Systems Biology in ELIXIR: modelling in the spotlight

  • Vitor Martins Dos Santos
  • , Mihail Anton
  • , Barbara Szomolay
  • , Marek Ostaszewski
  • , Ilja Arts
  • , Rui Benfeitas
  • , Victoria Dominguez Del Angel
  • , Polonca Ferk
  • , Dirk Fey
  • , Carole Goble
  • , Martin Golebiewski
  • , Kristina Gruden
  • , Katharina F Heil
  • , Henning Hermjakob
  • , Pascal Kahlem
  • , Maria I Klapa
  • , Jasper Koehorst
  • , Alexey Kolodkin
  • , Martina Kutmon
  • , Brane Leskošek
  • Sébastien Moretti, Wolfgang Müller, Marco Pagni, Tadeja Rezen, Miguel Rocha, Damjana Rozman, David Šafránek, Rahuman S Malik Sheriff, Maria Suarez Diez, Kristel Van Steen, Hans V Westerhoff, Ulrike Wittig, Katherine Wolstencroft, Anze Zupanic, Chris T Evelo, John M Hancock*
*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community believes that the infrastructure aspects of systems biology - databases, (modelling) tools and standards development, as well as training and access to cloud infrastructure - are not only appropriate components of the ELIXIR infrastructure, but will prove key components of ELIXIR's future support of advanced biological applications and personalised medicine. By way of a series of meetings, the Community identified seven key areas for its future activities, reflecting both future needs and previous and current activities within ELIXIR Platforms and Communities. These are: overcoming barriers to the wider uptake of systems biology; linking new and existing data to systems biology models; interoperability of systems biology resources; further development and embedding of systems medicine; provisioning of modelling as a service; building and coordinating capacity building and training resources; and supporting industrial embedding of systems biology. A set of objectives for the Community has been identified under four main headline areas: Standardisation and Interoperability, Technology, Capacity Building and Training, and Industrial Embedding. These are grouped into short-term (3-year), mid-term (6-year) and long-term (10-year) objectives.

Original languageEnglish
JournalF1000Research
Volume11
DOIs
Publication statusPublished - 7 Nov 2022

Keywords

  • Systems Biology
  • Europe
  • Databases, Factual

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