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Whole Genome Amplification

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

Table of Contents

  1. Altmetric Badge
    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 1: Principles of Whole-Genome Amplification
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Citations

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Chapter title
Principles of Whole-Genome Amplification
Chapter number 1
Book title
Whole Genome Amplification
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2990-0_1
Pubmed ID
Book ISBNs
978-1-4939-2989-4, 978-1-4939-2990-0
Authors

Zbigniew Tadeusz Czyz, Stefan Kirsch, Bernhard Polzer, Czyz, Zbigniew Tadeusz, Kirsch, Stefan, Polzer, Bernhard

Abstract

Modern molecular biology relies on large amounts of high-quality genomic DNA. However, in a number of clinical or biological applications this requirement cannot be met, as starting material is either limited (e.g., preimplantation genetic diagnosis (PGD) or analysis of minimal residual cancer) or of insufficient quality (e.g., formalin-fixed paraffin-embedded tissue samples or forensics). As a consequence, in order to obtain sufficient amounts of material to analyze these demanding samples by state-of-the-art modern molecular assays, genomic DNA has to be amplified. This chapter summarizes available technologies for whole-genome amplification (WGA), bridging the last 25 years from the first developments to currently applied methods. We will especially elaborate on research application, as well as inherent advantages and limitations of various WGA technologies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 39%
Student > Master 5 18%
Student > Bachelor 3 11%
Researcher 3 11%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 3 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 43%
Agricultural and Biological Sciences 4 14%
Medicine and Dentistry 4 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 January 2017.
All research outputs
#7,554,098
of 23,043,346 outputs
Outputs from Methods in molecular biology
#2,341
of 13,194 outputs
Outputs of similar age
#106,471
of 354,277 outputs
Outputs of similar age from Methods in molecular biology
#169
of 998 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,277 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 998 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.