Nat Biotechnol
Autor: | Michael Hucka, Julio Collado-Vides, Nicolas Le Novère, Pedro Mendes, Barry L. Wanner, Edda Klipp, Fabien Campagne, Matt D. B. Halstead, Edmund J. Crampin, Bruce E. Shapiro, Upinder S. Bhalla, Jacky L. Snoep, Poul M. F. Nielsen, Hugh D. Spence, Andrew Finney, Herbert M. Sauro |
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Rok vydání: | 2005 |
Předmět: |
Information retrieval
Databases Factual Information Dissemination BioModels Database CellML Biomedical Engineering Minimum information required in the annotation of models Information Storage and Retrieval Bioengineering Guidelines as Topic Documentation Biology Bioinformatics Applied Microbiology and Biotechnology Biochemistry Models Biological Cell Physiological Phenomena Set (abstract data type) Annotation Resource (project management) Terminology as Topic Molecular Medicine SBML Biotechnology |
Zdroj: | Nature Biotechnology |
ISSN: | 1087-0156 |
Popis: | Most of the published quantitative models in biology are lost for the community because they are either not made available or they are insufficiently characterized to allow them to be reused. The lack of a standard description format, lack of stringent reviewing and authors' carelessness are the main causes for incomplete model descriptions. With today's increased interest in detailed biochemical models, it is necessary to define a minimum quality standard for the encoding of those models. We propose a set of rules for curating quantitative models of biological systems. These rules define procedures for encoding and annotating models represented in machine-readable form. We believe their application will enable users to (i) have confidence that curated models are an accurate reflection of their associated reference descriptions, (ii) search collections of curated models with precision, (iii) quickly identify the biological phenomena that a given curated model or model constituent represents and (iv) facilitate model reuse and composition into large subcellular models. |
Databáze: | OpenAIRE |
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