformatics is an interdisciplinary team at the CNRS institute in Bordeaux focused on multi-omics and imaging data integration. Our two main pillars are 1) Tackling real biological problems and 2) Combining different areas of technical expertise ...