Academic Press Bioinformatics in Agriculture: Next Generation Sequencing Era

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. Review Harnesses genomics technologies for genetic engineering and pathogen characterization and diagnosis From the Back Cover <i>Bioinformatics in Agriculture: Next Generation Sequencing </i>is a comprehensive volume presenting 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: <p>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 </p> <p><i>Bioinformatics in Agriculture </i>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 serves as complete package for advanced undergraduate students, researchers and scientists with an interest in bioinformatics.</p> About the Author Dr. Pradeep Sharma received his Ph.D. from HAU Hisar. For his PhD thesis, he worked on cloning and characterization of phyto- viruses. He performed his Post-Doctoral Research (2006-2008) at Tohoku University, Japan with Prof M Ikegami as JSPS fellow, where he worked on Genome sequencing and RNA silencing. Also, Postdoctoral work at the ARO Volcani Center, Israel with Prof Y Gafni (2005-2006) nuclear import of genes using yeast one hybrid system, DST Scientist (2006), Visiting Scientist at South Dakota State University (2011) for allele mining and comparative genomics in rice and Oklahoma State University (2016) on small non- coding RNAs. In 2008, Dr Sharma joined the faculty in the Division of Crop Imrovement at ICAR- Indian Institute of Wheat and Barley Research, Karnal, India where he is Principal Scientist. He directs a research group studying the role of sRNAs and epigenetics for biotic and abiotic stresses, Bioinformatics and NGS based marker discovery in wheat. His group also decoded Karnal bunt genomes, development of SSR markers for population structure and diversity analysis of bunts and smut fungi, genome-wide analysis of TFs, drought and heat responsive microRNAs and transcriptomics. He teaches courses in Molecular Biology and computatio