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Systems Biology in ELIXIR: modelling in the spotlight [version 2; peer review: 1 approved, 2 approved with reservations]
- Source :
- F1000Research, Vol 11 (2024)
- Publication Year :
- 2024
- Publisher :
- F1000 Research Ltd, 2024.
-
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.
Details
- Language :
- English
- ISSN :
- 20461402
- Volume :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- F1000Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.231bbdc173f041d7b339528a06d2b5e4
- Document Type :
- article
- Full Text :
- https://doi.org/10.12688/f1000research.126734.2