Tag: phylogenetic tree analysis (natural selection)

A tool, derived from the SIB Resource OMA developed by the team of SIB Group Leader Christophe Dessimoz at the University of Lausanne, allows scientists to analyze their own custom genomes or transcriptomes in combination with publicly available...

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...

References form the basis of our comprehension of the world: they enable us to measure the height of our children or the efficiency of a drug. But when such yardsticks are faulty, doubts are cast on all the measurements that derive from them.

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’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 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...

What we do In the Computational Evolution Group, we develop phylogenetic tools in order to understand evolutionary processes. Using our phylogenetic methods, we aim to improve our understanding of past evolutionary and population dynamic processes...

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...

What we do The Computational Biology Group is involved in research and teaching in the areas of computational biology, biostatistics, and systems biology. We aim at supporting the rational design of medical interventions in complex and rapidly...

Having a pioneer ancestor could explain the excess of harmful mutations observed in recently colonized areas of Quebec, a recent study shows. Using a unique combination of genomic and historical data, researchers from SIB at the University of Bern,...

Organisms that are expanding their spatial range suffer from a drastic decrease of fitness over time due to the accumulation of harmful mutations. A study led by a team of scientists from the SIB Swiss Institute of Bioinformatics and the University...

Predicting when and how species arise is now possible with a new theoretical model using genome-wide data, developed by SIB researcher Simon Aeschbacher and colleagues. The study was published yesterday in the Proceedings of the National Academy of...