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Sökning: WFRF:(Van Steen Kristel) > (2020-2022) > Systems Biology in ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006372naa a2200889 4500
001oai:research.chalmers.se:dc8c4112-520f-45b7-89aa-a328e47c3a6e
003SwePub
008230211s2022 | |||||||||||000 ||eng|
0247 a https://doi.org/10.12688/f1000research.126734.22 DOI
0247 a https://doi.org/10.12688/f1000research.126734.12 DOI
0247 a https://research.chalmers.se/publication/5345742 URI
040 a (SwePub)cth
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Martins Dos Santos, Vitoru Wageningen University and Research4 aut
2451 0a Systems Biology in ELIXIR: modelling in the spotlight
264 c 2022-11-07
264 1b F1000 Research Ltd,c 2022
338 a electronic2 rdacarrier
520 a 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.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Annan data- och informationsvetenskap0 (SwePub)102992 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Other Computer and Information Science0 (SwePub)102992 hsv//eng
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Inbäddad systemteknik0 (SwePub)202072 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Embedded Systems0 (SwePub)202072 hsv//eng
650 7a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng
653 a Network Biology
653 a FAIR
653 a ELIXIR Communities
653 a Biotechnology
653 a Systems Medicine
653 a Biomolecular Models
653 a Biological data
653 a Systems Biology
7001 a Anton, Petre Mihail,d 1989u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)petre
7001 a Szomolay, Barbarau Cardiff University4 aut
7001 a Ostaszewski, Mareku Université du Luxembourg,University of Luxembourg4 aut
7001 a Arts, Iljau Universiteit Maastricht,Maastricht University4 aut
7001 a Benfeitas, Ruiu Science for Life Laboratory (SciLifeLab)4 aut
7001 a Dominguez Del Angel, Victoria4 aut
7001 a Ferk, Poloncau Univerza V Ljubljani,University of Ljubljana4 aut
7001 a Fey, Dirku University College Dublin, National University Of Ireland4 aut
7001 a Goble, Caroleu University of Manchester4 aut
7001 a Golebiewski, Martin4 aut
7001 a Gruden, Kristina4 aut
7001 a Heil, Katharina F.4 aut
7001 a Hermjakob, Henningu European Bioinformatics Institute4 aut
7001 a Kahlem, Pascal4 aut
7001 a Klapa, Maria I.4 aut
7001 a Koehorst, Jasper J.u Wageningen University and Research4 aut
7001 a Kolodkin, Alexeyu Luxembourg Institute of Health,Vrije Universiteit Amsterdam (VU)4 aut
7001 a Kutmon, Martinau Universiteit Maastricht,Maastricht University4 aut
7001 a Leskošek, Braneu Univerza V Ljubljani,University of Ljubljana4 aut
7001 a Moretti, Sébastienu Swiss Institute of Bioinformatics4 aut
7001 a Müller, Wolfgang4 aut
7001 a Pagni, Marcou Swiss Institute of Bioinformatics4 aut
7001 a Rezen, Tadejau Univerza V Ljubljani,University of Ljubljana4 aut
7001 a Rocha, Miguelu Universidade do Minho,University of Minho4 aut
7001 a Rozman, Damjanau Univerza V Ljubljani,University of Ljubljana4 aut
7001 a Šafránek, Davidu Masarykova Univerzita,Masaryk University4 aut
7001 a Sheriff, Rahuman S.Maliku European Bioinformatics Institute4 aut
7001 a Suarez Diez, Mariau Wageningen University and Research4 aut
7001 a Van Steen, Kristelu Katholieke Universiteit Leuven,Universite de Liège,University of Liège4 aut
7001 a Westerhoff, Hans V.u Vrije Universiteit Amsterdam (VU)4 aut
7001 a Wittig, Ulrike4 aut
7001 a Wolstencroft, Katherineu Universiteit Leiden (UL),Leiden University (UL)4 aut
7001 a Zupanic, Anze4 aut
7001 a Evelo, Chris T.u Universiteit Maastricht,Maastricht University4 aut
7001 a Hancock, John M.u Univerza V Ljubljani,University of Ljubljana4 aut
7102 a Wageningen University and Researchb Chalmers tekniska högskola4 org
7730 t F1000Researchd : F1000 Research Ltdg 11q 11x 1759-796Xx 2046-1402
8564 u https://research.chalmers.se/publication/534574/file/534574_Fulltext.pdfx primaryx freey FULLTEXT
8564 8u https://doi.org/10.12688/f1000research.126734.2
8564 8u https://doi.org/10.12688/f1000research.126734.1
8564 8u https://research.chalmers.se/publication/534574

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