Welcome to the ERASysBio initiative, a consortium of funding bodies, ministries and project management agencies.
Our mission is to carry out fundamental and strategic collaboration in the funding of systems approaches to biological research.
ERASysBio+ Mid-term Conference
Sixteen transnational reseach consortia comprising 85 working
groups from 14 countries are funded under ERASysBio+ initiative. For a summary of the initiative and details on all the projects, please follow the
link. The reseracher involved will come together for their first evaluation conference 13-15 September 2011 in Vienna. For more information please follow the link.
Tutorial on Standard Operating Procedures
for Systems Biology
SOPs are an integral part of the ERASysBio summer school programme. This
Tutorial was produced with the aim to offer the community an overview on the
benefits of using SOPs in Systems Biology. For more videos
please follow the link.
ERASysBio Meeting on Data Management, 16 February
2011
The ERASysBio partners are committed to encourage the adoption of data standards, data management and sharing best practices in systems biology across the
European Research Area. SysMO DB is the central platform for storage and sharing
of data assets within the SysMO funding initiative. For details please follow the
link.
4th Meeting of the European Systems
Biology Centres, January 2011
Networking the Systems Biology Centres in the ERA: Representatives from 30 European
came together for a series of
meetings to consider how centres can work together in areas of common interest
and to seek consensus on how to address common challenges. To find out more
please follow the
link.
Raising standards in training and education
ERASysBio has established a series of summer schools designed to encourage the
adoption of data standards, data management and sharing best practices across
the European Research Area. Please follow the link to the
summer school pages.
ERASysBio is providing a forum for discussion of postgraduate training in
systems biology. A
workshop was organised as a first step into exploring the key components of
a European PhD in systems biology.
Strategy Paper: Systems biology is an emerging field with different possible approaches in different contexts. Intrinsic to systems biology is, however, its interdisciplinary nature and the common aim of achieving the quantitative understanding of dynamic biological processes through the use of mathematical and statistical analyses to integrate biological data in order to develop predictive models of biological behaviour…..
Link to the paper
ERASysBio is a transnational funding initiative to support the convergence of life sciences with information technology & systems science.
ERASysBio brings together 16 ministries and funding agencies from 13 countries to coordinate their national research programmes in systems
biology and agree on a common European research agenda.
The partners at the EB6 meeting October 2007...
As an ERA-NET, ERASysBio is committed to supporting the establishment
of the European Research Area (ERA) in the field of systems biology by stimulating and facilitating programme coordination and joint
activities in the field; not only in EU Member States but also in associated countries.
More information on the ERA-NET
scheme…
SysMO is the pilot call under the umbrella of ERASysBio.
SysMO provides funding for research on “Systems Biology in Micro-organisms”. It is financed by DE, AT, NL, NO,
UK and ES. Eleven transnational research projects involving 91 groups are funded under this initiative with financial national
contributions from all partners and an overall investment of €28M.
www.sysmo.net
The discipline of systems biology
aims at understanding the dynamic interaction between components of a living system or between living systems.
Systems biology is an approach by which biological questions are addressed through integrating experiments with computational
modelling, simulation and theory, in iterative cycles. Modelling is not the final goal, but is a tool to increase understanding
of the system, to develop more directed experiments and finally allow predictions.
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