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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 Twenty Years of qPCR: A Mature Technology?
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    Chapter 2 Minimum Information Necessary for Quantitative Real-Time PCR Experiments
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    Chapter 3 Selection of Reliable Reference Genes for RT-qPCR Analysis.
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    Chapter 4 Introduction to Digital PCR
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    Chapter 5 mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling
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    Chapter 6 Quantitative Real-Time PCR
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    Chapter 7 Absolute Quantification of Viral DNA: The Quest for Perfection
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    Chapter 8 A Multiplex Real-Time PCR-Platform Integrated into Automated Extraction Method for the Rapid Detection and Measurement of Oncogenic HPV Type-Specific Viral DNA Load from Cervical Samples
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    Chapter 9 Real-Time PCR Detection of Mycoplasma pneumoniae in the Diagnosis of Community-Acquired Pneumonia.
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    Chapter 10 A Sensible Technique to Detect Mollicutes Impurities in Human Cells Cultured in GMP Condition
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    Chapter 11 Real-time Quantification Assay to Monitor BCR-ABL1 Transcripts in Chronic Myeloid Leukemia
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    Chapter 12 A Reliable Assay for Rapidly Defining Transplacental Metastasis Using Quantitative PCR
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    Chapter 13 Circulating Cell-Free DNA in Cancer
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    Chapter 14 Gene Expression Analysis by qPCR in Clinical Kidney Transplantation
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    Chapter 15 Posttranscriptional Regulatory Networks: From Expression Profiling to Integrative Analysis of mRNA and MicroRNA Data
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    Chapter 16 Quantitative Real-Time PCR
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    Chapter 17 Quantitative Real-Time PCR
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Title
Quantitative Real-Time PCR
Published by
Springer New York, April 2014
DOI 10.1007/978-1-4939-0733-5
ISBNs
978-1-4939-0732-8, 978-1-4939-0733-5
Editors

Biassoni, Roberto, Raso, Alessandro

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Canada 1 1%
Unknown 77 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 20%
Student > Ph. D. Student 11 14%
Researcher 10 13%
Student > Doctoral Student 7 9%
Student > Postgraduate 7 9%
Other 14 18%
Unknown 14 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 30%
Agricultural and Biological Sciences 19 24%
Engineering 5 6%
Medicine and Dentistry 4 5%
Nursing and Health Professions 2 3%
Other 7 9%
Unknown 18 23%