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Genetic Variation

Overview of attention for book
Cover of 'Genetic Variation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genetic Variation Analysis for Biomedical Researchers: A Primer
  3. Altmetric Badge
    Chapter 2 Exploring the Landscape of the Genome
  4. Altmetric Badge
    Chapter 3 Asking Complex Questions of the Genome Without Programming
  5. Altmetric Badge
    Chapter 4 Laboratory Methods for the Detection of Chromosomal Abnormalities
  6. Altmetric Badge
    Chapter 5 Cancer Genome Analysis Informatics
  7. Altmetric Badge
    Chapter 6 Copy Number Variations in the Human Genome and Strategies for Analysis
  8. Altmetric Badge
    Chapter 7 A Short Primer on the Functional Analysis of Copy Number Variation for Biomedical Scientists
  9. Altmetric Badge
    Chapter 8 Computational Methods for the Analysis of Primate Mobile Elements
  10. Altmetric Badge
    Chapter 9 Laboratory Methods for the Analysis of Primate Mobile Elements
  11. Altmetric Badge
    Chapter 10 Practical Informatics Approaches to Microsatellite and Variable Number Tandem Repeat Analysis
  12. Altmetric Badge
    Chapter 11 Genetic Variation
  13. Altmetric Badge
    Chapter 12 Whole genome sequencing.
  14. Altmetric Badge
    Chapter 13 Detection of Mitochondrial DNA Variation in Human Cells
  15. Altmetric Badge
    Chapter 14 An Introduction to Mitochondrial Informatics
  16. Altmetric Badge
    Chapter 15 Web-Based Analysis of (Epi-) Genome Data Using EpiGRAPH and Galaxy
  17. Altmetric Badge
    Chapter 16 Short tandem repeats and genetic variation.
  18. Altmetric Badge
    Chapter 17 Bioinformatic Tools for Identifying Disease Gene and SNP Candidates
  19. Altmetric Badge
    Chapter 18 Analysis of the Impact of Genetic Variation on Human Gene Expression
  20. Altmetric Badge
    Chapter 19 Quality control for genome-wide association studies.
  21. Altmetric Badge
    Chapter 20 Gaining a Pathway Insight into Genetic Association Data
Attention for Chapter 16: Short tandem repeats and genetic variation.
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Chapter title
Short tandem repeats and genetic variation.
Chapter number 16
Book title
Genetic Variation
Published in
Methods in molecular biology, March 2010
DOI 10.1007/978-1-60327-367-1_16
Pubmed ID
Book ISBNs
978-1-60327-366-4, 978-1-60327-367-1
Authors

Madsen BE, Villesen P, Wiuf C, Bo Eskerod Madsen, Palle Villesen, Carsten Wiuf, Madsen, Bo Eskerod, Villesen, Palle, Wiuf, Carsten

Abstract

Single nucleotide polymorphisms (SNPs) are widely distributed in the human genome and although most SNPs are the result of independent point-mutations, there are exceptions. When studying distances between SNPs, a periodic pattern in the distance between pairs of identical SNPs has been found to be heavily correlated with periodicity in short tandem repeats (STRs). STRs are short DNA segments, widely distributed in the human genome and mainly found outside known tandem repeats. Because of the biased occurrence of SNPs, special care has to be taken when analyzing SNP-variation in STRs. We present a review of STRs in the human genome and discuss molecular mechanisms related to the biased occurrence of SNPs in STRs, and its implications for genome comparisons and genetic association studies.

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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 %
United Kingdom 2 7%
Argentina 1 4%
Unknown 25 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 4 14%
Unspecified 2 7%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 7 25%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 32%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 2 7%
Immunology and Microbiology 2 7%
Other 3 11%
Unknown 7 25%
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 14 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Methods in molecular biology
#7,903
of 13,111 outputs
Outputs of similar age
#85,236
of 94,355 outputs
Outputs of similar age from Methods in molecular biology
#15
of 20 outputs
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