ArticleBMC bioinformatics2014
JRC GMO-Matrix: a web application to support Genetically Modified Organisms detection strategies.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 49 citations in OpenAlex.
- Can GM soybean be reliably quantified after screening? A risk-based approach for optimizing GMO testing workflow.GM crops & food · 2026Article
- Suitability of Real-Time PCR Methods for New Genomic Technique Detection in the Context of the European Regulations: A Case Study in Arabidopsis.International journal of molecular sciences · 2025Article
- In-House Validation of Four Duplex Droplet Digital PCR Assays to Quantify GM Soybean Events.Foods (Basel, Switzerland) · 2024Article
- GMOIT: a tool for effective screening of genetically modified crops.BMC plant biology · 2024Article
- Development of a Systematic qPCR Array for Screening GM Soybeans.Foods (Basel, Switzerland) · 2021Article
- Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.Frontiers in plant science · 2017Review
- Perspectives on genetically modified crops and food detection.Journal of food and drug analysis · 2016Review
- JRC GMO-Amplicons: a collection of nucleic acid sequences related to genetically modified organisms.Database : the journal of biological databases and curation · 2015Article
- Current and new approaches in GMO detection: challenges and solutions.BioMed research international · 2015Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe polymerase chain reaction (PCR) is the current state of the art technique for DNA-based detection of Genetically Modified Organisms (GMOs). A typical control strategy starts by analyzing a sample for the presence of target sequences (GM-elements) known to be present in many GMOs. Positive findings from this "screening" are then confirmed with GM (event) specific test methods. A reliable knowledge of which GMOs are detected by combinations of GM-detection methods is thus crucial to minimize the verification efforts. DESCRIPTION: In this article, we describe a novel platform that links the information of two unique databases built and maintained by the European Union Reference Laboratory for Genetically Modified Food and Feed (EU-RL GMFF) at the Joint Research Centre (JRC) of the European Commission, one containing the sequence information of known GM-events and the other validated PCR-based detection and identification methods. The new platform compiles in silico determinations of the detection of a wide range of GMOs by the available detection methods using existing scripts that simulate PCR amplification and, when present, probe binding. The correctness of the information has been verified by comparing the in silico conclusions to experimental results for a subset of forty-nine GM events and six methods.
conclusionsThe JRC GMO-Matrix is unique for its reliance on DNA sequence data and its flexibility in integrating novel GMOs and new detection methods. Users can mine the database using a set of web interfaces that thus provide a valuable support to GMO control laboratories in planning and evaluating their GMO screening strategies. The platform is accessible at http://gmo-crl.jrc.ec.europa.eu/jrcgmomatrix/ .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.