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Plant Bioinformatics

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Cover of 'Plant Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Plant Bioinformatics: Next Generation Sequencing Approaches
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    Chapter 2 Systems-Based Approach to the Analyses of Plant Functions: Conceptual Understanding, Implementation, and Analysis
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    Chapter 3 Bioinformatics Tools Make Plant Functional Genomics Studies Easy
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    Chapter 4 Functional Genomic Approaches in Plant Research: Challenges and Perspectives
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    Chapter 5 Bioinformatics Database Resources for Plant Transcription Factors
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    Chapter 6 A New Proposed Model for Plant Diseases Monitoring Based on Data Mining Techniques
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    Chapter 7 Bioinformatics in Agriculture: Translating Alphabets for Transformation in the Field
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    Chapter 8 Functional Genomic Approaches in Plant Research
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    Chapter 9 Concept, Development, and Application of Computational Methods for the Analysis and Integration of Omics Data
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    Chapter 10 Genomic Data Resources and Data Mining
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    Chapter 11 Decoding the Plastid Genome
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    Chapter 12 Discovery and Role of Molecular Markers Involved in Gene Mapping, Molecular Breeding, and Genetic Diversity
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    Chapter 13 Deciphering the Effects of Microbiome on Plants Using Computational Methods
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    Chapter 14 Application of Bioinformatics in Understanding of Plant Stress Tolerance
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    Chapter 15 Application of Bioinformatics and System Biology in Medicinal Plant Studies
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    Chapter 16 Holistic Approach to Traditional and Herbal Medicines: The Role of Omics, Systems Biology, and Computational Technologies
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    Chapter 17 How the ER Stress Protein Calreticulins Differ from Each Other in Plants?
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    Chapter 18 An Engineering Approach to Bioinformatics and Its Applications
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    Chapter 19 Erratum to: Plant Bioinformatics: Decoding the Phyta
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Title
Plant Bioinformatics
Published by
Springer, Cham, December 2017
DOI 10.1007/978-3-319-67156-7
ISBNs
978-3-31-967155-0, 978-3-31-967156-7
Editors

Khalid Rehman Hakeem, Adeel Malik, Fazilet Vardar-Sukan, Munir Ozturk

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X Demographics

The data shown below were collected from the profile of 1 X user 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Researcher 5 13%
Student > Bachelor 5 13%
Student > Master 4 11%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 12 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Business, Management and Accounting 1 3%
Other 6 16%
Unknown 13 34%