Tag: basic research

What we do The multidisciplinary research activities of the group combine molecular simulations, structural bioinformatics, machine learning and experimental validation. The group contributed to the development of algorithms for overcoming the...

The protein responsible for the fusion between egg and sperm may have appeared long before the organisms that rely on it for their sexual reproduction (e.g., plants and animals).

What we do We aim to understand how proteins translate recognition of endogenous biomolecules (or pharmaceutical drugs) into tightly regulated patterns of cellular signaling. We use techniques such as atomistic structural modeling and simulations...

What we do Discovering how genetic variation leads to changes in traits underlies the study of human disease and the understanding of the evolutionary process. What makes each human individual different and the diversity of life on earth are, to...

Have you ever wondered how bioinformatics contributes to health and biodiversity? What is the SIB Swiss Institute of Bioinformatics – in simple words?

Focus on the group's mission The Swiss-Prot team excels in the art of generating machine-readable knowledge of biology from the ever growing body of scientific publications. It is harnessing the power of deep learning to accelerate literature...

What we do We develop computational methods and software to study evolutionary processes across different organisms including plants, vertebrates, and invertebrate groups and ultimately understand biodiversity changes across space and time. We use...

What we do Our overarching goal is to quantify the relative roles of ecological and evolutionary forces for the buildup and maintenance of diversity. Specifically, we study the influence of fitness differences and fitness interactions (epistasis),...

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...

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.

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.

What we do The group Multi-omics for healthcare materials focuses on deconvolution of disease-associated cellular signaling networks in order to inform precise imunoengineering solutions. Activities of the group are centered on generating and...

What we do The Biostatistics platform of the Faculty of Biology and Medicine at UNIL acts as a main entry point for questions related to biostatistics and data analysis. The platform delivers services which cover the entire scientific process...

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...

What we do The responsibility of the proteome informatics at the FGCZ is to evaluate and provide services to the mass spectrometry scientists at our center, ranging from sample annotation, data archiving, processing, analysis, visualization up to...

What we do The Snijder Lab is pioneering multiplexed image-based drug screening in patient biopsies, a technique we call pharmacoscopy, for both systems biology and personalized medicine. In an intervention trial, pharmacoscopy-guided treatments...

Researchers from UNIL, UNIGE and SIB provide the researchers’ community with an extremely powerful computer tool to facilitate the interpretation of the genome’s Big Data

A short film to revisit the 14th [BC]2 Conference – one of the key bioinformatics events in Europe, which is organized by SIB – around the theme of Big Data in Molecular Medicine.

Over 40% of our genome is made of transposable elements - self-replicating DNA sequences that have the ability to change their position within a genome.

What we do Our group is interested in the regulatory machinery controlling gene expression. We investigate it by analyzing population scale multi-omics data sets (e.g. genomics, transcriptomics, epigenomics, proteomics) in which we use genetic...

SIB Director Christine Durinx was interviewed by L’AGEFI, a Swiss daily newspaper focused on economics, finance and politics.

Being able to visualize the transmission of a virus in real-time during an outbreak, or to better adapt cancer treatment on the basis of the mutations present in a tumour’s individual cells are only two examples of what molecular Big Data can bring...

Join the international [BC]2 conference and EMBO meeting at BASEL LIFE from 9–12 September: a unique opportunity for today’s scientists to get insights and share the latest discoveries, resources and approaches to make sense of genomic and...

What we do Sensory neural systems display stunning variation. Our aim is to investigate their evolution between species and populations. How do novel neural circuits emerge (and how are they lost)? What are the evolutionary forces that modify...

Phylogenetic trees built from the genomes of strains of a bacterial species do not mean what most people think they do. This is what Erik van Nimwegen, SIB Group Leader and Associate Professor in Computational Systems Biology at the Biozentrum...

An ERC Advanced Grant has been awarded to SIB Group Leader Michel Milinkovitch for his research project entitled "Identifying how Evolution exploits physical properties of tissues to generate the complexity and diversity of Life (EVOMORPHYS)”.

A new method to analyze genetic data, developed by two SIB Groups, shows that the relationships between living species, from bacteria to plants and animals, are different from previous estimates. Created by the group led by Nicolas Salamin and the...

Each year with the Overton Prize, the International Society for Computational Biology (ISCB) recognizes the outstanding achievements of an early to mid-career scientist who has made a significant contribution to the field of computational biology....

Robert Waterhouse, SIB Group Leader at the Department of Ecology and Evolution at the University of Lausanne, and his team discovered that a set of genes in mosquitoes does not seem to evolve in the same way it does in other insects...

Integrating biological and chemical knowledge for a more complete understanding of biological systems – and better links between SIB and ELIXIR Core Data Resources.

Take a closer look at an SIB Resource dedicated to making protein modelling accessible to life scientists from around the world: on the occasion of its 25th anniversary, we put a few questions to the SWISS-MODEL development team...

The genomic history of the Americas’ peopling was recently uncovered from ancient DNA by a team of over 50 researchers, with SIB Group Leader Anna-Sapfo Malaspinas at the University of Lausanne co-leading the bioinformatics analyses.

This week, several deep learning methods have led to remarkable advances at the global event for the evaluation of protein structure prediction methods: the 13th CASP experiment. Torsten Schwede and Matteo Dal Peraro, two SIB Group Leaders involved...

The hills and valleys of evolutionDuring the course of the 20th Century, the American population geneticist Sewall Wright was the first to depict evolution as landscapes...

What we do The overall objective of our research is to understand the role that structure and dynamics play in the definition of the function of biomolecules. In order to perform their function, proteins and other biological molecules undergo a...

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....

Discover the spirit behind Switzerland’s vibrant community of scientists dedicated to making sense out of biological data...

Why do DNA loops forming different knot types sediment at different speeds? Researchers from SIB, UNIL and EPFL joined forces with Polish colleagues to answer this question.

What we do We develop statistical and computational methods to answer biological questions from big data, from genomic sequence data to images. Our work is motivated by both the wealth of biological data currently being generated, as well as by...

What we do The group is active in the fields of comparative genomics and shotgun metagenomics. We study molecular evolution, develop approaches to genomics data analyses, and implement computational pipelines. We apply evolutionary models to...

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 We focus on the bioinformatic analysis and integration of state-of-the-art functional genomics data that we obtain through close collaboration with experimental biologists (genome sequences, gene and protein expression, metabolomics,...

What we do In the Evolutionary Systems Biology Group, we study the evolution and evolvability of biological systems at all levels of biological organization, from genes and genomes to biological networks and whole organisms. We develop...

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 We develop and apply computational and – most recently – experimental methods to analyse and design complex cellular networks, with a focus on large-scale mechanistic approaches. The group comprises biologists, computer scientists,...

What we do The main research interest of the Genome Systems Biology (GSB) Group is the structure, function, and evolution of the genome-wide regulatory networks that cells use to control their gene expression state. Typical questions that we are...

What we do We are the NEXUS Personalized Health Technologies at the ETH Zurich. Our unit offers highly customizable bioinformatics, biostatistics and software engineering services for projects in the field of biomedical research and development....

What we do In the Bioinformatics / Systems Biology Group, we study the dynamics of entire biological systems, both at evolutionary time-scales and at shorter time-scales – down to a few minutes. We often work in close collaboration with laboratory...

What we do In the Evolutionary Bioinformatics Group, we are interested in animal genome evolution with a focus on questions arising from evolutionary developmental biology (Evo-Devo). For this, we develop methods and databases to extract reliable...