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Quantitative Biosciences Companion In Python
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Book Synopsis Quantitative Biosciences Companion in Python by : Joshua S. Weitz
Download or read book Quantitative Biosciences Companion in Python written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB
Book Synopsis Quantitative Biosciences Companion in R by : Joshua S. Weitz
Download or read book Quantitative Biosciences Companion in R written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and MATLAB
Book Synopsis Quantitative Biosciences Companion in MATLAB by : Joshua S. Weitz
Download or read book Quantitative Biosciences Companion in MATLAB written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and R
Book Synopsis Quantitative Biosciences by : Joshua S. Weitz
Download or read book Quantitative Biosciences written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-03-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on approach to quantitative reasoning in the life sciences Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students--whether from the life sciences, physics, computational sciences, engineering, or mathematics--how to reason quantitatively about living systems given uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Stand-alone lab guides available in Python, R, and MATLAB help students move from learning in the classroom to doing research in practice Homework exercises build on the lab guides, emphasizing computational model development and analysis rather than pencil-and-paper derivations Suitable for capstone undergraduate classes, foundational graduate classes, or as part of interdisciplinary courses for students from quantitative backgrounds Can be used as part of conventional, flipped, or hybrid instruction formats Additional materials available to instructors, including lesson plans and homework solutions
Book Synopsis Quantitative Biosciences Companion in MATLAB by : Joshua S. Weitz
Download or read book Quantitative Biosciences Companion in MATLAB written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and R
Book Synopsis Quantitative Biosciences Companion in R by : Joshua S. Weitz
Download or read book Quantitative Biosciences Companion in R written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-03-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and MATLAB
Book Synopsis Python Programming for Biology by : Tim J. Stevens
Download or read book Python Programming for Biology written by Tim J. Stevens and published by Cambridge University Press. This book was released on 2015-02-12 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.
Book Synopsis Managing Your Biological Data with Python by : Allegra Via
Download or read book Managing Your Biological Data with Python written by Allegra Via and published by CRC Press. This book was released on 2014-03-18 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how
Book Synopsis So Simple a Beginning by : Raghuveer Parthasarathy
Download or read book So Simple a Beginning written by Raghuveer Parthasarathy and published by Princeton University Press. This book was released on 2022-02-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A biophysicist reveals the hidden unity behind nature’s breathtaking complexity The form and function of a sprinting cheetah are quite unlike those of a rooted tree. A human being is very different from a bacterium or a zebra. The living world is a realm of dazzling variety, yet a shared set of physical principles shapes the forms and behaviors of every creature in it. So Simple a Beginning shows how the emerging new science of biophysics is transforming our understanding of life on Earth and enabling potentially lifesaving but controversial technologies such as gene editing, artificial organ growth, and ecosystem engineering. Raghuveer Parthasarathy explains how four basic principles—self-assembly, regulatory circuits, predictable randomness, and scaling—shape the machinery of life on scales ranging from microscopic molecules to gigantic elephants. He describes how biophysics is helping to unlock the secrets of a host of natural phenomena, such as how your limbs know to form at the proper places, and why humans need lungs but ants do not. Parthasarathy explores how the cutting-edge biotechnologies of tomorrow could enable us to alter living things in ways both subtle and profound. Featuring dozens of original watercolors and drawings by the author, this sweeping tour of biophysics offers astonishing new perspectives on how the wonders of life can arise from so simple a beginning.
Book Synopsis Quantitative Methods with Python by : Abhinandan H Patil
Download or read book Quantitative Methods with Python written by Abhinandan H Patil and published by . This book was released on 2021-04-12 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: We touch few capabilities of Python Quantitative libraries/packages in this Book. There is a high probability that you will find some one has already documented their own experiences with python in the form of Books, Blogs or YouTube Video etc. Today the Scipy and Sympy user guides and Lecture notes combined is in excess of 5000 pages. That is enormous capability available to everyone to carry out their activity in Quantitative Field with Python. And it is growing by the day. It is these libraries that make Python so Rich!!
Book Synopsis Computing for Biologists by : Ran Libeskind-Hadas
Download or read book Computing for Biologists written by Ran Libeskind-Hadas and published by Cambridge University Press. This book was released on 2014-09-22 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches life science students how to use Python programming and computational problem-solving in the context of compelling biological applications.
Book Synopsis Introduction to Quantitative Social Science with Python by : Weiqi Zhang
Download or read book Introduction to Quantitative Social Science with Python written by Weiqi Zhang and published by . This book was released on 2024-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python.
