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      MicroRNAs in durum wheat seedlings under chronic and short-term nitrogen stress

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            FactoMineR: AnRPackage for Multivariate Analysis

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              A decimal code for the growth stages of cereals

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Functional & Integrative Genomics
                Funct Integr Genomics
                Springer Science and Business Media LLC
                1438-793X
                1438-7948
                November 2018
                June 8 2018
                November 2018
                : 18
                : 6
                : 645-657
                Article
                10.1007/s10142-018-0619-7
                29948458
                450fb334-c7d8-4a7e-878e-1ac6825cb0e7
                © 2018

                http://www.springer.com/tdm

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