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.

A shortcut to the genetics of molecular circadian rhythm

Do you usually wake up feeling rested but not hungry? It may be the sign of a particularly large meal the evening before – or simply reflect the difference in circadian rhythm between your gut and brain.

Discover the SIB Remarkable Outputs 2020

Discover the SIB Remarkable Outputs 2020, a list of ‘must-read’ works by SIB Members produced in 2020 and selected by a committee of SIB Group Leaders and Researchers.

SIB resources supporting SARS-CoV-2 research

SIB experts and resources are taking part in the global effort to develop dedicated data services, analysis tools and improve knowledge sharing to fight the COVID-19 pandemic.

The eventful settlement history of South Pacific islands

An international research team has reconstructed the human settlement history of the South Pacific by sequencing a large number of genomes from this region. The results challenge current knowledge about the first settlement of the Vanuatu archipelago and Polynesia.

Accelerating global COVID-19 research with a Swiss SARS-CoV-2 Data Hub

Over the past weeks and with the threat of emerging variants growing, pressing calls for an open sharing of SARS-CoV-2 sequencing data were issued by the scientific community. Such sharing would allow fast, representative and large-scale research on the virus.

How to track pandemic variants faster

A global group of researchers is calling for better integration of viral genetics, bioinformatics, and public health to enable better pandemic response now and better pandemic preparedness in the future.