Book Synopsis Computing for Biologists by : Ran Libeskind-Hadas
Download or read book Computing for Biologists written by Ran Libeskind-Hadas and published by . This book was released on 2014 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by numerous programming exercises, available at www.cs.hmc.edu/CFB.
Book Synopsis Python for Bioinformatics by : Sebastian Bassi
Download or read book Python for Bioinformatics written by Sebastian Bassi and published by Chapman & Hall/CRC. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. The book focuses on the easy-to-use, yet powerful, Python 3 computer language and explores NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.
Book Synopsis Nano Comes to Life by : Sonia Contera
Download or read book Nano Comes to Life written by Sonia Contera and published by Princeton University Press. This book was released on 2021-11-16 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Increasingly, scientists are gaining control over matter at the nanometer scale. Spearheaded by physical scientists operating at the interfaces of physics and biology (such as the author herself), advances in nanoscience and technology are transforming how we think about life and treat human health. This is due to a convergence of size. To do medicine, one must understand and be able to reach the nanoscale environment of healthy cells in tissues and organs, as well as other nano-sized building blocks that constitute a living organism, such as proteins and DNA. The ground-breaking advances being made at the frontiers of nanoscience and -technology, specifically in the areas of biology and medicine, are the subject of this short, popular-level book. Chapter 1 describes how nanotechnology and quantitative methods in biology are progressively being deployed to embrace life in all its multiscale, hierarchical intricacy and multiplicity. Chapters 2 through 4 review how bioinspired and biomimetic nanostructures and nanomachines are being created and integrated into strategies aimed at solving specific medical problems. In particular, Chapter 2 summarizes how scientists are seeking to build artificial nanostructures using both biological molecules and the organizational principles of biology. Chapter 3 gives an account of how nanotechnology is being used to develop drug-delivery strategies that specifically target cancer cells and tumors to improve the efficacy of current cancer chemotherapies. Chapter 4 reviews the science of one of the most potentially transformative scientific fields: tissue engineering. In a concluding chapter (Chapter 5), Contera reviews how nanotechnology, biology, and medicine will continue fusing with other sciences and technologies - incorporating more mathematical and computational modelling, as well as AI and robotics. Nanoscale devices will be used to learn biology; and biology will be used to inspire increasingly sophisticated "transmaterial" devices that mimic some of the characteristics of biology and incorporate new features that are not available in the biological world. The effects on human health and longevity will be profound. In a more personal epilogue, Contera describes the crossroads at which we find ourselves. Accessing our own biology evokes a mixture of possibility and dread. However, Contera maintains that we can create a positive transmaterial world for the benefit of humankind, and she describes ways in which scientists are proactively engaging with the public, politicians, industry, and entrepreneurs, as well as the media and the arts, to communicate the power and risks of new advances and to influence the ways in which new technologies will affect our future"--
Book Synopsis Solid Biomechanics by : Roland Ennos
Download or read book Solid Biomechanics written by Roland Ennos and published by Princeton University Press. This book was released on 2012 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a review of the biomechanical design of organisms, from bacteria onwards, this book shows how the bodies of animals & plants are masterpieces of engineering, enabling them to survive in a hostile world.
Download or read book Biophysics written by William Bialek and published by Princeton University Press. This book was released on 2012-12-17 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: A physicist's guide to the phenomena of life Interactions between the fields of physics and biology reach back over a century, and some of the most significant developments in biology—from the discovery of DNA's structure to imaging of the human brain—have involved collaboration across this disciplinary boundary. For a new generation of physicists, the phenomena of life pose exciting challenges to physics itself, and biophysics has emerged as an important subfield of this discipline. Here, William Bialek provides the first graduate-level introduction to biophysics aimed at physics students. Bialek begins by exploring how photon counting in vision offers important lessons about the opportunities for quantitative, physics-style experiments on diverse biological phenomena. He draws from these lessons three general physical principles—the importance of noise, the need to understand the extraordinary performance of living systems without appealing to finely tuned parameters, and the critical role of the representation and flow of information in the business of life. Bialek then applies these principles to a broad range of phenomena, including the control of gene expression, perception and memory, protein folding, the mechanics of the inner ear, the dynamics of biochemical reactions, and pattern formation in developing embryos. Featuring numerous problems and exercises throughout, Biophysics emphasizes the unifying power of abstract physical principles to motivate new and novel experiments on biological systems. Covers a range of biological phenomena from the physicist's perspective Features 200 problems Draws on statistical mechanics, quantum mechanics, and related mathematical concepts Includes an annotated bibliography and detailed appendixes
