This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice. Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice. Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.

ABNORMAL PSYCHOLOGY: AN INTEGRATIVE APPROACH, Sixth Edition, is the perfect book to help you succeed in your abnormal psychology course! Authors Barlow and Durand show you how psychological disorders are rooted in multiple factors: biological, psychological, cultural, social, familial, and even political. You can test your understanding of topics with the text's built-in concept checks and chapter quizzes. Then, watch the book's integrated case studies come to life with Abnormal Psychology CourseMate, which provides real case profiles to give you a realistic context for the scientific findings of the book.

Revised to reflect DSM-5, this briefer version of Durand and Barlow's widely used book fully describes abnormal psychology through the authors' standard-setting integrative approach--the most modern, scientifically valid method for studying the subject. Through this approach, readers learn that psychological disorders are rarely caused by a single influence, but rooted in the interaction among multiple factors: biological, psychological, cultural, social, familial, and even political. A conversational writing style, consistent pedagogy, and real case profiles--95 percent from the authors' own case files--provide a realistic context for the scientific findings of the book. In addition, these features ensure that readers never lose sight of the fact that real people are behind the DSM-5 criteria, the theories, and the research.

This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment. In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics. Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.