Related books on 'computational-biology'
Return to life science book listNumber of products: 7426
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by: Sorin Draghici publisher: CRC, published: 2010-06-15 ASIN: 1584884975 EAN: 9781584884972 sales rank: 11126909 Unlike most existing texts that either focus on algorithms or on teaching the user how to navigate through specific existing databases, Bioinformatics Databases: Design, Implementation, and Usage provides comprehensive coverage of all aspects of bioinformatics databases. This book presents database schemas, code, website links to various databases, and sample applications that connect to these databases. Additional topics include genomic databases, database design issues, integration of databases, as well as current data formats and standards. The text also addresses software design issues and offers practical examples of the design and implementation of bioinformatics databases and tools. |
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by: William W. Cohen publisher: Springer, published: 2007-06-25 ASIN: 038748275X EAN: 9780387482750 sales rank: 1251869 This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature. The author discusses what biologists are trying to determine from their experiments, how various experimental procedures are used and how they relate to accepted concepts in computer science, and the vocabulary necessary to read and understand current literature in biology. The book is an invaluable reference tool and an excellent starting point for a more comprehensive examination of cell biology. |
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by: Sorin Draghici publisher: Chapman and Hall/CRC, published: 2012-08-15 ASIN: 1439892369 EAN: 9781439892367 From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers linear models, ANOVA, cluster analysis, visualization tools, and machine learning techniques. Suitable for self-study and courses in computational biology, bioinformatics, statistics, and the life sciences, the text also presents examples of microarrays and bioinformatics applications. R code illustrates all of the essential concepts and is available on an accompanying CD-ROM. |
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by: Animesh Ray publisher: Chapman and Hall/CRC, published: 2012-08-15 ASIN: 1584884630 EAN: 9781584884637 sales rank: 5313926 Robust Networks discusses general principles behind network models and the essential concepts in mathematical modeling of molecular regulatory networks in biology. This book integrates biological mechanisms using a bottom-up approach in which genes and molecules are organized in complex networks. It relates abstract concepts in combinatorics and graph theory to questions in biology and addresses computational methods for deriving network models from data. It also addresses the testing of inferred networks by perturbation analysis on real biological systems using genomic techniques. With examples from research, this book is ideal for graduate students and researchers in computational biology. |
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by: Aidong Zhang publisher: Cambridge University Press, published: 2009-04-06 ASIN: 0521888956 EAN: 9780521888950 sales rank: 789071 The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research. |
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by: Gary William Flake publisher: A Bradford Book, published: 2000-01-31 ASIN: 0262561271 EAN: 9780262561273 sales rank: 166001 "Simulation," writes Gary Flake in his preface, "becomes a form of experimentation in a universe of theories. The primary purpose of this book is to celebrate this fact."In this book, Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing "agents" (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as "beautiful" and "interesting." From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation.Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks. |
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by: Mukhtar Ullah publisher: Springer, published: 2011-07-15 ASIN: 1461404770 EAN: 9781461404774 sales rank: 952799 This textbook focuses on stochastic analysis in systems biology containing both the theory and application. While the authors provide a review of probability and random variables, subsequent notions of biochemical reaction systems and the relevant concepts of probability theory are introduced side by side. This leads to an intuitive and easy-to-follow presentation of stochastic framework for modeling subcellular biochemical systems. In particular, the authors make an effort to show how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property. The text contains many illustrations, examples and exercises to illustrate the ideas and methods that are introduced. Matlab code is also provided where appropriate. Additionally, the cell cycle is introduced as a more complex case study. Senior undergraduate and graduate students in mathematics and physics as well as researchers working in the area of systems biology, bioinformatics and related areas will find this text useful. |
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by: Denis Noble publisher: Oxford University Press, USA, published: 2006-07-13 ASIN: 0199295735 EAN: 9780199295739 sales rank: 849993 The gene's eye view of life, proposed in Richard Dawkins acclaimed bestseller The Selfish Gene, sees living bodies as mere vehicles for the replication of genetic codes. But in The Music of Life, world renowned physiologist Denis Noble argues that, to truly understand life, we must look beyond the "selfish gene" to consider life on a much wider variety of levels. Life, Noble asserts, is a kind of music, a symphonic interplay between genes, cells, organs, body, and environment. He weaves this musical metaphor throughout this personal and deeply lyrical work, illuminating ideas that might otherwise be daunting to non-scientists. In elegant prose, Noble sets out a cutting-edge alternative to the gene's eye view, offering a radical switch of perception in which genes are seen as prisoners and the organism itself is a complex system of many interacting levels. In his more expansive view, life emerges as a process, the ebb and flow of activity in an intricate web of connections. He introduces readers to the realm of systems biology, a field that has been growing in strength in the past decade. Noble, himself one of the founders of this field, argues modern systems biology may be the view we need to adopt to gain a deeper understanding of the nature of life. Drawing on his experiences in his research on the heartbeat, and on evolutionary biology, development, medicine, philosophy, linguistics, and Chinese culture, Noble presents us with a profound and very modern reflection on the nature of life. |
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by: Mourad Elloumi publisher: Wiley, published: 2011-02-02 ASIN: 0470505192 EAN: 9780470505199 sales rank: 1470791 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: Bernhard Haubold publisher: Birkhäuser Basel, published: 2007-10-04 ASIN: 3764367008 EAN: 9783764367008 sales rank: 1389290 Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems. |