Satellite event of ECCB 2026

Communities Day

The Communities Day is an independent, community-driven satellite event of ECCB 2026, taking place on Friday 4 September 2026, at the conference venue.

This day is dedicated to SIB Resources, platforms, and projects, offering a space for SIB communities to meet, exchange, and showcase their work.

Independent satellite events are organized by SIB communities, including sessions on pathogen data platforms, the EPD 40th Anniversary, the ELIXIR FAIRification Workshop, Frugal Computational Biology, and the ELIXIR Single-Cell Omics Community.

Links to the individual Communities Day events will be shared here. Please note that registrations are managed independently by each organizer and not through the ECCB registration system.

The Eukaryotic Promoter Database EPD's 40th anniversary symposium: Sunsetting and outlook to the future:

The Eukaryotic Promoter Database EPD's 40th anniversary symposium: Sunsetting and outlook to the future:

Philippe Bucher - Swiss Institute of Bioinformatics (Switzerland)

Full day event

EPD is a biodata resource supporting promoter research, which was first released on machine-readable media in 1986 and has been actively maintained ever since then. The symposium will feature invited talks on a broad spectrum of topics related to gene regulation as well as expert discussions on the future of biodata resources. A special session will be devoted to the presentation and kick-off of a promoter prediction challenge.

Confirmed speakers:

  • Sascha Duttke – Washington State University (USA)
From FAIR principles to data pipelines: FAIRification and FAIR enabling resources at scale with ELIXIR Europe, GO-FAIR Foundation, CODATA and webby FDOs

From FAIR principles to data pipelines: FAIRification and FAIR enabling resources at scale with ELIXIR Europe, GO-FAIR Foundation, CODATA and webby FDOs

Vassilios Ioannidis – Swiss Institute of Bioinformatics / Vital-IT (Switzerland)

Full day event

The FAIR (Findable, Accessible, Interoperable, Reusable) principles are widely endorsed, but many research projects still struggle to turn them into concrete, repeatable implementation steps that scale beyond a single dataset, tool, or team. This two-part workshop convenes experts and practitioners working on FAIR-enabling infrastructure to compare approaches and jointly draft a reference implementation aspiring to address the challenges of our time—be it in Biodiversity, AI & Health or beyond.

Confirmed speakers:

  • Nick Juty – European Molecular Biology Laboratory EMBL-EBI (United Kingdom) 
  • Barbara Magagna – GO FAIR foundation (Austria)
  • Vassilios Ioannidis – Swiss Institute of Bioinformatics / Vital-IT (Switzerland)
  • Wolmar Nyberg Åkerström – National Bioinformatics Infrastructure (Sweden)
  • Matti Heikkurinen – CODATA (Switzerland)
Single-cell and spatial data FAIRification, community standards and training

Single-cell and spatial data FAIRification, community standards and training

Frederic Bastian – Swiss Institute of Bioinformatics & University of Lausanne(Switzerland)

Full day event

In recent years, single-cell and spatial transcriptomics has become widely used technologies to study heterogeneous and dynamic biological systems.

This workshop aims to bring together the ELIXIR Single-Cell Omics Community and the scFAIR international consortium led by SIB resources, to align ongoing efforts, advance FAIR standards, and strengthen international collaboration around best practices and training in single-cell and spatial omics.

Confirmed speakers:

  • Eija Korpelainen – CSC – IT Center for Science (Finland)
  • George Gavriilidis – Charité – Universitätsmedizin Berlin / Berlin Institute of Health (Germany)
  • Vincent Gardeux – École Polytechnique Fédérale de Lausanne (Switzerland) 
  • Christina Ernst – European Molecular Biology Laboratory EMBL-EBI (United Kingdom)
  • Frédéric Bastian – Swiss Institute of Bioinformatics (Switzerland)
  • Garth Ilsley – European Molecular Biology Laboratory EMBL-EBI (United Kingdom)
  • Jason Hilton – Stanford University School of Medicine (United States)
  • Wen Chen – California Institute of Technology (United States)