Machine learning to accelerate discovery of antimalarial properties in plants

A powerful predictive framework that can guide future research

Legal perspectives on Open Research Data in a biomedical context

While Open Research Data (ORD) is widely considered as a core principle contributing to common knowledge, it raises complex legal issues in the field of sensitive and non-sensitive data alike.

[BC]2 Conference: Early bird registration until 30 June 2023, don't wait!

[BC]2 Basel Computational Biology Conference is the scientific meeting of the SIB Swiss Institute of Bioinformatics. Organized every two years, [BC]is Switzerland’s leading event in the domain of Computational Biology and one of the major events of its kind in Europe, bringing together around 500 scientists from academia, industry and healthcare.

Bringing meaning to biological data: knowledge graphs meet ChatGPT

Can technologies like ChatGPT support life science researchers in exploring data they are not familiar with? This is the question our new Knowledge Representation unit investigated, through concrete examples from SIB’s leading open databases and software tools.

Towards a national curriculum for life science Data Stewards

SIB has joined forces with the University of Lausanne and several Swiss institutions to launch a new project to foster training and a national curriculum for Data Stewards, and is in charge of the life science part.

Discover the SIB Remarkable Outputs 2022

Discover the 10 best achievements and work produced by our scientists over the last year.

A new study unravels why partners often share similar traits

From education to blood pressure, partners in couples often tend to present striking trait similarities. For the first time, the reasons for this are teased apart by SIB’s Zoltán Kutalik and his team.

Extreme dwarfs and giants more likely to go extinct

Islands are biodiversity hotspots and home to animal species with unique features, including dwarfs that evolved to very small sizes compared to their mainland relatives, and giants. An international study now shows that those species have a higher risk of extinction. The findings are supported by a software developed by SIB’s Daniele Silvestro at the University of Fribourg.