Systems Biology in ELIXIR: modelling in the spotlight

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.

Citation: F1000Res 11:1265

Date Published: 2022

Registered Mode: by DOI

Authors: 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

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Citation
Martins dos Santos, V., Anton, M., Szomolay, B., Ostaszewski, M., Arts, I., Benfeitas, R., Dominguez Del Angel, V., Ferk, P., Fey, D., Goble, C., Golebiewski, M., Gruden, K., Heil, K. F., Hermjakob, H., Kahlem, P., Klapa, M. I., Koehorst, J., Kolodkin, A., Kutmon, M., … Hancock, J. M. (2022). Systems Biology in ELIXIR: modelling in the spotlight. In F1000Research (Vol. 11, p. 1265). F1000 Research Ltd. https://doi.org/10.12688/f1000research.126734.1
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Created: 23rd Jan 2023 at 11:12

Last updated: 23rd Jan 2023 at 11:13

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