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The author draws on a detailed knowledge of mutational mechanisms to argue that the randomness doctrine is best understood, not as a fact-based conclusion, but as the premise of a neo-Darwinian research program focused on selection.
An essential introduction to the philosophy of biology This is a concise, comprehensive, and accessible introduction to the philosophy of biology written by a leading authority on the subject. Geared to philosophers, biologists, and students of both, the book provides sophisticated and innovative coverage of the central topics and many of the latest developments in the field. Emphasizing connections between biological theories and other areas of philosophy, and carefully explaining both philosophical and biological terms, Peter Godfrey-Smith discusses the relation between philosophy and science; examines the role of laws, mechanistic explanation, and idealized models in biological theories; ...
Exploring the broad implications of evolutionary theorist Lynn Margulis’s work, this collection brings together specialists across a range of disciplines, from paleontology, molecular biology, evolutionary theory, and geobiology to developmental systems theory, archaeology, history of science, cultural science studies, and literature and science. Addressing the multiple themes that animated Margulis’s science, the essays within take up, variously, astrobiology and the origin of life, ecology and symbiosis from the microbial to the planetary scale, the coupled interactions of earthly environments and evolving life in Gaia theory and earth system science, and the connections of these newer...
This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results. Authoritative and practical, RNA Structure Prediction serves as a valuable guide for both experimental and computational RNA researchers.
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