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Systems biology in ELIXIR : modelling in the spotlight
ID
Santos, Vitor Martins dos
(
Avtor
),
ID
Ferk, Polonca
(
Avtor
),
ID
Leskošek, Branimir
(
Avtor
),
ID
Režen, Tadeja
(
Avtor
),
ID
Rozman, Damjana
(
Avtor
),
ID
Hancock, John M.
(
Avtor
), et al.
PDF - Predstavitvena datoteka,
prenos
(2,27 MB)
MD5: F2A8652EC2BF7FE473F0247C15D19FDB
URL - Izvorni URL, za dostop obiščite
https://f1000research.com/articles/11-1265/v2
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
ELIXIR
,
systems biology
,
systems medicine
,
ELIXIR communities
,
biomolecular models
,
network biology
,
FAIR
,
biological data
,
biotechnology
Vrsta gradiva:
Članek v reviji
Tipologija:
1.02 - Pregledni znanstveni članek
Organizacija:
MF - Medicinska fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2024
Št. strani:
29 str.
Številčenje:
Vol. 11, art. 1265
PID:
20.500.12556/RUL-166213
UDK:
61
ISSN pri članku:
2046-1402
DOI:
10.12688/f1000research.126734.2
COBISS.SI-ID:
128400899
Datum objave v RUL:
24.12.2024
Število ogledov:
567
Število prenosov:
209
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
F1000Research
Skrajšan naslov:
F1000Research
Založnik:
F1000Research
ISSN:
2046-1402
COBISS.SI-ID:
31416537
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
ELIXIR
,
sistemska biologija
,
sistemska medicina
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
NSRF, EPAnEk
Številka projekta:
MIS 5002780
Akronim:
ELIXIR-GR
Financer:
ELIXIR
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