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The first edition of Medical Bioinformatics and Biochemistry (Diabormatics) explains how medical biochemistry and bioinformatics could be used as a tool for analyzing the research data related to disease diagnosis and treatment. Bioinformatics is an interdisciplinary approach that includes concepts of biotechnology, microbiology, molecular biology, medicine and forensic science. This book is based on the recent development in the research dynamics of medical bioinformatics, biochemistry and progress in these fields. The book provides reference material for students of medical and life sciences. The development in genomic sequencing and in silico biology has provided the data needed to accomplish comparisons of derived nucleotide and protein sequences. The results of analysis may be used to formulate and test hypotheses about biochemical function. This first edition provides readers with a practical guide covering the full scope of concepts in medical bioinformatics and biochemistry related to diabetes. The basic purpose of this book is for students of medical and life sciences to understand the research methods of biochemistry and bioinformatics. This includes storing, receiving, and analyzing data from databases using various in silico tools. This book is a useful source of knowledge for MBBS, B.Sc, M.Sc / M.D. / M.S. and Ph.D level students looking for an accessible introduction to the subject.
The book represents basic information about viral-caused and viral-like diseases in many weeds. Many scientific reports have demonstrated that weeds serve as a reservoir or alternative hosts for geminivirus genera (eg: Begomovirus) for survival and spread in the absence of main crops. This book represents a tip of the iceberg of the diversity of begomoviruses in weeds. The recognition that geminivirus strains are capable of rapidly diverging through multiple mechanisms, underscores the need for accurate molecularly based methods that permit detection and tracking of biologically significant variants. Molecular approaches must combine knowledge of biology, ecology and the ability to monitor both conserved sequences and specific sites, most likely to undergo alteration with phylogenetic predictions to facilitate accurate identification and tracking of begomovirus variants and to also recognise new or resurgent viruses. Establishing databases of baseline sequences for extant viruses will permit future comparisons in establishing and interpreting disease patterns and associated trends for vector populations. With the development of reliable computational recombination detection tools and an increasing number of available genome sequences, many studies have reported evidence of recombination in a wide range of virus genera. The book also focuses on the first geminivirus database (GVDB) that contains biotic, molecular and in silico information which will permit rapid and accurate begomovirus identification and the selection of relevant viral species for the development of disease resistance/management strategy to the geminiviruses specific to individual crop production areas. To close, there is one chapter on the international and national status of geminivirus infection in various host weeds. Furthermore, the book's heart discusses the most recent cutting-edge of research that makes this book essential reading for everyone, from researchers to scholars to students, working with molecular and computational aspects of geminivirus research as well as scientists already familiar with the area.