GMO quantification: valuable experience and insights for the future.
about
Current and new approaches in GMO detection: challenges and solutionsNew multiplex PCR methods for rapid screening of genetically modified organisms in foods.Event-specific detection of transgenic potato AV43-6-G7 using real-time and digital PCR methods.Development, Optimization, and Evaluation of a Duplex Droplet Digital PCR Assay To Quantify the T-nos/hmg Copy Number Ratio in Genetically Modified Maize.Multiplex quantification of four DNA targets in one reaction with Bio-Rad droplet digital PCR system for GMO detection.Optimization of digital droplet polymerase chain reaction for quantification of genetically modified organisms.Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.Development and validation of the modular Feed-code method for qualitative and quantitative determination of feed botanical composition.Addition of a histone deacetylase inhibitor increases recombinant protein expression in Medicago truncatula cell cultures.Optimization and Verification of Droplet Digital PCR Even-Specific Methods for the Quantification of GM Maize DAS1507 and NK603.Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.
P2860
Q26778416-0A9C0EDF-8532-4967-8C01-A531E8F166C0Q35884226-6DF1E772-E2FC-4077-8622-4E8D27DE5A34Q36175361-0B0EDA22-F488-4E2F-8D48-0A400713415BQ36478929-8964B9AC-2C5A-4F1B-9582-7E0EB6593842Q37339688-D0213A69-F9CB-45DC-9125-F66363B849DBQ40033381-1EBE3003-CB67-4A68-95BD-965A6063F505Q43186475-2D16D6D8-2DA9-4889-B178-C77BA3A10FECQ46483055-EFC4DCC4-88F8-4122-954B-34124A38938AQ47119392-664BAC62-7A61-4E7E-80EC-3C07B702DE2FQ48354632-6953D058-9225-4440-A0D7-3AD34F3F6DE1Q51416140-2CA1ED27-59C3-4924-A4A5-AE85E1FB7884
P2860
GMO quantification: valuable experience and insights for the future.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
GMO quantification: valuable experience and insights for the future.
@en
type
label
GMO quantification: valuable experience and insights for the future.
@en
prefLabel
GMO quantification: valuable experience and insights for the future.
@en
P2093
P2860
P1476
GMO quantification: valuable experience and insights for the future.
@en
P2093
Dabing Zhang
David Dobnik
Litao Yang
P2860
P2888
P304
P356
10.1007/S00216-014-8077-0
P407
P577
2014-08-16T00:00:00Z