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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
  2. Altmetric Badge
    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 19: Infectious Disease Ontology
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Chapter title
Infectious Disease Ontology
Chapter number 19
Book title
Infectious Disease Informatics
Published by
Springer, New York, NY, January 2010
DOI 10.1007/978-1-4419-1327-2_19
Book ISBNs
978-1-4419-1326-5, 978-1-4419-1327-2
Authors

Lindsay Grey Cowell, Barry Smith, Cowell, Lindsay Grey, Smith, Barry

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Portugal 2 3%
Spain 1 2%
Mexico 1 2%
Unknown 53 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 10 17%
Student > Master 6 10%
Professor 6 10%
Student > Bachelor 4 7%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Computer Science 17 28%
Agricultural and Biological Sciences 11 18%
Environmental Science 4 7%
Medicine and Dentistry 3 5%
Business, Management and Accounting 2 3%
Other 10 17%
Unknown 13 22%