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The GMOseek matrix : a decision support tool for optimizing the detection of genetically modified plants. / Block, Anette; Debode, Frédéric; Grohmann, Lutz; Hulin, Julie; Taverniers, Isabel; Kluga, Linda; Barbau-Piednoir, Elodie; Broeders, Sylvia; Huber, Ingrid; Van den Bulcke, Marc; Heinze, Petra; Berben, Gilbert; Busch, Ulrich; Roosens, Nancy; Janssen, Eric; Zel, Jana; Gruden, Kristina; Morisset, Dany.

In: BMC Bioinformatics, Vol. 14, No. 1, 2013, p. 256.

Research output: Contribution to journalA1: Web of Science-article

Harvard

Block, A, Debode, F, Grohmann, L, Hulin, J, Taverniers, I, Kluga, L, Barbau-Piednoir, E, Broeders, S, Huber, I, Van den Bulcke, M, Heinze, P, Berben, G, Busch, U, Roosens, N, Janssen, E, Zel, J, Gruden, K & Morisset, D 2013, 'The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants', BMC Bioinformatics, vol. 14, no. 1, pp. 256.

APA

Block, A., Debode, F., Grohmann, L., Hulin, J., Taverniers, I., Kluga, L., ... Morisset, D. (2013). The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants. BMC Bioinformatics, 14(1), 256.

Vancouver

Block A, Debode F, Grohmann L, Hulin J, Taverniers I, Kluga L et al. The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants. BMC Bioinformatics. 2013;14(1):256.

Author

Block, Anette ; Debode, Frédéric ; Grohmann, Lutz ; Hulin, Julie ; Taverniers, Isabel ; Kluga, Linda ; Barbau-Piednoir, Elodie ; Broeders, Sylvia ; Huber, Ingrid ; Van den Bulcke, Marc ; Heinze, Petra ; Berben, Gilbert ; Busch, Ulrich ; Roosens, Nancy ; Janssen, Eric ; Zel, Jana ; Gruden, Kristina ; Morisset, Dany. / The GMOseek matrix : a decision support tool for optimizing the detection of genetically modified plants. In: BMC Bioinformatics. 2013 ; Vol. 14, No. 1. pp. 256.

Bibtex

@article{4adcf276972745bbb48b06daad08afce,
title = "The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants",
abstract = "Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs' molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information.DescriptionThe GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available. The GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms",
keywords = "B110-bioinformatics, B420-nutrition",
author = "Anette Block and Fr{\'e}d{\'e}ric Debode and Lutz Grohmann and Julie Hulin and Isabel Taverniers and Linda Kluga and Elodie Barbau-Piednoir and Sylvia Broeders and Ingrid Huber and {Van den Bulcke}, Marc and Petra Heinze and Gilbert Berben and Ulrich Busch and Nancy Roosens and Eric Janssen and Jana Zel and Kristina Gruden and Dany Morisset",
year = "2013",
language = "English",
volume = "14",
pages = "256",
journal = "BMC Bioinformatics",
issn = "1471-2105",
publisher = "Biomed Central Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - The GMOseek matrix

T2 - a decision support tool for optimizing the detection of genetically modified plants

AU - Block, Anette

AU - Debode, Frédéric

AU - Grohmann, Lutz

AU - Hulin, Julie

AU - Taverniers, Isabel

AU - Kluga, Linda

AU - Barbau-Piednoir, Elodie

AU - Broeders, Sylvia

AU - Huber, Ingrid

AU - Van den Bulcke, Marc

AU - Heinze, Petra

AU - Berben, Gilbert

AU - Busch, Ulrich

AU - Roosens, Nancy

AU - Janssen, Eric

AU - Zel, Jana

AU - Gruden, Kristina

AU - Morisset, Dany

PY - 2013

Y1 - 2013

N2 - Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs' molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information.DescriptionThe GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available. The GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms

AB - Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs' molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information.DescriptionThe GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available. The GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms

KW - B110-bioinformatics

KW - B420-nutrition

M3 - A1: Web of Science-article

VL - 14

SP - 256

JO - BMC Bioinformatics

JF - BMC Bioinformatics

SN - 1471-2105

IS - 1

ER -