Related books on 'computational-biology'
Return to life science book listNumber of products: 7410
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by: Edda Klipp publisher: Wiley-VCH, published: 2009-08-12 ASIN: 3527318747 EAN: 9783527318742 sales rank: 190377 "... Boxed summaries at the start of each subchapter and examples illustrated throughout the book highlight the key points and provide clarity. Most chapters conclude with a short problem set, summarising the basic concepts and prompting further thought. This clear text is a useful starting point for anyone aspiring to solve a biological question using systems biology approaches." —Phenotype, 2010 Systems biology is a highly topical discipline at the intersection of biochemistry, cell biology, computer science, and systems engineering. This course book in systems biology is tailored to the needs of advanced students of biology, engineering, and computer science. It has a companion website with solutions to questions in the book, additional chapters, and computer implementations of systems biology models. The book is a follow-up of the very successful Systems Biology in Practice and incorporates the feedback and suggestions of many lecturers worldwide. The interdisciplinary team of acclaimed authors have worked closely together to ensure a comprehensive coverage of the topic in a fluent and compelling style. Further material is available on www.wiley-vch.de/home/systemsbiology Systems Biology in Practice - Praise from the reviews: "...this is one book that I bought for myself as soon as it was published." "This resource does an admirable job of bringing the readers to a level where they can pursue more advanced study and research." "… I am confident that biologists everywhere will benefit from having a copy to hand." |
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by: Bernhard Ø. Palsson publisher: Cambridge University Press, published: 2011-06-30 ASIN: 1107001595 EAN: 9781107001596 sales rank: 583623 Biophysical models have been used in biology for decades, but they have been limited in scope and size. In this book, Bernhard Ø. Palsson shows how network reconstructions that are based on genomic and bibliomic data, and take the form of established stoichiometric matrices, can be converted into dynamic models using metabolomic and fluxomic data. The Mass Action Stoichiometric Simulation (MASS) procedure can be used for any cellular process for which data is available and allows a scalable step-by-step approach to the practical construction of network models. Specifically, it can treat integrated processes that need explicit accounting of small molecules and protein, which allows simulation at the molecular level. The material has been class-tested by the author at both the undergraduate and graduate level. All computations in the text are available online in MATLAB and MATHEMATICA® workbooks, allowing hands-on practice with the material. |
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by: Lawrence E. Hunter publisher: The MIT Press, published: 2009-01-16 ASIN: 0262013053 EAN: 9780262013055 sales rank: 338216 A brief and accessible introduction to molecular biology for students and professionals who want to understand this rapidly expanding field. |
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by: Sebastian Bassi publisher: Chapman and Hall/CRC, published: 2009-09-30 ASIN: 1584889292 EAN: 9781584889298 sales rank: 373150 Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. The book begins with a very basic introduction that teaches the principles of programming. It then introduces the Biopython package, which can be useful in solving life science problems. The next section covers sophisticated tools for bioinformatics, including relational database management systems and XML. The last part illustrates applications with source code, such as sequence manipulation, filtering vector contamination, calculating DNA melting temperature, parsing a genbank file, inferring splicing sites, and more. The appendices provide a wealth of supplementary information, including instructions for installing Python and Biopython and a Python language and style guide. By incorporating examples in biology as well as code fragments throughout, the author places a special emphasis on practice, encouraging readers to experiment with the code. He shows how to use Python and the Biopython package for building web applications, genomic annotation, data manipulation, and countless other applications. |
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by: Paul Harrison publisher: Wiley, published: 2001-12-05 ASIN: 047149562X EAN: 9780471495628 sales rank: 3984706 Providing an accessible introduction to a range of modern computational techniques, this book is perfect for anyone with only a limited knowledge of physics. It leads readers through a series of examples, problems, and practical-based tasks covering the basics to more complex ideas and techniques. The focus is placed on the dynamic area of modern physics, helping readers understand the power and uses of computational physics. * Leads the reader from a basic introduction to more sophisticated techniques * Provides the skill-building exercises necessary to tackle more complex problems * Applies essential techniques to a wide range of key problems |
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by: Mourad Elloumi publisher: Wiley, published: 2011-02-02 ASIN: 0470505192 EAN: 9780470505199 sales rank: 1210155 This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study. |
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by: Michael Small publisher: Chapman and Hall/CRC, published: 2011-08-25 ASIN: 1439853363 EAN: 9781439853368 sales rank: 569972 From the spontaneous rapid firing of cortical neurons to the spatial diffusion of disease epidemics, biological systems exhibit rich dynamic behaviour over a vast range of time and space scales. Unifying many of these diverse phenomena, Dynamics of Biological Systems provides the computational and mathematical platform from which to understand the underlying processes of the phenomena. Through an extensive tour of various biological systems, the text introduces computational methods for simulating spatial diffusion processes in excitable media, such as the human heart, as well as mathematical tools for dealing with systems of nonlinear ordinary and partial differential equations, such as neuronal activation and disease diffusion. The mathematical models and computer simulations offer insight into the dynamics of temporal and spatial biological systems, including cardiac pacemakers, artificial electrical defibrillation, pandemics, pattern formation, flocking behaviour, the interaction of autonomous agents, and hierarchical and structured network topologies. Tools from complex systems and complex networks are also presented for dealing with real phenomenological systems. With exercises and projects in each chapter, this classroom-tested text shows students how to apply a variety of mathematical and computational techniques to model and analyze the temporal and spatial phenomena of biological systems. MATLAB® implementations of algorithms and case studies are available on the author’s website. |
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publisher: Springer, published: 2006-05-05 ASIN: 3540332952 EAN: 9783540332954 sales rank: 874722 This book constitutes the refereed proceedings of the 10th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2006, held in Venice, Italy in April 2006. The 40 revised full papers presented together with abstracts of 7 keynote talks were carefully reviewed and selected from 212 submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and experimental bioinformatics. |
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by: Eberhard O. Voit publisher: Cambridge University Press, published: 2000-09-04 ASIN: 0521785790 EAN: 9780521785792 sales rank: 1020236 A true understanding of genetic and metabolic function and design is facilitated by mathematical and computational methods for analyzing biochemical systems. This hands-on reference teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems requiring a modest mathematical background. The book begins with representations of biochemical systems, provides guidelines for setting up models, details mathematical and computational methods of parameter estimation and model analysis, and connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying PLAS software. The volume also features over 250 exercises with about one quarter fully or partially solved. |
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by: Peter Clote publisher: Wiley, published: 2000-09-22 ASIN: 0471872520 EAN: 9780471872528 sales rank: 1200541 Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields. |