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Translational Bioinformatics and Its Application

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Cover of 'Translational Bioinformatics and Its Application'

Table of Contents

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    Book Overview
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    Chapter 1 Drug Discovery
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    Chapter 2 Translational Bioinformatics and Drug Discovery
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    Chapter 3 Translational Research in Drug Discovery and Development
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    Chapter 4 Exploring the Potential of Herbal Ligands Toward Multidrug-Resistant Bacterial Pathogens by Computational Drug Discovery
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    Chapter 5 The Progress of New Targets of Anti-HIV and Its Inhibitors
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    Chapter 6 Recent Studies on Mechanisms of New Drug Candidates for Alzheimer’s Disease Interacting with Amyloid-β Protofibrils Using Molecular Dynamics Simulations
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    Chapter 7 Homology Modelling, Structure-Based Pharmacophore Modelling, High-Throughput Virtual Screening and Docking Studies of L-Type Calcium Channel for Cadmium Toxicity
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    Chapter 8 Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases: An In Silico and In Vitro Advancement
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    Chapter 9 Genome-Wide Association Studies: A Comprehensive Tool to Explore Comparative Genomic Variations and Interactions
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    Chapter 10 A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA-Seq) Data Analysis
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    Chapter 11 Epigenetics and Its Role in Human Cancer
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    Chapter 12 Methods for Microbiome Analysis
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    Chapter 13 Pharmacogenomics: Clinical Perspective, Strategies, and Challenges
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    Chapter 14 Computational Network Approaches and Their Applications for Complex Diseases
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    Chapter 15 Bioinformatics Applications in Clinical Microbiology
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    Chapter 16 Artificial Intelligence and Automatic Image Interpretation in Modern Medicine
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    Chapter 17 Computation in Medicine: Medical Image Analysis and Visualization
Attention for Chapter 12: Methods for Microbiome Analysis
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Chapter title
Methods for Microbiome Analysis
Chapter number 12
Book title
Translational Bioinformatics and Its Application
Published in
Translational Medicine Research, April 2017
DOI 10.1007/978-94-024-1045-7_12
Book ISBNs
978-9-40-241043-3, 978-9-40-241045-7
Authors

Kalibulla Syed Ibrahim, Nachimuthu Senthil Kumar

Editors

Dong-Qing Wei, Yilong Ma, William C.S. Cho, Qin Xu, Fengfeng Zhou

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Bachelor 3 27%
Other 1 9%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 45%
Agricultural and Biological Sciences 3 27%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Engineering 1 9%
Unknown 1 9%