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Infectious Disease Informatics

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Cover of 'Infectious Disease Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Informatics for Infectious Disease Research and Control
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    Chapter 2 Bioinformatics of Microbial Sequences
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    Chapter 3 Mining Databases for Microbial Gene Sequences
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    Chapter 4 Infectious Disease Informatics
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    Chapter 5 Systems Microbiology: Gaining Insights in Transcriptional Networks
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    Chapter 6 Host–Pathogen Systems Biology
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    Chapter 7 Text Mining for Discovery of Host–Pathogen Interactions
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    Chapter 8 A Network Approach to Understanding Pathogen Population Structure
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    Chapter 9 Computational Epitope Mapping
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    Chapter 10 Pangenomic Reverse Vaccinology
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    Chapter 11 Immunoinformatics: The Next Step in Vaccine Design
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    Chapter 12 Understanding the Shared Bacterial Genome
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    Chapter 13 Computational Grammars for Interrogation of Genomes
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    Chapter 14 In silico Discovery of Chemotherapeutic Agents
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    Chapter 15 Informatics for Healthcare Epidemiology
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    Chapter 16 Automated, High-throughput Surveillance Systems for Public Health
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    Chapter 17 Microbial Genotyping Systems for Infection Control
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    Chapter 18 Infectious Disease Informatics
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    Chapter 19 Infectious Disease Ontology
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    Chapter 20 Populations, Patients, Germs and Genes: Ethics Of Genomics and Informatics in Communicable Disease Control
Attention for Chapter 8: A Network Approach to Understanding Pathogen Population Structure
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Citations

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Chapter title
A Network Approach to Understanding Pathogen Population Structure
Chapter number 8
Book title
Infectious Disease Informatics
Published by
Springer, New York, NY, January 2010
DOI 10.1007/978-1-4419-1327-2_8
Book ISBNs
978-1-4419-1326-5, 978-1-4419-1327-2
Authors

Caroline O. Buckee, Sunetra Gupta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 11%
Denmark 1 11%
Canada 1 11%
Unknown 6 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 56%
Professor > Associate Professor 2 22%
Other 1 11%
Student > Master 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Mathematics 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Immunology and Microbiology 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 1 11%