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If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2. This book will teach you 'cooking from scratch', from raw data to beautiful illuminating output, as you learn to write your own scripts in the R language and to use advanced statistics packages from CRAN and Bioconductor. It covers a broad range of basic and advanced topics important in the analysis of high-throughput biological data, including principal component analysis and multidimensional scaling, clustering, multiple testing, unsupervised and supervised learning, resampling, the pitfalls of experimental design, and power simulations using Monte Carlo, and it even reaches networks, trees, spatial statistics, image data, and microbial ecology. Using a minimum of mathematical notation, it builds understanding from well-chosen examples, simulation, visualization, and above all hands-on interaction with data and code.
This book makes Moore's wisdom available to students in a lively, richly illustrated account of the history and workings of life. Employing rhetoric strategies including case histories, hypotheses and deductions, and chronological narrative, it provides both a cultural history of biology and an introduction to the procedures and values of science.
An established and successful textbook which provides a thorough and comprehensive basis for GCSE syllabuses. The social, environmental, and technological aspects of biology are discussed throughout the book and students are encouraged to explore topics in depth through investigational and experimental work. Simply worded text with clear explanations of important technical terms. Superb structural drawings and easy-to-copy diagrams which show students how to reduce complex information to a simple form. Questions at the end of each chapter designed to reinforce understanding.
Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources
Annelids offer a diversity of experimentally accessible features making them a rich experimental subject across the biological sciences, including evolutionary development, neurosciences and stem cell research. This volume introduces the Annelids and their utility in evolutionary developmental biology, neurobiology, and environmental/ecological studies, including extreme environments. The book demonstrates the variety of fields in which Annelids are already proving to be a useful experimental system. Describing the utility of Annelids as a research model, this book is an invaluable resource for all researchers in the field.
Epigenetics can potentially revolutionize our understanding of the structure and behavior of biological life on Earth. It explains why mapping an organism's genetic code is not enough to determine how it develops or acts and shows how nurture combines with nature to engineer biological diversity. Surveying the twenty-year history of the field while also highlighting its latest findings and innovations, this volume provides a readily understandable introduction to the foundations of epigenetics. Nessa Carey, a leading epigenetics researcher, connects the field's arguments to such diverse phenomena as how ants and queen bees control their colonies; why tortoiseshell cats are always female; why some plants need cold weather before they can flower; and how our bodies age and develop disease. Reaching beyond biology, epigenetics now informs work on drug addiction, the long-term effects of famine, and the physical and psychological consequences of childhood trauma. Carey concludes with a discussion of the future directions for this research and its ability to improve human health and well-being.
The Social Meaning of Modern Biology analyzes the cultural significance of recurring attempts since the time of Darwin to extract social and moral guidance from the teachings of modern biology. Such efforts are often dismissed as ideological defenses of the social status quo, of the sort wrongly associated with nineteenth-century social Darwinism. Howard Kaye argues they are more properly viewed as culturally radical attempts to redefine who we are by nature and thus rethink how we should live. Despite the scientific and philosophical weaknesses of arguments that "biology is destiny," and their dehumanizing potential, in recent years they have proven to be powerfully attractive. They will continue to be so in an age enthralled by genetic explanations of human experience and excited by the prospect of its biological control.In the ten years since the original edition of The Social Meaning of Modern Biology was published, changes in both science and society have altered the terms of debate over the nature of man and human culture. Kaye's epilogue thoroughly examines these changes. He discusses the remarkable growth of ethology and sociobiology in their study of animal and human behavior and the stunning progress achieved in neuropsychology and behavioral genetics. These developments may appear to bring us closer to long-sought explanations of our physical, mental, and behavioral "machinery." Yet, as Kaye demonstrates, attempts to use such explanations to unify the natural and social sciences are mired in self-contradictory accounts of human freedom and moral choice. The Social Meaning of Modern Biology remains a significant study in the field of sociobiology and is essential reading for sociologists, biologists, behavioral geneticists, and psychologists.
Change and necessity is a statement of Darwinian natural selection as a process driven by chance necessity, devoid of purpose or intent.