Bioinformatics For Biologists
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Bioinformatics For Biologists Pevzner, Pavel (EDT)/ Shamir, Ron (EDT) 9781107648876 09781107648876

Discovering Genomics, Proteomics And Bioinformatics
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Key benefit discovering Genomics is the first genomics text that combines web activities and case studies with a problem-solving approach to teach upper-level undergraduates and first-year graduate students the fundamentals of genomic analysis. More of a workbook than a traditional text, Discovering Genomics, Second Edition allows students to work with real genomic data in solving problems and provides the user with an active learning experience. key topics genomic Medicine Case Study: What''s wrong with my child? Genome Sequence Acquisition and Analysis, Comparative Genomics in Evolution and Medicine, Genome Variations, Genomic Medicine Case Study: Why Can''t I Just Take a Pill to Lose Weight? Basic Research with DNA Microarrays, Applied… [cont.]

Systematic Approaches in Bioinformatics and Computational Systems
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"This book presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data, covering three subject areas: bioinformatics, computational biology, and computational systems biology"--

Bioinformatics for systems biology
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The biological sciences are now in the midst of a true life sciences revolution akin to what physics experienced just after the turn of the last century. We are now in a phase of unparalleled growth that is reflected by the amount of data generated from each experiment. At the time of this writing, the rate of data acquisition was approaching 2 terabytes over the course of 5 days with first pass analysis proceeding over the following 2-3 week period. This fundamental shift has provided unprecedented opportunities that for the first time afford us the ability, ie, means, breadth, and depth of data, to truly address human biology at the systems level. This wealth of information from seemingly disparate datasets and its integration is being… [cont.]

Algorithms in Bioinformatics (Paperback)
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This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms in Bioinformatics, WABI 2011, held in Saarbrcken, Germany, in September 2011. The 30 papers presented were carefully reviewed and selected from 77 submissions. They cover aspects of algorithms in bioinformatics, computational biology and systems biology.

Bioinformatics For Dummies (Paperback)
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Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You'll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the… [cont.]

Bioinformatics and Systems Biology: Collaborative Research and Resourc
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Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology. Central themes include describing processes and results in collaborative research projects using computational biology and providing a guide for researchers to access them.The book is also a practical guide… [cont.]

Proceedings of the 3rd Asia-Pacific Bioinformatics Conference
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Wong Limsoon, Limsoon Wong (Editor),Hardcover, English-language edition,Pub by Imperial College Press

Introduction to mathematical methods in bioinformatics
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This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis.

Bioinformatics for High Throughput Sequencing (Hardcover)
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Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein - DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging.

Proceedings of the 2003 IEEE Bioinformatics Conference CSB 2003: 11-14
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The 37 papers in this collection from the August 2003 conference explore the application of computer methods to biomedical research with sessions on microarray data analysis, ...

Essential Bioinformatics
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Clear, concise introduction to bioinformatics, written specifically to be accessible to a life science audience.

Pattern Discovery in Bioinformatics: Theory and Algorithms
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The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data.Taking a systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range… [cont.]

Bioinformatics Research and Applications: Fourth International Symposi
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This book constitutes the refereed proceedings of the Fourth International Symposium on Bioinformatics Research and Applications, ISBRA 2008, held in Atlanta, GA, USA in May 2008.The 35 revised full papers presented together with 6 workshop papers and 6 invited papers were carefully reviewed and selected from a total of 94 submissions. The papers cover a wide range of topics, including clustering and classification, gene expression analysis, gene networks, genome analysis, motif finding, pathways, protein structure prediction, protein domain interactions, phylogenetics, and software tools.

Bioinformatics: A Concept-Based Introduction
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Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of expertise.This book contains contributions from experts in the field on emerging topics like Immunoinformatics, Genomics and Proteomics. It discusses real-world problems with Bioinformatics solutions, cites important URLs and contains selected chapter exercises to reinforce concepts.

Bioinformatics (Hardcover)
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This is the second volume of a two-volume work describing methods from across the interdisciplinary subject of bioinformatics, or the management and analysis of data for the life sciences. Keith (School of Mathematical Sciences, Queensland U. of Technology, Australia) has organized the volume`s 25 chapters into sections dealing with structures, inferring function, applications and disease, and analytical and computational methods. Specific topics include software for nucleic acid folding and hybridization, protein structure prediction, protein contact prediction, analysis of mass spectrometry data in proteomics, classification of protein domains, inferring function from homology, inferring functional relationships from conservation of gene… [cont.]

Bioinformatics and Functional Genomics
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The bestselling introduction to bioinformatics and functional genomics now in an updated edition Widely received in its previous edition, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline. Now in a thoroughly updated and expanded Second Edition, it continues to be the go-to source for students and professionals involved in biomedical research.This edition provides up-to-the-minute coverage of the fields of bioinformatics and genomics. Features new to this edition include:Several fundamentally important proteins, such as globins, histones, insulin, and albumins, are included to better show how to apply bioinformatics tools to basic biological questions A completely updated… [cont.]

Statistical Bioinformatics with R
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Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics. Ancillary list: Online ISM- Companion Website w/ R code and Ebook- Powerpoint slides- Integrates biological, statistical and computational concepts Inclusion of R & SAS code Provides coverage of complex statistical methods in context with applications in… [cont.]

Interdisciplinary Research and Applications in Bioinformatics, Computa
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Limin Angela Liu, Dongqing Wei,Hardcover, English-language edition,Pub by IGI-Global

Practical Bioinformatics
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This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.