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Tools for Modelling Biological Systems with CellML

Tools for Modelling Biological Systems with CellML

Abstract

The CellML language is an XML-based specification for representing mathematical models of biological processes. The University of Auckland's Bioengineering Institute is committed to creating tools and evolving the language so that biologists and modelers can build, understand, and share models. The CellML standard and tool developments are open source; we encourage researchers and software developers to become involved in the process. The model repository already has a large array of biological models; we expect this to grow rapidly as more researchers adopt the tools and modelling environments we offer which encourages the reuse and sharing of models.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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