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Genetic Variation

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Cover of 'Genetic Variation'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Variation Analysis for Biomedical Researchers: A Primer
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    Chapter 2 Exploring the Landscape of the Genome
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    Chapter 3 Asking Complex Questions of the Genome Without Programming
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    Chapter 4 Laboratory Methods for the Detection of Chromosomal Abnormalities
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    Chapter 5 Cancer Genome Analysis Informatics
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    Chapter 6 Copy Number Variations in the Human Genome and Strategies for Analysis
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    Chapter 7 A Short Primer on the Functional Analysis of Copy Number Variation for Biomedical Scientists
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    Chapter 8 Computational Methods for the Analysis of Primate Mobile Elements
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    Chapter 9 Laboratory Methods for the Analysis of Primate Mobile Elements
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    Chapter 10 Practical Informatics Approaches to Microsatellite and Variable Number Tandem Repeat Analysis
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    Chapter 11 Genetic Variation
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    Chapter 12 Whole genome sequencing.
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    Chapter 13 Detection of Mitochondrial DNA Variation in Human Cells
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    Chapter 14 An Introduction to Mitochondrial Informatics
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    Chapter 15 Web-Based Analysis of (Epi-) Genome Data Using EpiGRAPH and Galaxy
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    Chapter 16 Short tandem repeats and genetic variation.
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    Chapter 17 Bioinformatic Tools for Identifying Disease Gene and SNP Candidates
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    Chapter 18 Analysis of the Impact of Genetic Variation on Human Gene Expression
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    Chapter 19 Quality control for genome-wide association studies.
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    Chapter 20 Gaining a Pathway Insight into Genetic Association Data
Attention for Chapter 17: Bioinformatic Tools for Identifying Disease Gene and SNP Candidates
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Chapter title
Bioinformatic Tools for Identifying Disease Gene and SNP Candidates
Chapter number 17
Book title
Genetic Variation
Published by
Methods Mol Biol, January 2010
DOI 10.1007/978-1-60327-367-1_17
Pubmed ID
Book ISBNs
978-1-60327-366-4, 978-1-60327-367-1
Authors

Mooney, Sean D., Krishnan, Vidhya G., Evani, Uday S., Sean D. Mooney, Vidhya G. Krishnan, Uday S. Evani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 127 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 19%
Student > Ph. D. Student 24 18%
Student > Master 17 13%
Student > Bachelor 16 12%
Student > Postgraduate 6 5%
Other 20 15%
Unknown 22 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 27%
Agricultural and Biological Sciences 34 26%
Computer Science 8 6%
Medicine and Dentistry 8 6%
Neuroscience 4 3%
Other 16 12%
Unknown 25 19%