Tag: ontology

SIB has joined forces with the University of Lausanne and several Swiss institutions to launch a new project to foster training and a national curriculum for Data Stewards, and is in charge of the life science part.

Epigenomics, the study of the complete set of epigenetic modifications on the genetic material of a cell, underwent a profound Big Data revolution over the past years. To enable research and downstream discoveries by making the most of the data...

Several ORD projects led by or involving SIB Members have been awarded funding by swissuniversties.

The vision to enable biological Open Research Data in Switzerland just onboarded new key partners.

The aim of the SwissBiodata ecosystem (SBDe) is to boost Switzerland’s capacity to convert research data into knowledge and innovation. Led by SIB, the University of Bern, and 15 other Swiss institutions, the proposal has been submitted to the...

Organizing biological and biomedical data for sharing and reuse – the ambition of Open Research Data – is at the core of SIB’s activities. From coordinating data in pan-European health projects according to the FAIR principles, to teaching life...

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...

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...

Exploring the 160 databases and software tools developed by SIB Groups has never been this easy. Created in 1993, Expasy, the SIB bioinformatics resource portal, is now available as a new release, after a major overhaul.

Providing biologists with a single-entry-point to the wealth of information contained in complementary data resources.

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...

How does this insect, which is an important model species, feed on poisonous milkweed seeds and use the acquired toxins for its own protection and bright red warning colouration? To explore these phenomena, an international study including SIB...

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....

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

Hundreds of SIB Members from across Switzerland came to Biel/Bienne on 26 June to attend the SIB Days – our 2-day internal conference and a unique opportunity for the bioinformatics community to connect.

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 Text Mining Group, we carry out activities in text analytics applied to health and life sciences. Previously hosted by the University Hospitals of Geneva, our group moved to the University of Applied Sciences Geneva (HES-SO- HEG...

What we do We specialize in Information Extraction from biomedically relevant textual sources, such as the scientific literature, clinical records, or social media. We focus in particular on the extraction of domain-specific entities (such as...

What we do In the Proteome Informatics Group (PIG), we are involved in software and database development for the benefit of the proteomics and glycomics communities. These resources are made available through the Expasy server. Software tools...

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 We aim to use a combination of bioinformatics and experimental methodologies to increase knowledge about the function of the 20,000 protein-coding genes in the human genome. Our main mission is the development of neXtProt, a human...

What we do The Computational Oncogenomics Group works on the computational analysis of structural genome variations in cancer, centred around our arrayMap and Progenetix resources of curated molecular-cytogenetic and sequencing data.Specific...

Identifying and supporting SIB Resources Every four years, the Institute’s External Scientific Advisory Board (SAB) provides recommendations on the portfolio of SIB-supported Resources. By taking into account competitive criteria – such as the...