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Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines

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Cover of 'Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines'

Table of Contents

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    Book Overview
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    Chapter 1 Immunomic Discovery of Adjuvants, Delivery Systems, and Candidate Subunit Vaccines: A Brief Introduction
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    Chapter 2 Bacterial Genomes and Vaccine Design
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    Chapter 3 Identification of Candidate Vaccine Antigens In Silico
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    Chapter 4 Post-genomic Antigen Discovery: Bioinformatical Approaches to Reveal Novel T Cell Antigens of Mycobacterium bovis
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    Chapter 5 Genome-Based Computational Vaccine Discovery by Reverse Vaccinology
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    Chapter 6 Computational Prediction of Protein Subcellular Localization, Genomic Islands, and Virulence to Aid Antigen Discovery
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    Chapter 7 On the Development of Vaccine Antigen Databases: Progress, Opportunity, and Challenge
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    Chapter 8 What Have Dendritic Cells Ever Done for Adjuvant Design? Cellular and Molecular Methods for the Rational Development of Vaccine Adjuvants
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    Chapter 9 Towards the Systematic Discovery of Immunomodulatory Adjuvants
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    Chapter 10 Designing Liposomes as Vaccine Adjuvants
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    Chapter 11 Designing Nonionic Surfactant Vesicles for the Delivery of Antigens for Systemic and Alternative Delivery Routes
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    Chapter 12 Immune Stimulating Complexes (ISCOMs) and Quil-A Containing Particulate Formulations as Vaccine Delivery Systems
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    Chapter 13 Formulation and Characterisation of PLGA Microspheres as Vaccine Adjuvants
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    Chapter 14 Powder Vaccines for Pulmonary Delivery
Attention for Chapter 2: Bacterial Genomes and Vaccine Design
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Chapter title
Bacterial Genomes and Vaccine Design
Chapter number 2
Book title
Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-5070-2_2
Book ISBNs
978-1-4614-5069-6, 978-1-4614-5070-2
Authors

Valeria Cafardi, John L. Telford, Davide Serruto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 3 21%
Other 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Veterinary Science and Veterinary Medicine 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 6 43%