Evidence map›Paper›PMID 18522755›Full record

ArticleBMC bioinformatics2008

GMDD: a database of GMO detection methods.

Wei Dong, Litao Yang, Kailin Shen, Banghyun Kim, Gijs A Kleter, Hans J P Marvin, Rong Guo, Wanqi Liang, Dabing Zhang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  12. JRC GMO-Amplicons: a collection of nucleic acid sequences related to genetically modified organisms.Database : the journal of biological databases and curation · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wei DongGMO Detection Laboratory, SJTU-Bor Luh Food Safety Center, Key Laboratory of Microbial Metabolism, Ministry of Education, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, PR China. dong_wei@sjtu.edu.cn
Litao Yang
Kailin Shen
Banghyun Kim
Gijs A Kleter
Hans J P Marvin
Rong Guo
Wanqi Liang
Dabing Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 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.

resultsGMO 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.

conclusionGMDD contains comprehensive information of GMO detection methods. The database will make the GMOs analysis much easier.

Indexed as

Database Management SystemsUser-Computer InterfaceAnimalsDatabases, FactualGenetic EngineeringOrganisms, Genetically ModifiedReference Standards

Identifiers

PMID18522755
PMCPMC2430717

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Registered trials

None linked

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.