Tales From the Code Front: Translating Modularity | Zendy

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Tales From the Code Front: Translating Modularity

Author(s) -

Lucian P. Smith

Publication year - 2010

Publication title -

nature precedings

Language(s) - English

Resource type - Journals

ISSN - 1756-0357

DOI - 10.1038/npre.2010.5132.1

Subject(s) - antimony , modularity (biology) , modular design , computer science , programming language , encoding (memory) , translation (biology) , code (set theory) , object (grammar) , theoretical computer science , artificial intelligence , biology , chemistry , evolutionary biology , genetics , inorganic chemistry , set (abstract data type) , messenger rna , gene

In translating modular Antimony models to and from CellML, two differences appeared: CellML's 'black box' approach vs. Antimony's 'model composition' approach, and CellML's math-based encoding vs. Antimony's object and rule-based encoding. The latter turned out to have a much larger impact on the translation than anticipated

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