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Agricultural Bioinformatics

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Cover of 'Agricultural Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Association Mapping: A New Paradigm for Dissection of Complex Traits in Crops
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    Chapter 2 The Silent Assassins: Informatics of Plant Viral Silencing Suppressors
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    Chapter 3 Tackling the Heat-Stress Tolerance in Crop Plants: A Bioinformatics Approach
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    Chapter 4 Comparative Genomics of Cereal Crops: Status and Future Prospects
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    Chapter 5 A Comprehensive Overview on Application of Bioinformatics and Computational Statistics in Rice Genomics Toward an Amalgamated Approach for Improving Acquaintance Base
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    Chapter 6 Contribution of Bioinformatics to Gene Discovery in Salt Stress Responses in Plants
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    Chapter 7 Agricultural Bioinformatics
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    Chapter 8 Plant MicroRNAs: An Overview
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    Chapter 9 ESTs in Plants: Where Are We Heading?
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    Chapter 10 Bioinformatics Strategies Associated with Important Ethnic Medicinal Plants
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    Chapter 11 Mining Knowledge from Omics Data
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    Chapter 12 Cloud Computing in Agriculture
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    Chapter 13 Bioinformatic Tools in the Analysis of Determinants of Pathogenicity and Ecology of Entomopathogenic Fungi Used as Microbial Insecticides in Crop Protection
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    Chapter 14 Exploring the Genomes of Symbiotic Diazotrophs with Relevance to Biological Nitrogen Fixation
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    Chapter 15 Plant-Microbial Interaction: A Dialogue Between Two Dynamic Bioentities
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    Chapter 16 Machine Learning with Special Emphasis on Support Vector Machines (SVMs) in Systems Biology: A Plant Perspective
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    Chapter 17 Xanthine Derivatives: A Molecular Modeling Perspective
Attention for Chapter 7: Agricultural Bioinformatics
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Chapter title
Agricultural Bioinformatics
Chapter number 7
Book title
Agricultural Bioinformatics
Published by
Springer, New Delhi, March 2014
DOI 10.1007/978-81-322-1880-7_7
Book ISBNs
978-8-13-221879-1, 978-8-13-221880-7
Authors

Venkatesh Kandula, Virginia A. Gottschalk, Ramesh Katam, Roja Rani Anupalli

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The data shown below were collected from the profiles of 10 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Immunology and Microbiology 1 50%
Unknown 1 50%