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Toward Supportive Data Collection Tools for Plant Metabolomics[w]

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Toward Supportive Data Collection Tools for Plant Metabolomics[w]
Id. 5082359
Idioma inglés
Titulo Toward Supportive Data Collection Tools for Plant Metabolomics[w]
Autor(es) Jenkins, Helen
Johnson, Helen
Kular, Baldeep
Wang, Trevor
Hardy, Nigel
Localización http://www.pubmedcentral.gov/articlerender.fcgi?artid=1104162
Versión 1.0
Estado Final
Descripción Over recent years, a number of initiatives have proposed standard reporting guidelines for functional genomics experiments. Associated with these are data models that may be used as the basis of the design of software tools that store and transmit experiment data in standard formats. Central to the success of such data handling tools is their usability. Successful data handling tools are expected to yield benefits in time saving and in quality assurance. Here, we describe the collection of datasets that conform to the recently proposed data model for plant metabolomics known as ArMet (architecture for metabolomics) and illustrate a number of approaches to robust data collection that have been developed in collaboration between software engineers and biologists. These examples also serve to validate ArMet from the data collection perspective by demonstrating that a range of software tools, supporting data recording and data upload to central databases, can be built using the data model as the basis of their design.
Palabras clave Focus Issue on Plant Databases
Tipo de recurso Text
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
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Estructura Atomic
Coste no
Copyright
Copyright © 2005, American Society of Plant Biologists
Requerimientos técnicos Browser: Any
Fecha de contribución 24-nov-2006
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