CellML metadata standards, associated tools and repositories

Daniel Beard(Medical College of Wisconsin), Randall D. Britten(University of Auckland), Mike T. Cooling(University of Auckland), Alan Garny(University of Oxford), Matt Halstead(University of Auckland), Peter Hunter(University of Auckland), James R. Lawson(University of Auckland), Catherine M. Lloyd(University of Auckland), Justin Marsh(University of Auckland), Andrew Miller(University of Auckland), David Nickerson(National University of Singapore), Poul M. F. Nielsen(University of Auckland), Taishin Nomura(The University of Osaka), Shankar Subramanium(University of California San Diego), Sarala Wimalaratne(University of Auckland), Tommy Yu(University of Auckland)
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
April 20, 2009
Cited by 74Open Access
Full Text

Abstract

The development of standards for encoding mathematical models is an important component of model building and model sharing among scientists interested in understanding multi-scale physiological processes. CellML provides such a standard, particularly for models based on biophysical mechanisms, and a substantial number of models are now available in the CellML Model Repository. However, there is an urgent need to extend the current CellML metadata standard to provide biological and biophysical annotation of the models in order to facilitate model sharing, automated model reduction and connection to biological databases. This paper gives a broad overview of a number of new developments on CellML metadata and provides links to further methodological details available from the CellML website.


Related Papers

No related papers found

Powered by citation graph analysis