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Whole Genome Amplification

Overview of attention for book
Cover of 'Whole Genome Amplification'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Principles of Whole-Genome Amplification
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    Chapter 2 Bias in Whole Genome Amplification: Causes and Considerations.
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    Chapter 3 The Single-Cell Lab or How to Perform Single-Cell Molecular Analysis
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    Chapter 4 Sample Preparation Methods Following CellSearch Approach Compatible of Single-Cell Whole-Genome Amplification: An Overview
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    Chapter 5 Deterministic Whole-Genome Amplification of Single Cells.
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    Chapter 6 Construction of a DNA Library on Microbeads Using Whole Genome Amplification
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    Chapter 7 Heat-Induced Fragmentation and Adapter-Assisted Whole Genome Amplification Using GenomePlex ® Single-Cell Whole Genome Amplification Kit (WGA4)
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    Chapter 8 Whole Genome Amplification by Isothermal Multiple Strand Displacement Using Phi29 DNA Polymerase.
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    Chapter 9 Using Multiplex PCR for Assessing the Quality of Whole Genome Amplified DNA
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    Chapter 10 Quality Control of Isothermal Amplified DNA Based on Short Tandem Repeat Analysis
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    Chapter 11 Laser Microdissection of FFPE Tissue Areas and Subsequent Whole Genome Amplification by Ampli 1™
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    Chapter 12 Whole Genome Amplification from Blood Spot Samples
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    Chapter 13 Analysis of Whole Mitogenomes from Ancient Samples
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    Chapter 14 Copy Number Variation Analysis by Array Analysis of Single Cells Following Whole Genome Amplification.
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    Chapter 15 Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells.
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    Chapter 16 Whole Genome Amplification of Labeled Viable Single Cells Suited for Array-Comparative Genomic Hybridization
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    Chapter 17 Low-Volume On-Chip Single-Cell Whole Genome Amplification for Multiple Subsequent Analyses.
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    Chapter 18 Detection and Characterization of Circulating Tumor Cells by the CellSearch Approach
Attention for Chapter 8: Whole Genome Amplification by Isothermal Multiple Strand Displacement Using Phi29 DNA Polymerase.
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Chapter title
Whole Genome Amplification by Isothermal Multiple Strand Displacement Using Phi29 DNA Polymerase.
Chapter number 8
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_8
Pubmed ID
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Kroneis, Thomas, El-Heliebi, Amin, Thomas Kroneis, Amin El-Heliebi

Abstract

The here described method of isothermal whole genome amplification (iWGA) uses a Phi29 DNA polymerase-based kit (Illustra GenomiPhi V2 DNA Amplification Kit) that amplifies minute quantities of DNA by multiple strand displacement upon random hexamer primer binding. Starting from genomic DNA or single cells this amplification yields up to 5 μg of iWGA product with fragment lengths of 10 kb and longer. As this amplification lacks the need of fragmenting DNA, its products are well suited for many downstream applications (e.g. sequencing and DNA profiling). On the contrary, degraded DNA samples are not supported by the nature of the amplification and are not well suited.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Bachelor 1 8%
Student > Master 1 8%
Unknown 4 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 25%
Agricultural and Biological Sciences 2 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Arts and Humanities 1 8%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2016.
All research outputs
#17,773,420
of 22,828,180 outputs
Outputs from Methods in molecular biology
#7,236
of 13,125 outputs
Outputs of similar age
#241,885
of 353,128 outputs
Outputs of similar age from Methods in molecular biology
#431
of 997 outputs
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We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.