Systems Biology in ELIXIR: modelling in the spotlight.

Détails

ID Serval
serval:BIB_B81ECA82C7F7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Systems Biology in ELIXIR: modelling in the spotlight.
Périodique
F1000Research
Auteur⸱e⸱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
Statut éditorial
Publié
Date de publication
2022
Peer-reviewed
Oui
Volume
11
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Résumé
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.
Mots-clé
Systems Biology, Europe, Databases, Factual, Biological data, Biomolecular Models, Biotechnology, ELIXIR Communities, FAIR, Network Biology, Systems Medicine
Pubmed
Open Access
Oui
Création de la notice
07/03/2023 12:45
Dernière modification de la notice
17/07/2024 7:09
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