Bioinformatics in Agriculture: Next Generation Sequencing Era

Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume that explores the practical application of genomics to improve agricultural crops. It covers bioinformatics, NGS, omics, data mining, and artificial intelligence, providing insights from experts worldwide. The book is designed for advanced undergraduate students, researchers, and scientists interested in bioinformatics.

Format: Paperback / softback
Length: 706 pages
Publication date: 26 April 2022
Publisher: Elsevier Science & Technology

Bioinformatics in Agriculture: The Next Generation Sequencing Era is a comprehensive and in-depth exploration of the practical application of genomics to enhance agricultural crops. This book delves into both the theoretical and applied aspects of computational biology, emphasizing the innovation processes involved. It highlights the significant increase in productivity that can be achieved through a translational approach. Presented in four sections, the book features insights from esteemed experts from around the globe. These sections cover key topics such as bioinformatics and next-generation sequencing technologies, omics applications, data mining and marker discovery, and artificial intelligence and agribots.

Section I: Bioinformatics and Next Generation Sequencing Technologies provides an introduction to the foundational concepts and technologies associated with next-generation sequencing (NGS). It explores techniques such as deep sequencing, genomic, transcriptome analysis, and multiplexing, highlighting methods for efficiently reducing time, cost, and effort in analyzing gene pools and sequencing them. Readers will gain valuable real-world knowledge on computational biology, genomics, applied data mining, machine learning, and artificial intelligence.

Section II: Omics Application delves into the wide-ranging applications of omics technologies in agriculture. It discusses the use of various omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, to study crop biology, genetics, and environmental responses. Readers will gain insights into how these technologies can be utilized to identify genetic variations, gene expression patterns, protein interactions, and metabolic pathways that contribute to crop improvement.

Section III: Data mining and Marker Discovery focuses on the extraction of valuable information from large datasets using data mining and marker discovery techniques. It explores methods such as statistical analysis, machine learning, and bioinformatics tools to identify genetic markers and predict crop traits. Readers will learn how these techniques can be used to optimize breeding programs, develop precision agriculture practices, and identify potential crop diseases.

Section IV: Artificial Intelligence and Agribots explores the integration of artificial intelligence (AI) and robotics in agriculture. It discusses the use of AI algorithms, machine learning models, and robotic systems to automate various agricultural tasks, such as crop monitoring, irrigation, fertilization, and pest management. Readers will gain an understanding of how AI and robotics can improve efficiency, reduce labor costs, and enhance crop yields.

In conclusion, Bioinformatics in Agriculture: The Next Generation Sequencing Era is a valuable resource for advanced undergraduate students, researchers, and scientists interested in bioinformatics. It provides a comprehensive and up-to-date overview of the practical application of genomics to improve agricultural crops. With its extensive coverage of key topics, insights from global experts, and real-world examples, this book serves as a complete package for those seeking to advance their knowledge and expertise in this field.

Weight: 1876g
Dimension: 214 x 274 x 45 (mm)
ISBN-13: 9780323897785