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
This book illustrates the importance and significance of bioinformatics in the field of agriculture.
... ofa major Fusarium head blight resistance QTL in tetraploid wheat,” Molecular Breeding, vol. 19, no. 2, pp. 113–124, 2007. ... “Genetic analysis of scab resistance QTL in wheat with microsatellite and AFLP markers,” Genome, vol.
We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.
The present book Agriculture Bioinformatics is a compilation of 17 information packed s authored by working scientists in the respective discipline.
This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers.
Efforts were given to make this book in a simplified way for well understanding and to make very useful for the students, scientists and professionals engaged in research and development of bioinformatics education.
We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.
Bioinformatics is the application of information technology to manage biological data that helps in decoding plant & animal genomes.
Plant genomics is a potentially powerful defense against this looming threat. This compendium volume offers a global perspective on the topic, with contributions from 42 eminent researchers from 12 nations around the world.
“High-Throughput Genotyping for Cereal Research and Breeding,” in Applications of Genetic and Genomic Research in Cereals (Woodhead Publishing), 3–17. Gower, J. C. (1971). A general coefficient of similarity and some of its properties.