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Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches

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Cover of 'Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches'

Table of Contents

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    Book Overview
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    Chapter 1 Expression Analysis and Genome Annotations with RNA Sequencing
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    Chapter 2 The Application of Next Generation Sequencing Techniques to Plant Epigenomics
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    Chapter 3 Whole Genome Sequencing to Identify Genes and QTL in Rice
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    Chapter 4 Variant Calling Using NGS Data in European Aspen (Populus tremula)
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    Chapter 5 Leafy Spurge Genomics: A Model Perennial Weed to Investigate Development, Stress Responses, and Invasiveness
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    Chapter 6 Utilization of NGS and Proteomic-Based Approaches to Gain Insights on Cellular Responses to Singlet Oxygen and Improve Energy Yields for Bacterial Stress Adaptation
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    Chapter 7 Experimental Evolution and Next Generation Sequencing Illuminate the Evolutionary Trajectories of Microbes
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    Chapter 8 Plant Carbohydrate Active Enzyme (CAZyme) Repertoires: A Comparative Study
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    Chapter 9 Metagenomics of Plant–Microbe Interactions
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    Chapter 10 Genes and Trans-Factors Underlying Embryogenic Transition in Plant Soma-Cells
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    Chapter 11 Bioinformatics Tools to Analyze Proteome and Genome Data
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    Chapter 12 High-Throughput Transcriptome Analysis of Plant Stress Responses
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    Chapter 13 CNV and Structural Variation in Plants: Prospects of NGS Approaches
Attention for Chapter 3: Whole Genome Sequencing to Identify Genes and QTL in Rice
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Chapter title
Whole Genome Sequencing to Identify Genes and QTL in Rice
Chapter number 3
Book title
Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches
Published by
Springer International Publishing, September 2015
DOI 10.1007/978-3-319-17157-9_3
Book ISBNs
978-3-31-917156-2, 978-3-31-917157-9
Authors

Ryohei Terauchi, Akira Abe, Hiroki Takagi, Muluneh Tamiru, Rym Fekih, Satoshi Natsume, Hiroki Yaegashi, Shunichi Kosugi, Hiroyuki Kanzaki, Hideo Matsumura, Hiromasa Saitoh, Kentaro Yoshida, Liliana Cano, Sophien Kamoun, Ryohei Terauchi Ph.D., Akira Abe Ph.D., Hiroki Takagi Ph.D., Muluneh Tamiru Ph.D., Rym Fekih Ph.D., Shunichi Kosugi Ph.D., Hiroyuki Kanzaki Ph.D., Hideo Matsumura Ph.D., Hiromasa Saitoh Ph.D., Kentaro Yoshida Ph.D., Liliana Cano Ph.D., Sophien Kamoun Ph.D., Terauchi, Ryohei, Abe, Akira, Takagi, Hiroki, Tamiru, Muluneh, Fekih, Rym, Natsume, Satoshi, Yaegashi, Hiroki, Kosugi, Shunichi, Kanzaki, Hiroyuki, Matsumura, Hideo, Saitoh, Hiromasa, Yoshida, Kentaro, Cano, Liliana, Kamoun, Sophien

Editors

Gaurav Sablok, Sunil Kumar, Saneyoshi Ueno, Jimmy Kuo, Claudio Varotto

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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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Student > Doctoral Student 2 14%
Student > Postgraduate 1 7%
Researcher 1 7%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 71%
Unknown 4 29%

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