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Clinical Bioinformatics

Overview of attention for book
Cover of 'Clinical Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 From the Phenotype to the Genotype via Bioinformatics
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    Chapter 2 Production and Analytic Bioinformatics for Next-Generation DNA Sequencing
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    Chapter 3 Analyzing the Metabolome
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    Chapter 4 Statistical Perspectives for Genome-Wide Association Studies (GWAS)
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    Chapter 5 Bioinformatics Challenges in Genome-Wide Association Studies (GWAS).
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    Chapter 6 Studying cancer genomics through next-generation DNA sequencing and bioinformatics.
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    Chapter 7 Using Bioinformatics Tools to Study the Role of microRNA in Cancer
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    Chapter 8 Chromosome Microarrays in Diagnostic Testing: Interpreting the Genomic Data
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    Chapter 9 Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders
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    Chapter 10 Pathogen Genome Bioinformatics
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    Chapter 11 Setting up next-generation sequencing in the medical laboratory.
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    Chapter 12 Managing incidental findings in exome sequencing for research.
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    Chapter 13 Approaches for Classifying DNA Variants Found by Sanger Sequencing in a Medical Genetics Laboratory
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    Chapter 14 Designing algorithms for determining significance of DNA missense changes.
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    Chapter 15 Clinical Bioinformatics
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    Chapter 16 Natural language processing in biomedicine: a unified system architecture overview.
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    Chapter 17 Candidate gene discovery and prioritization in rare diseases.
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    Chapter 18 Computer-Aided Drug Designing
Attention for Chapter 1: From the Phenotype to the Genotype via Bioinformatics
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Citations

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Chapter title
From the Phenotype to the Genotype via Bioinformatics
Chapter number 1
Book title
Clinical Bioinformatics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0847-9_1
Pubmed ID
24870127
Book ISBNs
978-1-4939-0846-2, 978-1-4939-0847-9
Authors

Cali E. Willet, Claire M. Wade

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Ph. D. Student 1 17%
Professor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Veterinary Science and Veterinary Medicine 1 17%
Unknown 2 33%

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