Literature DB >> 19703920

A method for visualizing CellML models.

S M Wimalaratne1, M D B Halstead, C M Lloyd, M T Cooling, E J Crampin, P F Nielsen.   

Abstract

MOTIVATION: The Physiome Project was established in 1997 to develop tools to facilitate international collaboration in the physiological sciences and the sharing of biological models and experimental data. The CellML language was developed to represent and exchange mathematical models of biological processes. CellML models can be very complicated, making it difficult to interpret the underlying physical and biological concepts and relationships captured/described in the mathematical model.
RESULTS: To address this issue a set of ontologies was developed to explicitly annotate the biophysical concepts represented in the CellML models. This article presents a framework that combines a visual language, together with CellML ontologies, to support the visualization of the underlying physical and biological concepts described by the mathematical model and also their relationships with the CellML model. Automated CellML model visualization assists in the interpretation of model concepts and facilitates model communication and exchange between different communities.

Entities:  

Mesh:

Year:  2009        PMID: 19703920     DOI: 10.1093/bioinformatics/btp495

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Toward integration of biological and physiological functions at multiple levels.

Authors:  Taishin Nomura
Journal:  Front Physiol       Date:  2010-12-29       Impact factor: 4.566

Review 2.  Improving collaboration by standardization efforts in systems biology.

Authors:  Andreas Dräger; Bernhard Ø Palsson
Journal:  Front Bioeng Biotechnol       Date:  2014-12-08

3.  Mechanistic modeling confronts the complexity of molecular cell biology.

Authors:  Robert D Phair
Journal:  Mol Biol Cell       Date:  2014-11-05       Impact factor: 4.138

Review 4.  Harmonizing semantic annotations for computational models in biology.

Authors:  Maxwell Lewis Neal; Matthias König; David Nickerson; Göksel Mısırlı; Reza Kalbasi; Andreas Dräger; Koray Atalag; Vijayalakshmi Chelliah; Michael T Cooling; Daniel L Cook; Sharon Crook; Miguel de Alba; Samuel H Friedman; Alan Garny; John H Gennari; Padraig Gleeson; Martin Golebiewski; Michael Hucka; Nick Juty; Chris Myers; Brett G Olivier; Herbert M Sauro; Martin Scharm; Jacky L Snoep; Vasundra Touré; Anil Wipat; Olaf Wolkenhauer; Dagmar Waltemath
Journal:  Brief Bioinform       Date:  2019-03-22       Impact factor: 11.622

5.  A new flexible plug and play scheme for modeling, simulating, and predicting gastric emptying.

Authors:  Shaji Krishnan; Mark van Avesaat; Freddy J Troost; Henk Fj Hendriks; Albert A de Graaf
Journal:  Theor Biol Med Model       Date:  2014-06-10       Impact factor: 2.432

  5 in total

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