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Microsatellites

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Cover of 'Microsatellites'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Microsatellites: Evolution and Contribution
  3. Altmetric Badge
    Chapter 2 Screening of Genomic Libraries
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    Chapter 3 PCR-Based Isolation of Microsatellite Arrays (PIMA)
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    Chapter 4 Fast Isolation by AFLP of Sequences Containing Repeats
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    Chapter 5 Microsatellite DNA Capture from Enriched Libraries
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    Chapter 6 Next-Generation Sequencing for High-Throughput Molecular Ecology: A Step-by-Step Protocol for Targeted Multilocus Genotyping by Pyrosequencing.
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    Chapter 7 Optimizing Selection of Microsatellite Loci from 454 Pyrosequencing via Post-sequencing Bioinformatic Analyses
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    Chapter 8 Identification of DNA-Microsatellite Markers for the Characterization of Somatic Embryos in Quercus suber
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    Chapter 9 Simple Sequence Repeats Amplification
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    Chapter 10 Microsatellite Amplification in Plants: Optimization Procedure of Major PCR Components
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    Chapter 11 Development of a Multiplex PCR Assay for Characterization of Embryonic Stem Cells
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    Chapter 12 Agarose Gel Electrophoresis and Polyacrylamide Gel Electrophoresis for Visualization of Simple Sequence Repeats
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    Chapter 13 Microsatellite Fragment Analysis Using the ABI Prism ® 377 DNA Sequencer
  15. Altmetric Badge
    Chapter 14 Robust and inexpensive SSR Markers Analyses using LI-COR DNA Analyzer.
  16. Altmetric Badge
    Chapter 15 The Use of the MegaBACE for Sequencing and Genotype Analysis
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    Chapter 16 Analyzing Microsatellites Using the QIAxcel System
  18. Altmetric Badge
    Chapter 17 Microsatellite analysis of malaria parasites.
  19. Altmetric Badge
    Chapter 18 Informativeness of Microsatellite Markers
  20. Altmetric Badge
    Chapter 19 Microsatellite data analysis for population genetics.
  21. Altmetric Badge
    Chapter 20 Molecular Mapping and Breeding with Microsatellite Markers
  22. Altmetric Badge
    Chapter 21 Scoring Microsatellite Loci
Attention for Chapter 19: Microsatellite data analysis for population genetics.
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Chapter title
Microsatellite data analysis for population genetics.
Chapter number 19
Book title
Microsatellites
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-389-3_19
Pubmed ID
Book ISBNs
978-1-62703-388-6, 978-1-62703-389-3
Authors

Kyung Seok Kim, Thomas W. Sappington

Abstract

Theories and analytical tools of population genetics have been widely applied for addressing various questions in the fields of ecological genetics, conservation biology, and any context where the role of dispersal or gene flow is important. Underlying much of population genetics is the analysis of variation at selectively neutral marker loci, and microsatellites continue to be a popular choice of marker. In recent decades, software programs to estimate population genetics parameters have been developed at an increasing pace as computational science and theoretical knowledge advance. Numerous population genetics software programs are presently available to analyze microsatellite genotype data, but only a handful are commonly employed for calculating parameters such as genetic variation, genetic structure, patterns of spatial and temporal gene flow, population demography, individual population assignment, and genetic relationships within and between populations. In this chapter, we introduce statistical analyses and relevant population genetic software programs that are commonly employed in the field of population genetics and molecular ecology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Sweden 1 <1%
Austria 1 <1%
Unknown 214 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 20%
Student > Bachelor 37 17%
Student > Ph. D. Student 33 15%
Researcher 28 13%
Student > Doctoral Student 10 5%
Other 21 10%
Unknown 46 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 39%
Biochemistry, Genetics and Molecular Biology 53 24%
Environmental Science 17 8%
Veterinary Science and Veterinary Medicine 4 2%
Immunology and Microbiology 2 <1%
Other 10 5%
Unknown 47 22%
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 03 April 2013.
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#18,333,600
of 22,703,044 outputs
Outputs from Methods in molecular biology
#7,845
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Outputs of similar age
#218,001
of 280,707 outputs
Outputs of similar age from Methods in molecular biology
#220
of 340 outputs
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