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A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems

BACKGROUND: We propose that a computerized, internet-based graphical description language for systems biology will be essential for describing, archiving and analyzing complex problems of biological function in health and disease. RESULTS: We outline here a conceptual basis for designing such a lang...

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Detalles Bibliográficos
Autores principales: Cook, Daniel L, Farley, Joel F, Tapscott, Stephen J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2001
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC31481/
https://www.ncbi.nlm.nih.gov/pubmed/11305940
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author Cook, Daniel L
Farley, Joel F
Tapscott, Stephen J
author_facet Cook, Daniel L
Farley, Joel F
Tapscott, Stephen J
author_sort Cook, Daniel L
collection PubMed
description BACKGROUND: We propose that a computerized, internet-based graphical description language for systems biology will be essential for describing, archiving and analyzing complex problems of biological function in health and disease. RESULTS: We outline here a conceptual basis for designing such a language and describe BioD, a prototype language that we have used to explore the utility and feasibility of this approach to functional biology. Using example models, we demonstrate that a rather limited lexicon of icons and arrows suffices to describe complex cell-biological systems as discrete models that can be posted and linked on the internet. CONCLUSIONS: Given available computer and internet technology, BioD may be implemented as an extensible, multidisciplinary language that can be used to archive functional systems knowledge and be extended to support both qualitative and quantitative functional analysis.
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spelling pubmed-314812001-05-15 A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems Cook, Daniel L Farley, Joel F Tapscott, Stephen J Genome Biol Research BACKGROUND: We propose that a computerized, internet-based graphical description language for systems biology will be essential for describing, archiving and analyzing complex problems of biological function in health and disease. RESULTS: We outline here a conceptual basis for designing such a language and describe BioD, a prototype language that we have used to explore the utility and feasibility of this approach to functional biology. Using example models, we demonstrate that a rather limited lexicon of icons and arrows suffices to describe complex cell-biological systems as discrete models that can be posted and linked on the internet. CONCLUSIONS: Given available computer and internet technology, BioD may be implemented as an extensible, multidisciplinary language that can be used to archive functional systems knowledge and be extended to support both qualitative and quantitative functional analysis. BioMed Central 2001 2001-03-22 /pmc/articles/PMC31481/ /pubmed/11305940 Text en Copyright © 2001 Cook et al., licensee BioMed Central Ltd
spellingShingle Research
Cook, Daniel L
Farley, Joel F
Tapscott, Stephen J
A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title_full A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title_fullStr A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title_full_unstemmed A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title_short A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
title_sort basis for a visual language for describing, archiving and analyzing functional models of complex biological systems
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC31481/
https://www.ncbi.nlm.nih.gov/pubmed/11305940
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