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 triage and information extraction, thus delivering the most accurate and informative evidence to users in a timely manner.

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Biocuration and software development

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 different data storage solutions depending on project needs (e.g. federated versus integrated). We are specialized in handling different types of omics data (RNA-Seq, metabolomics, lipidomics, gene expression, proteomics, transcriptomics, microbiomics) as well as sensitive clinical data, for which we provide solutions through latest-generation encrypted systems (e.g. setting up federated database solutions for remote analysis).

Our team of biocurators and software developers annotate, maintain and develop a range of internationally renowned expert-curated knowledge resources:

  • Two ELIXIR Core Data Resources: UniProtKB/Swiss-Prot protein sequence database, the most widely used protein information resource in the world, and the Rhea database of biochemical reactions
  • The HAMAP and PROSITE databases of protein families and domains, the ENZYME database of enzyme nomenclature, the SwissLipids database of lipid structures and biological knowledge, the ViralZone portal, and SwissBioPics, a resource of interactive cellular images.
  • The group also participates in the development and maintenance of many of the protein analysis tools listed on Expasy, the Swiss Bioinformatics Resource Portal. Expasy's proteomics tool.

The team also supports the development of tools and resources for Swiss researchers and clinicians, such as the SVIP-O platform for the clinical interpretation of cancer variants.

Supporting AI with machine-readable biological knowledge

Knowledgebases like UniProtKB are an essential part of the AI ecosystem; the collective biological knowledge they contain, in the form of pathways, ontologies and networks, can be used to create generalizable and interpretable models that reveal actionable biological mechanisms.

Find out more about the Group’s activities

Publications

 

Members

View our group members here