Systems Biology in ELIXIR: modelling in the spotlight.

Details

Serval ID
serval:BIB_B81ECA82C7F7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Systems Biology in ELIXIR: modelling in the spotlight.
Journal
F1000Research
Author(s)
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., Leskošek B., Moretti S., Müller W., Pagni M., Rezen T., Rocha M., Rozman D., Šafránek D., Sheriff RSM, Suarez Diez M., Van Steen K., Westerhoff H.V., Wittig U., Wolstencroft K., Zupanic A., Evelo C.T., Hancock J.M.
ISSN
2046-1402 (Electronic)
ISSN-L
2046-1402
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Volume
11
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
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.
Keywords
Systems Biology, Europe, Databases, Factual, Biological data, Biomolecular Models, Biotechnology, ELIXIR Communities, FAIR, Network Biology, Systems Medicine
Pubmed
Open Access
Yes
Create date
07/03/2023 12:45
Last modification date
21/11/2023 8:11
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