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Genomics Protocols

Overview of attention for book
Cover of 'Genomics Protocols'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Whole genome amplification with Phi29 DNA polymerase to enable genetic or genomic analysis of samples of low DNA yield.
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    Chapter 2 Scanning for DNA Variants by Denaturant Capillary Electrophoresis
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    Chapter 3 Identification of SNPs, or Mutations in Sequence Chromatograms
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    Chapter 4 BeadArray-Based Genotyping
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    Chapter 5 Microsatellite-Based Candidate Gene Linkage Analysis Studies
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    Chapter 6 Full Complexity Genomic Hybridization on 60-mer Oligonucleotide Microarrays for Array Comparative Genomic Hybridization (aCGH)
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    Chapter 7 Detection of Copy Number Changes at Multiple Loci in DNA Prepared from Formalin-Fixed, Paraffin-Embedded Tissue by Multiplex Ligation-Dependent Probe Amplification
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    Chapter 8 Application of Microarrays for DNA Methylation Profiling
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    Chapter 9 Genomewide Identification of Protein Binding Locations Using Chromatin Immunoprecipitation Coupled with Microarray
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    Chapter 10 Transcriptional Profiling of Small Samples in the Central Nervous System
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    Chapter 11 Quantitative Expression Profiling of RNA from Formalin-Fixed, Paraffin-Embedded Tissues Using Randomly Assembled Bead Arrays
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    Chapter 12 Expression Profiling of microRNAs in Cancer Cells: Technical Considerations
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    Chapter 13 Identification of Disease Biomarkers by Profiling of Serum Proteins Using SELDI-TOF Mass Spectrometry
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    Chapter 14 The Applicability of a Cluster of Differentiation Monoclonal Antibody Microarray to the Diagnosis of Human Disease
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    Chapter 15 Protein Profiling Based on Two-Dimensional Difference Gel Electrophoresis
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    Chapter 16 Quantitative Protein Profiling by Mass Spectrometry Using Isotope-Coded Affinity Tags
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    Chapter 17 Quantitative protein profiling by mass spectrometry using label-free proteomics.
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    Chapter 18 Using 2D-LC-MS/MS to Identify Francisella tularensis Peptides in Extracts from an Infected Mouse Macrophage Cell Line
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    Chapter 19 Baculovirus Expression Vector System: An Emerging Host for High-Throughput Eukaryotic Protein Expression
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    Chapter 20 Coimmunoprecipitation and Proteomic Analyses
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    Chapter 21 Tandem Affinity Purification Combined with Mass Spectrometry to Identify Components of Protein Complexes
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    Chapter 22 Mammalian Two-Hybrid Assay for Detecting Protein-Protein Interactions in Vivo
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    Chapter 23 Detection of protein-protein interactions in live cells and animals with split firefly luciferase protein fragment complementation.
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    Chapter 24 Subcellular Localization of Intracellular Human Proteins by Construction of Tagged Fusion Proteins and Transient Expression in COS-7 Cells
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    Chapter 25 GeneFAS: GeneFAS: A Tool for the Prediction of Gene function Using Multiple Sources of Data
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    Chapter 26 Comparative Genomics-Based Prediction of Protein Function
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    Chapter 27 Design, Manufacture, and Assay of the Efficacy of siRNAs for Gene Silencing
Attention for Chapter 1: Whole genome amplification with Phi29 DNA polymerase to enable genetic or genomic analysis of samples of low DNA yield.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
patent
5 patents
wikipedia
2 Wikipedia pages

Readers on

mendeley
97 Mendeley
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2 CiteULike
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Chapter title
Whole genome amplification with Phi29 DNA polymerase to enable genetic or genomic analysis of samples of low DNA yield.
Chapter number 1
Book title
Genomics Protocols
Published in
Methods in molecular biology, March 2008
DOI 10.1007/978-1-59745-188-8_1
Pubmed ID
Book ISBNs
978-1-58829-871-3, 978-1-59745-188-8
Authors

Kaisa Silander, Janna Saarela, Silander, Kaisa, Saarela, Janna

Abstract

In many large genetic studies, the amount of available DNA can be one of the criteria for selecting samples for study. In the case of large population cohorts, selecting samples based on their DNA yield can lead to biased sample selection. In addition, many valuable clinical and research sample collections exist in which the amount of DNA is very small. Unbiased whole genome amplification (WGA) of such unique samples enables genomewide scale genetic studies that would have been impossible otherwise. Multiply primed rolling circle amplification (MPRCA) and multiple displacement amplification (MDA) methods are based on the same principle. The DNA amplification is non-PCR based and uses Phi29 DNA polymerase and random hexamer primers for unbiased whole genome amplification. MDA is used for linear DNA molecules, such as genomic DNA. This chapter reviews the various applications in which whole genome amplified DNA can be used, the types of commercial kits available, and the quality control steps necessary before using the DNA in the genetic studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
France 1 1%
Norway 1 1%
Brazil 1 1%
Germany 1 1%
Mexico 1 1%
Switzerland 1 1%
Russia 1 1%
Other 1 1%
Unknown 84 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 24%
Student > Ph. D. Student 21 22%
Professor > Associate Professor 9 9%
Student > Master 8 8%
Student > Postgraduate 6 6%
Other 16 16%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 53%
Biochemistry, Genetics and Molecular Biology 17 18%
Environmental Science 3 3%
Immunology and Microbiology 2 2%
Medicine and Dentistry 2 2%
Other 5 5%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 May 2023.
All research outputs
#2,004,103
of 23,815,455 outputs
Outputs from Methods in molecular biology
#289
of 13,447 outputs
Outputs of similar age
#5,064
of 83,018 outputs
Outputs of similar age from Methods in molecular biology
#1
of 25 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,447 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 83,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.