| Autor: |
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, William T. Scott, Elena Domínguez-Romero, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
F1000Research, Vol 11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2046-1402 |
| DOI: |
10.12688/f1000research.126734.2 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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