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The mechanisms underlying endurance and adaptation to environmental stress factors in plants have long been the focus of intense research. Plants overcome environmental stresses by development of tolerance, resistance or avoidance mechanisms, adjusting to a gradual change in its environment which allows them to maintain performance across a range of adverse environmental conditions. Plant Acclimation to Environmental Stress presents the latest ideas and trends on induced acclimation of plants to environmental stresses under changing environment. Written by experts around the globe, this volume adds new dimensions in the field of plant acclimation to abiotic stress factors. Comprehensive and lavishly illustrated, Plant Acclimation to Environmental Stress is a state-of-the-art guide suited for scholars and researchers working in the field of crop improvement, genetic engineering and abiotic stress tolerance.
Sets forth an important group of environmentally friendly organic reactions With contributions from leading international experts in organic synthesis, this book presents all the most important methodologies for stereoselective organocatalysis, fully examining both the activation mode as well as the type of bond formed. Clear explanations guide researchers through all the most important methods used to form key chemical bonds, including carbon-carbon (C–C), carbon-nitrogen (C–N), and carbon-halogen (C–X) bonds. Moreover, readers will discover how the use of non-metallic catalysts facilitates a broad range of important reactions that are environmentally friendly and fully meet the stand...
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and ...
As someone who has spent nearly half his life wondering about the relationship between Helicobacter and gastric cancer, I find this textbook on the subject exciting and timely. In fact, I am not aware of any other volume that has been able to distil so much new knowledge into such a comprehensive account of a poorly understood field. Taking my own view, as a scientist placed in the middle of the spectrum between basic science and clinical medicine, I can see that the editors, Jim Fox, Andy Giraud, and Timothy Wang, provide a broad mix of expertise, which ensures that the subject is treated with the right balance. From clinicopathologic observations in humans, to epidemiology, through animal ...
The Human Genome Project has spawned a Renaissance of research faced with the daunting expectation of personalized medicine for individuals with sickle cell disease in the Genome Era. This book offers a comprehensive and timeless account of emerging concepts in clinical and basic science research, and community concerns of health disparity to educate professionals, students and the general public about meeting this challenging expectation. Contributions from physicians, research scientists, scientific administrators and community workers make Renaissance of Sickle Cell Disease Research in the Genome Era unique among the catalogue of books on this genetic disorder.Part 1 offers detailed revie...
In many fields, most notably medicine and molecular biology, the understanding of the structure and function of carbohydrates and glycoconjugates remains vital. This new volume contains critical reviews covering the latest findings in both chemical and biological sciences, and demonstrates the interdisciplinary nature of modern carbohydrate research. This book addresses diverse applications that continue to be major challenges for carbohydrate chemists. The book starts with a review of Gérard Descotes contribution to the field as a pioneer of French modern carbohydrate chemistry. Green nanocatalytic oxidation of free sugars, photosensitive glycomacrocycles, the application of disaccharides in supramolecular chemistry, recent advances in the radiation chemistry of polysaccharides, and the cell wall pectic rhamnogalacturonan II, an enigma in plant glycobiology are just some of the diverse topics presented in Volume 45. This set of reports will certainly benefit any researcher who wishes to learn about the latest developments in the carbohydrate field.
Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.
This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.