Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/81231

TítuloSystems Biology in ELIXIR: modelling in the spotlight
Autor(es)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, KF
Hermjakob, H
Kahlem, P
Klapa, MI
Koehorst, J
Kolodkin, A
Kutmon, M
Leskoek, B
Moretti, S
Müller, W
Pagni, M
Rezen, T
Rocha, Miguel
Rozman, D
afránek, D
Sheriff, RSM
Suarez Diez, M
Van Steen, K
Westerhoff, HV
Wittig, U
Wolstencroft, K
Zupanic, A
Evelo, CT
Hancock, JM
Palavras-chaveSystems Biology
Systems Medicine
ELIXIR Communities
Biomolecular Models
Network Biology
FAIR
Biological data
Biotechnology
Data2022
EditoraF1000Research
RevistaF1000research
CitaçãoMartins dos Santos V, Anton M, Szomolay B et al. Systems Biology in ELIXIR: modelling in the spotlight [version 1; peer review: 1 approved with reservations]. F1000Research 2022, 11(ELIXIR):1265 (https://doi.org/10.12688/f1000research.126734.1)
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/81231
DOI10.12688/f1000research.126734.1
ISSN2046-1402
Versão da editorahttps://f1000research.com/
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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