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PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context

BACKGROUND: Renewed interest in plant × environment interactions has risen in the post-genomic era. In this context, high-throughput phenotyping platforms have been developed to create reproducible environmental scenarios in which the phenotypic responses of multiple genotypes can be analysed in a r...

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Autores principales: Fabre, Juliette, Dauzat, Myriam, Nègre, Vincent, Wuyts, Nathalie, Tireau, Anne, Gennari, Emilie, Neveu, Pascal, Tisné, Sébastien, Massonnet, Catherine, Hummel, Irène, Granier, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112076/
https://www.ncbi.nlm.nih.gov/pubmed/21554668
http://dx.doi.org/10.1186/1471-2229-11-77
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author Fabre, Juliette
Dauzat, Myriam
Nègre, Vincent
Wuyts, Nathalie
Tireau, Anne
Gennari, Emilie
Neveu, Pascal
Tisné, Sébastien
Massonnet, Catherine
Hummel, Irène
Granier, Christine
author_facet Fabre, Juliette
Dauzat, Myriam
Nègre, Vincent
Wuyts, Nathalie
Tireau, Anne
Gennari, Emilie
Neveu, Pascal
Tisné, Sébastien
Massonnet, Catherine
Hummel, Irène
Granier, Christine
author_sort Fabre, Juliette
collection PubMed
description BACKGROUND: Renewed interest in plant × environment interactions has risen in the post-genomic era. In this context, high-throughput phenotyping platforms have been developed to create reproducible environmental scenarios in which the phenotypic responses of multiple genotypes can be analysed in a reproducible way. These platforms benefit hugely from the development of suitable databases for storage, sharing and analysis of the large amount of data collected. In the model plant Arabidopsis thaliana, most databases available to the scientific community contain data related to genetic and molecular biology and are characterised by an inadequacy in the description of plant developmental stages and experimental metadata such as environmental conditions. Our goal was to develop a comprehensive information system for sharing of the data collected in PHENOPSIS, an automated platform for Arabidopsis thaliana phenotyping, with the scientific community. DESCRIPTION: PHENOPSIS DB is a publicly available (URL: http://bioweb.supagro.inra.fr/phenopsis/) information system developed for storage, browsing and sharing of online data generated by the PHENOPSIS platform and offline data collected by experimenters and experimental metadata. It provides modules coupled to a Web interface for (i) the visualisation of environmental data of an experiment, (ii) the visualisation and statistical analysis of phenotypic data, and (iii) the analysis of Arabidopsis thaliana plant images. CONCLUSIONS: Firstly, data stored in the PHENOPSIS DB are of interest to the Arabidopsis thaliana community, particularly in allowing phenotypic meta-analyses directly linked to environmental conditions on which publications are still scarce. Secondly, data or image analysis modules can be downloaded from the Web interface for direct usage or as the basis for modifications according to new requirements. Finally, the structure of PHENOPSIS DB provides a useful template for the development of other similar databases related to genotype × environment interactions.
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spelling pubmed-31120762011-06-11 PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context Fabre, Juliette Dauzat, Myriam Nègre, Vincent Wuyts, Nathalie Tireau, Anne Gennari, Emilie Neveu, Pascal Tisné, Sébastien Massonnet, Catherine Hummel, Irène Granier, Christine BMC Plant Biol Database BACKGROUND: Renewed interest in plant × environment interactions has risen in the post-genomic era. In this context, high-throughput phenotyping platforms have been developed to create reproducible environmental scenarios in which the phenotypic responses of multiple genotypes can be analysed in a reproducible way. These platforms benefit hugely from the development of suitable databases for storage, sharing and analysis of the large amount of data collected. In the model plant Arabidopsis thaliana, most databases available to the scientific community contain data related to genetic and molecular biology and are characterised by an inadequacy in the description of plant developmental stages and experimental metadata such as environmental conditions. Our goal was to develop a comprehensive information system for sharing of the data collected in PHENOPSIS, an automated platform for Arabidopsis thaliana phenotyping, with the scientific community. DESCRIPTION: PHENOPSIS DB is a publicly available (URL: http://bioweb.supagro.inra.fr/phenopsis/) information system developed for storage, browsing and sharing of online data generated by the PHENOPSIS platform and offline data collected by experimenters and experimental metadata. It provides modules coupled to a Web interface for (i) the visualisation of environmental data of an experiment, (ii) the visualisation and statistical analysis of phenotypic data, and (iii) the analysis of Arabidopsis thaliana plant images. CONCLUSIONS: Firstly, data stored in the PHENOPSIS DB are of interest to the Arabidopsis thaliana community, particularly in allowing phenotypic meta-analyses directly linked to environmental conditions on which publications are still scarce. Secondly, data or image analysis modules can be downloaded from the Web interface for direct usage or as the basis for modifications according to new requirements. Finally, the structure of PHENOPSIS DB provides a useful template for the development of other similar databases related to genotype × environment interactions. BioMed Central 2011-05-09 /pmc/articles/PMC3112076/ /pubmed/21554668 http://dx.doi.org/10.1186/1471-2229-11-77 Text en Copyright ©2011 Fabre et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Fabre, Juliette
Dauzat, Myriam
Nègre, Vincent
Wuyts, Nathalie
Tireau, Anne
Gennari, Emilie
Neveu, Pascal
Tisné, Sébastien
Massonnet, Catherine
Hummel, Irène
Granier, Christine
PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title_full PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title_fullStr PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title_full_unstemmed PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title_short PHENOPSIS DB: an Information System for Arabidopsis thaliana phenotypic data in an environmental context
title_sort phenopsis db: an information system for arabidopsis thaliana phenotypic data in an environmental context
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112076/
https://www.ncbi.nlm.nih.gov/pubmed/21554668
http://dx.doi.org/10.1186/1471-2229-11-77
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