Statistical framework for detection of Genetically Modified Organisms based on Next Generation Sequencing

Last updated on 23-8-2019 by Anonymous (not verified)

Peer reviewed scientific article

English

Abstract:

Because the number and diversity of genetically modified (GM) crops has significantly increased, their analysis based on real-time PCR (qPCR) methods is becoming increasingly complex and laborious. While several pioneers already investigated Next Generation Sequencing (NGS) as an alternative to qPCR, its practical use has not been assessed for routine analysis. In this study a statistical framework was developed to predict the number of NGS reads needed to detect transgene sequences, to prove their integration into the host genome and to identify the specific transgene event in a sample wit…

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