Related books on 'sequence-analysis'
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by: Richard Durbin publisher: Cambridge University Press, published: 1998-05-13 ASIN: 0521629713 EAN: 9780521629713 sales rank: 149583 Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analyzing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it is accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time presents the state of the art in this new and important field. |
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by: Mark Borodovsky publisher: Cambridge University Press, published: 2006-09-11 ASIN: 0521612306 EAN: 9780521612302 sales rank: 451245 This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis (BSA), by Durbin et al., widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in BSA as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as BSA and significantly extending the set of workable problems it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever M.Sc. degree program in Bioinformatics was held. MARK BORODOVSKY is the Regents' Professor of Biology and Biomedical Engineering and Director of the Center for Bioinformatics and Computational Biology at Georgia Institute of Technology in Atlanta. He is the founder of the Georgia Tech M.Sc. and Ph.D. degree programs in Bioinformatics. His research interests are in bioinformatics and systems biology. He has taught Bioinformatics courses since 1994. SVETLANA EKISHEVA is a Research Scientist at the School of Biology, Georgia Institute of Technology, Atlanta. Her research interests are in bioinformatics, applied statistics and stochastic processes. Her expertise includes teaching probability theory and statistics at universities in Russia and in the USA. |
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by: David W. Mount publisher: Cold Spring Harbor Laboratory Press, published: 2004-07-01 ASIN: 0879697121 EAN: 9780879697129 sales rank: 674171 As more species genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories. Related Titles from the Publisher Discovering Genomics, Proteomics, and Bioinformatics Emerging Model Organisms Genomes Proteins and Proteomics: A Laboratory Manual A Short Guide to the Human Genome |
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by: Terry Brown publisher: Wiley-Blackwell, published: 2010-04-27 ASIN: 1405181737 EAN: 9781405181730 sales rank: 204679 Known world-wide as the standard introductory text to this important and exciting area, the sixth edition of Gene Cloning and DNA Analysis addresses new and growing areas of research whilst retaining the philosophy of the previous editions. Assuming the reader has little prior knowledge of the subject, its importance, the principles of the techniques used and their applications are all carefully laid out, with over 250 clearly presented four-colour illustrations. In addition to a number of informative changes to the text throughout the book, the final four chapters have been significantly updated and extended to reflect the striking advances made in recent years in the applications of gene cloning and DNA analysis in biotechnology. Gene Cloning and DNA Analysis remains an essential introductory text to a wide range of biological sciences students; including genetics and genomics, molecular biology, biochemistry, immunology and applied biology. It is also a perfect introductory text for any professional needing to learn the basics of the subject. All libraries in universities where medical, life and biological sciences are studied and taught should have copies available on their shelves. "… the book content is elegantly illustrated and well organized in clear-cut chapters and subsections… there is a Further Reading section after each chapter that contains several key references… What is extremely useful, almost every reference is furnished with the short but distinct author's remark." |
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by: Steen Knudsen publisher: Wiley-Liss, published: 2004-03-02 ASIN: 0471656046 EAN: 9780471656043 sales rank: 2292915 Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis of DNA Microarray Data, Second Edition begins where DNA array equipment leaves off: the image produced by the microarray. The text deals with the questions that arise starting at this point, providing an introduction to microarray technology, then moving on to image analysis, data analysis, cluster analysis, and beyond. With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style. This Second Edition features entirely new chapters on: * Image analysis * Experiment design * Automated analysis, integrated analysis, and systems biology * Interpretation of results Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology. Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software. |
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by: Robert M. Grant publisher: Wiley, published: 2010-02-16 ASIN: 0470747102 EAN: 9780470747100 sales rank: 19334 Considered by many to be the best textbook on Strategy, Contemporary Strategy Analysis 7th edition builds on the strengths of previous editions by introducing students to the core concepts and principles of strategy. Rob Grant eloquently combines theory with current real world examples and practice using a clearly written, logical and comprehensive approach. Updates for the 7th Edition:
Contemporary Strategy Analysis 7th edition is suitable for both MBA and advanced undergraduate students. Full teachings notes to the cases are now available at the companion website www.contemporarystrategyanalysis.com Contemporary Strategy Analysis 7th Edition is also available in a combined text and cases version – |
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by: J.A. Murillo Pulgari@?n publisher: Elsevier, published: 2004-07-26 ASIN: B000RR001A This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser. Description: A simple, inexpensive assembly for flow analysis coupled with chemiluminescence detection and based on stopped-flow chemistry is reported. A 22bit analogue-to-digital converter that acquires analogue signals at -10 and +10V and allows the power supply to the peristaltic pump to be interrupted is used in the time-resolved chemiluminescence manifold to ensure rapid, efficient mixing of chemiluminescent reagent and sample immediately before reaching the detector; this results in high precision and detectability, particularly with fast, short-lived emissions. The proposed system also exhibits a high throughput (45samples/h) and a low reagent consumption. The system was validated by using it to study the chemiluminescent oxidation of naloxone by potassium permanganate in a phosphoric acid medium. The optimum conditions for chemiluminescence emission were established. The emission resulting from the oxidation of naloxone by permanganate ion in the stopped-flow mode revealed four analysis modes. Therefore, the conditions were optimised in terms of four quantitative parameters adjustable via software settings, namely: the maximum emission intensity, total emission, rate of the light-development reaction and rate of the light-decay reaction. Linear calibration graphs were obtained with each measurement parameter with detection limits ranging from 0.15 to 0.22@mgmL^-^1 and R.S.D. values (n=10) of 0.07-0.18 at a 3.0@mgmL^-^1 concentration level. The method was applied to the determination of naloxone in pharmaceutical preparations. |
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by: Philipp K. Janert publisher: O'Reilly Media, published: 2010-11-25 ASIN: 0596802358 EAN: 9780596802356 sales rank: 19537 These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful. |
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by: Dan Gusfield publisher: Cambridge University Press, published: 1997-05-28 ASIN: 0521585198 EAN: 9780521585194 sales rank: 194177 Traditionally an area of study in computer science, string algorithms have, in recent years, become an increasingly important part of biology, particularly genetics. This volume is a comprehensive look at computer algorithms for string processing. In addition to pure computer science, Gusfield adds extensive discussions on biological problems that are cast as string problems and on methods developed to solve them. This text emphasizes the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. |
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publisher: Humana Press, published: 2009-05-07 ASIN: 1588299104 EAN: 9781588299109 sales rank: 866134 The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion. |