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GMDD: a database of GMO detection methods

BACKGROUND: Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques...

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Autores principales: Dong, Wei, Yang, Litao, Shen, Kailin, Kim, Banghyun, Kleter, Gijs A, Marvin, Hans JP, Guo, Rong, Liang, Wanqi, Zhang, Dabing
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2430717/
https://www.ncbi.nlm.nih.gov/pubmed/18522755
http://dx.doi.org/10.1186/1471-2105-9-260
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author Dong, Wei
Yang, Litao
Shen, Kailin
Kim, Banghyun
Kleter, Gijs A
Marvin, Hans JP
Guo, Rong
Liang, Wanqi
Zhang, Dabing
author_facet Dong, Wei
Yang, Litao
Shen, Kailin
Kim, Banghyun
Kleter, Gijs A
Marvin, Hans JP
Guo, Rong
Liang, Wanqi
Zhang, Dabing
author_sort Dong, Wei
collection PubMed
description BACKGROUND: Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques have been developed and utilized for GMOs identification and quantification. However, the information for harmonization and standardization of GMO analysis methods at global level is needed. RESULTS: GMO Detection method Database (GMDD) has collected almost all the previous developed and reported GMOs detection methods, which have been grouped by different strategies (screen-, gene-, construct-, and event-specific), and also provide a user-friendly search service of the detection methods by GMO event name, exogenous gene, or protein information, etc. In this database, users can obtain the sequences of exogenous integration, which will facilitate PCR primers and probes design. Also the information on endogenous genes, certified reference materials, reference molecules, and the validation status of developed methods is included in this database. Furthermore, registered users can also submit new detection methods and sequences to this database, and the newly submitted information will be released soon after being checked. CONCLUSION: GMDD contains comprehensive information of GMO detection methods. The database will make the GMOs analysis much easier.
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spelling pubmed-24307172008-06-19 GMDD: a database of GMO detection methods Dong, Wei Yang, Litao Shen, Kailin Kim, Banghyun Kleter, Gijs A Marvin, Hans JP Guo, Rong Liang, Wanqi Zhang, Dabing BMC Bioinformatics Database BACKGROUND: Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques have been developed and utilized for GMOs identification and quantification. However, the information for harmonization and standardization of GMO analysis methods at global level is needed. RESULTS: GMO Detection method Database (GMDD) has collected almost all the previous developed and reported GMOs detection methods, which have been grouped by different strategies (screen-, gene-, construct-, and event-specific), and also provide a user-friendly search service of the detection methods by GMO event name, exogenous gene, or protein information, etc. In this database, users can obtain the sequences of exogenous integration, which will facilitate PCR primers and probes design. Also the information on endogenous genes, certified reference materials, reference molecules, and the validation status of developed methods is included in this database. Furthermore, registered users can also submit new detection methods and sequences to this database, and the newly submitted information will be released soon after being checked. CONCLUSION: GMDD contains comprehensive information of GMO detection methods. The database will make the GMOs analysis much easier. BioMed Central 2008-06-04 /pmc/articles/PMC2430717/ /pubmed/18522755 http://dx.doi.org/10.1186/1471-2105-9-260 Text en Copyright © 2008 Dong 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
Dong, Wei
Yang, Litao
Shen, Kailin
Kim, Banghyun
Kleter, Gijs A
Marvin, Hans JP
Guo, Rong
Liang, Wanqi
Zhang, Dabing
GMDD: a database of GMO detection methods
title GMDD: a database of GMO detection methods
title_full GMDD: a database of GMO detection methods
title_fullStr GMDD: a database of GMO detection methods
title_full_unstemmed GMDD: a database of GMO detection methods
title_short GMDD: a database of GMO detection methods
title_sort gmdd: a database of gmo detection methods
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2430717/
https://www.ncbi.nlm.nih.gov/pubmed/18522755
http://dx.doi.org/10.1186/1471-2105-9-260
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