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Basic Biology: An Introduction takes the reader through the basic information about life on Earth using easy-to-follow language. The book introduces readers to topics such as genetics, cells, evolution, basic biochemistry, the broad categories of organisms, plants, animals, and taxonomy.
This book provides an overview of skeletal biology from the molecular level to the organ level, including cellular control, interaction and response; adaptive responses to various external stimuli; the interaction of the skeletal system with other metabolic processes in the body; and the effect of various disease processes on the skeleton. The book also includes chapters that address how the skeleton can be evaluated through the use of various imaging technologies, biomechanical testing, histomorphometric analysis, and the use of genetically modified animal models. - Presents an in-depth overview of skeletal biology from the molecular to the organ level - Offers "refresher" level content for clinicians or researchers outside their areas of expertise - Boasts editors and many chapter authors from Indiana and Purdue Universities, two of the broadest and deepest programs in skeletal biology in the US; other chapter authors include clinician scientists from pharmaceutical companies that apply the basics of bone biology
Black & white print. Concepts of Biology is designed for the typical introductory biology course for nonmajors, covering standard scope and sequence requirements. The text includes interesting applications and conveys the major themes of biology, with content that is meaningful and easy to understand. The book is designed to demonstrate biology concepts and to promote scientific literacy.
An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research. The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis. The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. This textbook offers an introduction to the theory, methods, and tools of quantitative biology. The book first introduces the foundations of biological modeling, focusing on some of the most widely used formalisms. It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods. Most chapters offer problems, progressing from simple to complex, that test the reader's mastery of such key techniques as deterministic and stochastic simulations and data analysis. Many chapters include snippets of code that can be used to recreate analyses and generate figures related to the text. Examples are presented in the three popular computing languages: Matlab, R, and Python. A variety of online resources supplement the the text. The editors are long-time organizers of the Annual q-bio Summer School, which was founded in 2007. Through the school, the editors have helped to train more than 400 visiting students in Los Alamos, NM, Santa Fe, NM, San Diego, CA, Albuquerque, NM, and Fort Collins, CO. This book is inspired by the school's curricula, and most of the contributors have participated in the school as students, lecturers, or both. Contributors John H. Abel, Roberto Bertolusso, Daniela Besozzi, Michael L. Blinov, Clive G. Bowsher, Fiona A. Chandra, Paolo Cazzaniga, Bryan C. Daniels, Bernie J. Daigle, Jr., Maciej Dobrzynski, Jonathan P. Doye, Brian Drawert, Sean Fancer, Gareth W. Fearnley, Dirk Fey, Zachary Fox, Ramon Grima, Andreas Hellander, Stefan Hellander, David Hofmann, Damian Hernandez, William S. Hlavacek, Jianjun Huang, Tomasz Jetka, Dongya Jia, Mohit Kumar Jolly, Boris N. Kholodenko, Markek Kimmel, Michał Komorowski, Ganhui Lan, Heeseob Lee, Herbert Levine, Leslie M Loew, Jason G. Lomnitz, Ard A. Louis, Grant Lythe, Carmen Molina-París, Ion I. Moraru, Andrew Mugler, Brian Munsky, Joe Natale, Ilya Nemenman, Karol Nienałtowski, Marco S. Nobile, Maria Nowicka, Sarah Olson, Alan S. Perelson, Linda R. Petzold, Sreenivasan Ponnambalam, Arya Pourzanjani, Ruy M. Ribeiro, William Raymond, William Raymond, Herbert M. Sauro, Michael A. Savageau, Abhyudai Singh, James C. Schaff, Boris M. Slepchenko, Thomas R. Sokolowski, Petr Šulc, Andrea Tangherloni, Pieter Rein ten Wolde, Philipp Thomas, Karen Tkach Tuzman, Lev S. Tsimring, Dan Vasilescu, Margaritis Voliotis, Lisa Weber
This self-contained introduction to the fast-growing field of Mathematical Biology is written for students with a mathematical background. It sets the subject in a historical context and guides the reader towards questions of current research interest. A broad range of topics is covered including: Population dynamics, Infectious diseases, Population genetics and evolution, Dispersal, Molecular and cellular biology, Pattern formation, and Cancer modelling. Particular attention is paid to situations where the simple assumptions of homogenity made in early models break down and the process of mathematical modelling is seen in action.
The ultimate guide to understanding biology Have you ever wondered how the food you eat becomes the energy your body needs to keep going? The theory of evolution says that humans and chimps descended from a common ancestor, but does it tell us how and why? We humans are insatiably curious creatures who can't help wondering how things work—starting with our own bodies. Wouldn't it be great to have a single source of quick answers to all our questions about how living things work? Now there is. From molecules to animals, cells to ecosystems, Biology For Dummies answers all your questions about how living things work. Written in plain English and packed with dozens of enlightening illustrations, this reference guide covers the most recent developments and discoveries in evolutionary, reproductive, and ecological biology. It's also complemented with lots of practical, up-to-date examples to bring the information to life. Discover how living things work Think like a biologist and use scientific methods Understand lifecycle processes Whether you're enrolled in a biology class or just want to know more about this fascinating and ever-evolving field of study, Biology For Dummies will help you unlock the mysteries of how life works.
This textbook helps you to prepare for both your next exams and practical courses by combining theory with virtual lab simulations. With the “Labster Virtual Lab Experiments” book series you have the unique opportunity to apply your newly acquired knowledge in an interactive learning game that simulates common laboratory experiments. Try out different techniques and work with machines that you otherwise wouldn’t have access to. In this volume on “Basic Biology” you will learn how to work in a biological laboratory and the fundamental theoretical concepts of the following topics: Lab Safety Mitosis Meiosis Cellular Respiration Protein Synthesis In each chapter, you will be introduced to the basic knowledge as well as one virtual lab simulation with a true-to-life challenge. Following a theory section, you will be able to play the corresponding simulation. Each simulation includes quiz questions to reinforce your understanding of the covered topics. 3D animations will show you molecular processes not otherwise visible to the human eye. If you have purchased a printed copy of this book, you get free access to five simulations for the duration of six months. If you’re using the e-book version, you can sign up and buy access to the simulations at www.labster.com/springer. If you like this book, try out other topics in this series, including “Basic Genetcis”, “Basic Biochemistry”, and “Genetics of Human Diseases”. Please note that the simulations included in the book are not virtual reality (VR) but 2D virtual experiments.