Design of a DNA chip for detection of unknown genetically modified organisms (GMOs) | Zendy

Håvard Nesvold | Zendy; Anja Bråthen Kristoffersen | Zendy; Arne HolstJensen | Zendy; Knut G Berdal | Zendy

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Design of a DNA chip for detection of unknown genetically modified organisms (GMOs)

Author(s) -

Håvard Nesvold,

Anja Bråthen Kristoffersen,

Arne HolstJensen,

Knut G Berdal

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti248

Subject(s) - genetically modified organism , false positive paradox , computer science , computational biology , set (abstract data type) , genetically engineered , organism , biochemical engineering , artificial intelligence , machine learning , microbiology and biotechnology , biology , genetics , engineering , gene , programming language

Unknown genetically modified organisms (GMOs) have not undergone a risk evaluation, and hence might pose a danger to health and environment. There are, today, no methods for detecting unknown GMOs. In this paper we propose a novel method intended as a first step in an approach for detecting unknown genetically modified (GM) material in a single plant.

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