Systems Biology in ELIXIR: modelling in the spotlight

Martins dos Santos, Vitor, Anton, Mihail, Szomolay, Barbara ORCID: https://orcid.org/0000-0002-5375-5533, Ostaszewski, Marek, Arts, Ilja, Benfeitas, Rui, Dominguez Del Angel, Victoria, Ferk, Polonca, Fey, Dirk, Goble, Carole, Golebiewski, Martin, Gruden, Kristina, Heil, Katharina F., Hermjakob, Henning, Kahlem, Pascal, Klapa, Maria I., Koehorst, Jasper, Kolodkin, Alexey, Kutmon, Martina, Lesko?ek, Brane, Moretti, Sébastien, Müller, Wolfgang, Pagni, Marco, Rezen, Tadeja, Rocha, Miguel, Rozman, Damjana, ?afránek, David, Sheriff, Rahuman S. Malik, Suarez Diez, Maria, Van Steen, Kristel, Westerhoff, Hans V, Wittig, Ulrike, Wolstencroft, Katherine, Zupanic, Anze, Evelo, Chris T. and Hancock, John M. 2022. Systems Biology in ELIXIR: modelling in the spotlight. F1000Research 11 , 1265. 10.12688/f1000research.126734.1

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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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Medicine
Publisher:	Taylor and Francis
ISSN:	2046-1402
Date of First Compliant Deposit:	22 March 2023
Date of Acceptance:	7 November 2022
Last Modified:	25 May 2023 16:45
URI:	https://orca.cardiff.ac.uk/id/eprint/157893

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