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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
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Title
Translational Bioinformatics and Its Application
Published by
Springer Netherlands, January 2017
DOI 10.1007/978-94-024-1045-7
ISBNs
978-9-40-241043-3, 978-9-40-241045-7
Editors

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

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The data shown below were collected from the profiles of 2 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 15 19%
Student > Doctoral Student 9 11%
Student > Master 7 9%
Student > Bachelor 4 5%
Other 16 20%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 44%
Biochemistry, Genetics and Molecular Biology 15 19%
Medicine and Dentistry 3 4%
Social Sciences 2 3%
Chemistry 2 3%
Other 9 11%
Unknown 13 16%