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Quantitative Real-Time PCR

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Cover of 'Quantitative Real-Time PCR'

Table of Contents

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    Book Overview
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    Chapter 1 A Quarter Century of PCR-Applied Techniques and Their Still-Increasing Fields of Use
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    Chapter 2 Parameters for Successful PCR Primer Design
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    Chapter 3 MIQE-Compliant Validation of MicroRNA Biomarker Signatures Established by Small RNA Sequencing
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    Chapter 4 Enhanced Probe-Based RT-qPCR Quantification of MicroRNAs Using Poly(A) Tailing and 5′ Adaptor Ligation
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    Chapter 5 A Novel System to Discriminate HLA-C mir148a Binding Site by Allele-Specific Quantitative PC R
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    Chapter 6 Detection of Yellow Fever Virus by Quantitative Real-Time PCR (qPCR)
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    Chapter 7 Evaluation of the Abundance of Fungi in Wastewater Treatment Plants Using Quantitative PCR (qPCR)
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    Chapter 8 Early Detection of Fungal Plant Pathogens by Real-Time Quantitative PCR: The Case of Diplodia sapinea on Pine
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    Chapter 9 A General Protocol for Accurate Gene Expression Analysis in Plants
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    Chapter 10 Gene Expression Analysis in Bacteria by RT-qPCR
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    Chapter 11 Detection and Characterization of Circulating Tumor Cells by Quantitative Real-Time PCR
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    Chapter 12 Molecular Monitoring of Chronic Myeloid Leukemia
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    Chapter 13 Normalization in Human Glioma Tissue
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    Chapter 14 qPCR Applications for the Determination of the Biological Age
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    Chapter 15 QuantStudio ™ 12K Flex OpenArray ® System as a Tool for High-Throughput Genotyping and Gene Expression Analysis
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    Chapter 16 Digital PCR and the QuantStudio™ 3D Digital PCR System
Attention for Chapter 4: Enhanced Probe-Based RT-qPCR Quantification of MicroRNAs Using Poly(A) Tailing and 5′ Adaptor Ligation
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Chapter title
Enhanced Probe-Based RT-qPCR Quantification of MicroRNAs Using Poly(A) Tailing and 5′ Adaptor Ligation
Chapter number 4
Book title
Quantitative Real-Time PCR
Published by
Humana, New York, NY, January 2020
DOI 10.1007/978-1-4939-9833-3_4
Pubmed ID
Book ISBNs
978-1-4939-9832-6, 978-1-4939-9833-3
Authors

Valentin Vautrot, Isabelle Behm-Ansmant, Vautrot, Valentin, Behm-Ansmant, Isabelle

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Chemical Engineering 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%