CellML metadata standards, associated tools and repositories

Author:

Beard Daniel A.1,Britten Randall2,Cooling Mike T.2,Garny Alan3,Halstead Matt D.B.2,Hunter Peter J.23,Lawson James2,Lloyd Catherine M.2,Marsh Justin2,Miller Andrew2,Nickerson David P.4,Nielsen Poul M.F.2,Nomura Taishin5,Subramanium Shankar6,Wimalaratne Sarala M.2,Yu Tommy2

Affiliation:

1. Department of Physiology, Medical College of WisconsinMilwaukee, WI 53226, USA

2. Auckland Bioengineering Institute, University of AucklandAuckland 1142, New Zealand

3. Department of Physiology, Anatomy and Genetics, University of OxfordOxford OX1 2JD, UK

4. Division of Bioengineering, National University of SingaporeSingapore 117574, Republic of Singapore

5. Department of Mechanical Science and Bioengineering, Osaka UniversitySuita, Osaka 565-0871, Japan

6. Department of Bioengineering, University of California, San DiegoLa Jolla, CA 92093, USA

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.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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