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Bioinformatics in Agriculture: Next Generation Sequencing presents an integrated research and development approach to the research and practical application of genomics to improve agricultural crops. Exploring both the theoretical and practical 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 sections on Bioinformatics and Next Generation Sequencing Technologies, Omics Applications, Data Mining and Markers Discovery, and Artificial Intelligence and Agribots.

The book explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, while reducing time, cost and effort for the analysis of gene as they are pooled and sequenced. Readers will gain practical application information on computational biology, genomics, applied data mining, machine learning and artificial intelligence. This book will serve as a complete package for advanced undergraduate students, researchers and scientists with an interest in bioinformatics.