How to make biomedical research data able to interact?

Swiss specialists in data semantics define the national strategy for the interoperability of research data to enable a strong policy of promoting personalised medicine.

Fast and automated interpretation of single-cell RNA-seq data

If you are a researcher using single-cell transcriptomics to study immunology-related problems, you are probably on the lookout for a way to efficiently characterize cell states. This in silico talk presents a powerful tool (ProjecTILs) and approach using reference atlases.

Joining a European consortium to improve psoriatic arthritis diagnostic and treatment

European research organisations, pharmaceutical companies, SME’s and patient organisations have joined forces as partners to develop innovative personalised treatment options for people affected by psoriatic arthritis. SIB is delivering core data expertise to the consortium, called HIPPOCRATES, and acts as its data coordination centre.

New insights into the molecular paths leading to type 2 diabetes

Thanks to a unique dataset from living donors, and innovative multi-omics analysis, an international research team led by investigators at the Paul-Langerhans-Institute Dresden (PLID), the SIB Swiss Institute of Bioinformatics and the Max-Planck-Institute (MPI) of Biochemistry has shed some light into the processes driving islet dysfunction.

Applying user-centred design in life science resources

If you are interested in making the most of your scientific website, database or software, learning how to convert user feedback into new developments is key. And putting the user at the centre was a key aspect of the redesign of Expasy, our user-friendly knowledge discovery portal for life science.

SNSF’s Optimus Agora prize 2021 goes to “In the light of evolution”

How to popularize evolution and phylogenetics? The new project “In the light of evolution” aims to foster greater public interest as well as a practical understanding of this fundamental but rather abstract theme.

MetaNetX/MNXref: A unified namespace for metabolic models

Capturing biological pathways is a massive database challenge: it implies representing metabolites in a way that is understandable to both humans and computers, and which enables their interconnection through the biochemical reactions they engage in.

When genetics makes ancient civilisations speak

Based on the analysis of ancient DNA, a study co-directed by SIB Group Leader Anna-Sapfo Malaspinas at the Department of Computational Biology of the University of Lausanne sheds light on the settlement of Greece during the Bronze Age.