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Microbial Genomic Islands in Adaptation and Pathogenicity

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Cover of 'Microbial Genomic Islands in Adaptation and Pathogenicity'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Microbial Genomic Islands for Evolutionary Adaptation and Pathogenicity
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    Chapter 2 Computation Tools for Prediction and Analysis of Genomic Islands
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    Chapter 3 An Overview of Genomic Islands’ Main Features and Computational Prediction: The CMNR Group of Bacteria As a Case Study
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    Chapter 4 Microbial Genomic Island Discovery: Visualization and Analysis
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    Chapter 5 Genomic Islands in Bacterial Genome Evolution and Speciation
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    Chapter 6 Genomic Islands in the Gut Microbiome: Current Knowledge and the Application in the Probiotics Field
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    Chapter 7 Genomic Islands in Nutritional Fitness and Adaptation
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    Chapter 8 Genomic Islands Involved in Iron Uptake
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    Chapter 9 Genomic Islands in Uropathogenic Escherichia coli
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    Chapter 10 Genomic Islands in Helicobacter Species
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    Chapter 11 Genomic Islands in Staphylococcus
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    Chapter 12 Genomic Islands in Pseudomonas Species
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    Chapter 13 Genomic Islands in Klebsiella pneumoniae
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    Chapter 14 Molecular Insights into Genomic Islands and Evolution of Vibrio cholerae
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    Chapter 15 Genomic Islands in Marine Bacteria
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    Chapter 16 Challenges in Eventing Horizontal Gene Transfer
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    Chapter 17 Artificial Intelligence and Machine Learning for Prediction and Analysis of Genomic Islands
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Title
Microbial Genomic Islands in Adaptation and Pathogenicity
Published by
Springer Nature Singapore, April 2023
DOI 10.1007/978-981-19-9342-8
ISBNs
978-9-81-199341-1, 978-9-81-199342-8
Editors

Mani, Indra, Singh, Vijai, Alzahrani, Khalid J., Chu, Dinh-Toi

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Unknown 3 60%
Readers by discipline Count As %
Environmental Science 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 3 60%