CellML metadata standards, associated tools and repositories.
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.
Beard
Daniel A
DA
Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Britten
Randall
R
Cooling
Mike T
MT
Garny
Alan
A
Halstead
Matt D B
MD
Hunter
Peter J
PJ
Lawson
James
J
Lloyd
Catherine M
CM
Marsh
Justin
J
Miller
Andrew
A
Nickerson
David P
DP
Nielsen
Poul M F
PM
Nomura
Taishin
T
Subramanium
Shankar
S
Wimalaratne
Sarala M
SM
Yu
Tommy
T
D001703:Biophysics; D003198:Computer Simulation; D003628:Database Management Systems; D011381:Programming Languages