ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2009
CellML metadata standards, associated tools and repositories.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Adapting modeling and simulation credibility standards to computational systems biology.Journal of translational medicine · 2023Review
- Harmonizing semantic annotations for computational models in biology.Briefings in bioinformatics · 2019Review
- ModelBricks-modules for reproducible modeling improving model annotation and provenance.NPJ systems biology and applications · 2019Review
- Arterial Hypertension and Unusual Ascending Aortic Dilatation in a Neonate With Acute Kidney Injury: Mechanistic Computer Modeling.Frontiers in physiology · 2019Article
- Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.Methods in molecular biology (Clifton, N.J.) · 2019Article
- FindSim: A Framework for Integrating Neuronal Data and Signaling Models.Frontiers in neuroinformatics · 2018Article
- Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
- Multiscale musculoskeletal modelling, data-model fusion and electromyography-informed modelling.Interface focus · 2016Article
- Synergy-COPD: a systems approach for understanding and managing chronic diseases.Journal of translational medicine · 2014Article
- Cellular cardiac electrophysiology modeling with Chaste and CellML.Frontiers in physiology · 2014Article
- Using CellML with OpenCMISS to Simulate Multi-Scale Physiology.Frontiers in bioengineering and biotechnology · 2014Article
- FieldML, a proposed open standard for the Physiome project for mathematical model representation.Medical & biological engineering & computing · 2013Article
- Computational medicine: translating models to clinical care.Science translational medicine · 2012Article
- Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language.BMC systems biology · 2011Article
- Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2011Article
- Modelling of pH dynamics in brain cells after stroke.Interface focus · 2011Article
- A tool for multi-scale modelling of the renal nephron.Interface focus · 2011Article
- Module-based multiscale simulation of angiogenesis in skeletal muscle.Theoretical biology & medical modelling · 2011Article
- An overview of the CellML API and its implementation.BMC bioinformatics · 2010Article
- The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms.Briefings in bioinformatics · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.