Bioinformatics in Agriculture

Next Generation Sequencing Era

Pradeep Sharma, Dinesh Yadav, R.K. Gaur

• Publisher: Academic Press
• Year: 2022
• Print ISBN:
  9780323897785
• eBook ISBN:
  9780323885997
• Topic: Technology & Engineering
• Subtopic: Biochemistry
• Index: Technology & Engineering

Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume presenting an integrated research and development approach to the practical application of genomics to improve agricultural crops. Exploring both the theoretical and applied aspects of computational biology, and focusing on the innovation processes, the book highlights the increased productivity of a translational approach. Presented in four sections and including insights from experts from around the world, the book includes: Section I: Bioinformatics and Next Generation Sequencing Technologies; Section II: Omics Application; Section III: Data mining and Markers Discovery; Section IV: Artificial Intelligence and Agribots. Bioinformatics in Agriculture: Next Generation Sequencing Era explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, highlighting practices forreducing time, cost, and effort for the analysis of gene as they are pooled, and sequenced. Readers will gain real-world information on computational biology, genomics, applied data mining, machine learning, and artificial intelligence. This book serves as a complete package for advanced undergraduate students, researchers, and scientists with an interest in bioinformatics. - Discusses integral aspects of molecular biology and pivotal tool sfor molecular breeding - Enables breeders to design cost-effective and efficient breeding strategies - Provides examples ofinnovative genome-wide marker (SSR, SNP) discovery - Explores both the theoretical and practical aspects of computational biology with focus on innovation processes - Covers recent trends of bioinformatics and different tools and techniques

Table of contents

• Bioinformatics in Agriculture
• Cover
• Title Page
• Copyright
• Table of Contents
• List of Contributors
• About the Editors
• Foreword
• Preface
• Chapter 1 Advances in agricultural bioinformatics: an outlook of multi “omics” approaches
• Chapter 2 Promises and benefits of omics approaches to data-driven science industries
• Chapter 3 Bioinformatics intervention in functional genomics: current status and future perspective—an overview
• Chapter 4 Genome informatics: present status and future prospects in agriculture
• Chapter 5 Genomics and its role in crop improvement
• Chapter 6 Genome-wide predictions, structural and functional annotations of plant transcription factor gene families: a bioinformatics approach
• Chapter 7 Proteomics as a tool to understand the biology of agricultural crops
• Chapter 8 Metabolomics and sustainable agriculture: concepts, applications, and perspectives
• Chapter 9 Plant metabolomics: a new era in the advancement of agricultural research
• Chapter 10 Explore the RNA-sequencing and the next-generation sequencing in crops responding to abiotic stress
• Chapter 11 Identification of novel RNAs in plants with the help of next-generation sequencing technologies
• Chapter 12 Molecular evolution, three-dimensional structural characteristics, mechanism of action, and functions of plant beta-galactosidases
• Chapter 13 Next generation genomics: toward decoding domestication history of crops
• Chapter 14 In-silico identification of small RNAs: a tiny silent tool against agriculture pest
• Chapter 15 Bioinformatics-assisted multiomics approaches to improve the agronomic traits in cotton
• Chapter 16 Omics-assisted understanding of BPH resistance in rice: current updates and future prospective
• Chapter 17 Contemporary genomic approaches in modern agriculture for improving tomato varieties
• Chapter 18 Characterization of drought tolerance in maize: omics approaches
• Chapter 19 Deciphering the genomic hotspots in wheat for key breeding traits using comparative and structural genomics
• Chapter 20 Prospects of molecular markers for wheat improvement in postgenomic era
• Chapter 21 Omics approaches for biotic, abiotic, and quality traits improvement in potato (Solanum tuberosum L.)
• Chapter 22 Tea plant genome sequencing: prospect for crop improvement using genomics tools
• Chapter 23 Next-generation sequencing and viroid research
• Chapter 24 Computational analysis for plant virus analysis using next-generation sequencing
• Chapter 25 Microbial degradation of herbicides in contaminated soils by following computational approaches
• Chapter 26 Chloroplast genome and plant–virus interaction
• Chapter 27 Deciphering soil microbiota using metagenomic approach for sustainable agriculture: an overview
• Chapter 28 Concepts and applications of bioinformatics for sustainable agriculture
• Chapter 29 Application of high-throughput structural and functional genomic technologies in crop nutrition research
• Chapter 30 Bioinformatics approach for whole transcriptomics-based marker prediction in agricultural crops
• Chapter 31 Computational approaches toward single-nucleotide polymorphism discovery and its applications in plant breeding
• Chapter 32 Bioinformatics intervention in identification and development of molecular markers: an overview
• Chapter 33 Deciphering comparative and structural variation that regulates abiotic stress response
• Chapter 34 Deep Learning applied to computational biology and agricultural sciences
• Chapter 35 Image processing–based artificial intelligence system for rapid detection of plant diseases
• Chapter 36 Role of artificial intelligence, sensor technology, big data in agriculture: next-generation farming
• Chapter 37 Artificial intelligence: a way forward for agricultural sciences
• Index