17th release of BioModels Database
27 Apr '10 10:25
We are pleased to announce the seventeenth release of BioModels Database.
In this release, 20 new models have been published. The public version
of BioModels Database now contains 249 models in the curated and 224 in
the non-curated branch. Together, these 473 models comprise 37852
species and 44886 reactions. Some of the existing models have been
converted to SBML Level 2 Version 4, while others have been corrected
with annotational updates to enhance their reusability. The database now
features 18950 cross-references.
Along with the data release, there have been dramatic improvements to
both the software availability and the documentation. This should
greatly help users wishing to implement their own local version of the
BioModels Database infrastructure. For more information, please refer
to: http://www.ebi.ac.uk/biomodels-main/develop .
For more details about this release, please check:
BioModels Database is being developed by the Computational Neurobiology
group (EMBL-European Bioinformatics Institute, United-Kingdom) and the
SBML Team (California Institute of Technology, USA). The collaborators
are the Database Of Quantitative Cellular Signalling (National Center
for Biological Sciences, India), the Virtual Cell (University of
Connecticut Health Center, USA), JWS Online (Stellenbosch University,
ZA) and the CellML team (Auckland Bioengineering Institute, NZ).
BioModels Database development is funded by the European Molecular
Biology Laboratory (Computational Neurobiology group), the Biotechnology
and Biological Sciences Research Council (Computational Neurobiology
group), the National Institute of General Medical Sciences (SBML team
and Computational Neurobiology group), and the National Center for
Research Resources (Virtual Cell team).
BioModels Database also benefited from the help of Herbert Sauro
(Washington University, USA) and Hiroaki Kitano (Systems Biology
Institute, Japan), and from the funds of the DARPA (Sauro team).
A big thanks to all collaborators and submitters.
We also want to thank the SBML community for their support and the tools
they provide and develop.
The BioModels Database Team
European Bioinformatics Institute, Cambridge (UK)
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