Literature DB >> 18579471

CellML and associated tools and techniques.

Alan Garny1, David P Nickerson, Jonathan Cooper, Rodrigo Weber dos Santos, Andrew K Miller, Steve McKeever, Poul M F Nielsen, Peter J Hunter.   

Abstract

We have, in the last few years, witnessed the development and availability of an ever increasing number of computer models that describe complex biological structures and processes. The multi-scale and multi-physics nature of these models makes their development particularly challenging, not only from a biological or biophysical viewpoint but also from a mathematical and computational perspective. In addition, the issue of sharing and reusing such models has proved to be particularly problematic, with the published models often lacking information that is required to accurately reproduce the published results. The International Union of Physiological Sciences Physiome Project was launched in 1997 with the aim of tackling the aforementioned issues by providing a framework for the modelling of the human body. As part of this initiative, the specifications of the CellML mark-up language were released in 2001. Now, more than 7 years later, the time has come to assess the situation, in particular with regard to the tools and techniques that are now available to the modelling community. Thus, after introducing CellML, we review and discuss existing editors, validators, online repository, code generators and simulation environments, as well as the CellML Application Program Interface. We also address possible future directions including the need for additional mark-up languages.

Entities:  

Mesh:

Year:  2008        PMID: 18579471     DOI: 10.1098/rsta.2008.0094

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  40 in total

Review 1.  Human cardiac systems electrophysiology and arrhythmogenesis: iteration of experiment and computation.

Authors:  Katherine M Holzem; Eli J Madden; Igor R Efimov
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

Review 2.  At the heart of computational modelling.

Authors:  S A Niederer; N P Smith
Journal:  J Physiol       Date:  2012-01-23       Impact factor: 5.182

3.  How the Hodgkin-Huxley equations inspired the Cardiac Physiome Project.

Authors:  Denis Noble; Alan Garny; Penelope J Noble
Journal:  J Physiol       Date:  2012-04-02       Impact factor: 5.182

4.  Code generation: a strategy for neural network simulators.

Authors:  Dan F M Goodman
Journal:  Neuroinformatics       Date:  2010-10

Review 5.  Systems glycobiology: biochemical reaction networks regulating glycan structure and function.

Authors:  Sriram Neelamegham; Gang Liu
Journal:  Glycobiology       Date:  2011-03-24       Impact factor: 4.313

Review 6.  Multiscale modeling for biologists.

Authors:  Martin Meier-Schellersheim; Iain D C Fraser; Frederick Klauschen
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Jul-Aug

7.  Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.

Authors:  Natalie J Stanford; Martin Scharm; Paul D Dobson; Martin Golebiewski; Michael Hucka; Varun B Kothamachu; David Nickerson; Stuart Owen; Jürgen Pahle; Ulrike Wittig; Dagmar Waltemath; Carole Goble; Pedro Mendes; Jacky Snoep
Journal:  Methods Mol Biol       Date:  2019

8.  An overview of the CellML API and its implementation.

Authors:  Andrew K Miller; Justin Marsh; Adam Reeve; Alan Garny; Randall Britten; Matt Halstead; Jonathan Cooper; David P Nickerson; Poul F Nielsen
Journal:  BMC Bioinformatics       Date:  2010-04-08       Impact factor: 3.169

9.  Systems medicine: the future of medical genomics and healthcare.

Authors:  Charles Auffray; Zhu Chen; Leroy Hood
Journal:  Genome Med       Date:  2009-01-20       Impact factor: 11.117

10.  Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases.

Authors:  Douglas B Kell
Journal:  BMC Med Genomics       Date:  2009-01-08       Impact factor: 3.063

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.