Tag: genome reconstruction

From SARS-CoV-2 monitoring to HIV antiviral drug resistance detection, the SIB Resource V-pipe orchestrates several software packages to detect the genomic diversity of a virus population in a sample or individual. 

Thousands of genetic markers have already been robustly associated with complex human traits, such as Alzheimer’s disease, cancer, obesity, or height. A new statistical method, developed by Olivier Delaneau’s group at the SIB, offers game-changing...

Focus on the group's mission The Vital-IT team provides bioinformatics collaborative support to life science projects in Switzerland and abroad through collaborations with academic and industry partners. Thanks to its diverse expertise in...

Data management We organize, clean & control the quality of your datasets for subsequent analysis. In addition, we can process, transform and align your datasets to existing standards and make them available as a database. We can propose...

In 2019, the SIB Bioinformatics Awards will be presented for the 10th time, providing a great occasion to reach out to past laureates and ask them where they are now in their career. In this interview, we met with Inanc Birol, recipient of the...

What we do We are interested in studying ecological and evolutionary factors that determine the structure, function and diversity of microbial communities – with a focus on the ocean ecosystem and the gastrointestinal tract of animals and humans....

What we do The group’s research is focused on elucidating interactions between gene evolution and gene function through developing computational approaches to interrogate evolutionary and functional genomics data. We are developing quantifications...

What we do The Applied Computational Genomics Team focuses on theoretical and computational aspects of modelling the process of genome evolution and adaptive change. With the growing size and complexity of molecular data, we strive to keep pace by...

What we do In the Bioinformatics Unravelling Group of the University of Fribourg (BUGFri), we support life science researchers by providing expertise in data analysis of next-generation sequencing experiments, or any large-scale biological...

What we do At the interface of biology and computer science, we seek to better understand evolutionary and functional relationships between genes, genomes and species. Key underlying questions are: How can we extrapolate current biological...