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Essentials of Bioinformatics, Volume II

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Cover of 'Essentials of Bioinformatics, Volume II'

Table of Contents

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    Book Overview
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    Chapter 1 Driving Forces of Bioinformatics
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    Chapter 2 Genetic Association from RFLPs to Millions of Variant Markers: Unravelling the Genetic Complexity of Diseases
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    Chapter 3 Diagnostic Revolution Post-Human Genome Sequence Project: High-Throughput Technologies and Bioinformatics
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    Chapter 4 Genomic Revolution-Driven Cancer Research
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    Chapter 5 Chromosomal Microarray in the New High-Throughput Technological and Bioinformatic Era
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    Chapter 6 Finding a Needle in a Haystack: Variant Effect Predictor (VEP) Prioritizes Disease Causative Variants from Millions of Neutral Ones
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    Chapter 7 Clinical Strategies for Developing Next-Generation Cancer Precision Medicines
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    Chapter 8 Dental Stem Cells in Regenerative Medicine: Emerging Trends and Prospects in the Era of Bioinformatics
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    Chapter 9 Multiple Analyte Profiling (xMAP) Technology Coupled with Functional Bioinformatics Strategies: Potential Applications in Protein Biomarker Profiling in Autoimmune Inflammatory Diseases
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    Chapter 10 Design and Development of Small Molecules from Somatic, Stem Cell Reprogramming, and Therapy
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    Chapter 11 Molecular Modeling and Drug Design Techniques in Microbial Drug Discovery
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    Chapter 12 Combinatorial Designing of Novel Lead Molecules Towards the Putative Drug Targets of Extreme Drug-Resistant Mycobacterium tuberculosis : A Future Insight for Molecular Medicine
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    Chapter 13 Understanding the Regulatory Features of Co-regulated Genes Using Di stant R egulatory E lements (DiRE) Genomic Tool in Health and Disease
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Essentials of Bioinformatics, Volume II
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-18375-2
978-3-03-018374-5, 978-3-03-018375-2

Shaik, Noor Ahmad, Hakeem, Khalid Rehman, Banaganapalli, Babajan, Elango, Ramu

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Doctoral Student 2 12%
Other 2 12%
Student > Ph. D. Student 2 12%
Researcher 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Agricultural and Biological Sciences 2 12%
Medicine and Dentistry 2 12%
Veterinary Science and Veterinary Medicine 1 6%
Computer Science 1 6%
Other 2 12%
Unknown 5 29%