Related books on 'sequence-analysis'Return to life science book list
Number of products: 38601
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Average Case Analysis of Algorithms on Sequences (Wiley Series in Discrete Mathematics and Optimization)
by: Wojciech Szpankowski
publisher: Wiley-Interscience, published: 2001-04-16
sales rank: 3090474
A timely book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications, most notably in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms, combining both analytical and probabilistic tools in a single volume.
* Tools are illustrated through problems on words with applications to molecular biology, data compression, security, and pattern matching.
* Includes chapters on algorithms and data structures on words, probabilistic and analytical models, inclusion-exclusion principles, first and second moment methods, subadditive ergodic theorem and large deviations, elements of information theory, generating functions, complex asymptotic methods, Mellin transform and its applications, and analytic poissonization and depoissonization.
* Written by an established researcher with a strong international reputation in the field.
by: T. A. Brown
publisher: Wiley-Blackwell, published: 2010-04-12
sales rank: 375769
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."
by: Donald M. Atwater
publisher: Hillside-CYW Publishers, published: 2013-08-01
sales rank: 735237
There are so many macroeconomic terms and moving parts in an economy that students and managers can easily get lost. An advantage of this book is that it simplifies macroeconomic analysis. Each of the preceding books in this series explained macroeconomic analysis for a different key measure such as GDP, inflation, interest rates, exports and exchange rates. The goal of this book is to examine where all five major macroeconomic measures are likely to go as a group and what they mean to business performance.
A hands-on macro tool called the consolidated-U.S. simulator is provided to analyze change from more than 15 different variables. Fiscal policy, monetary policy, currency exchange-rate policy, and export conditions for -both the EU and U.S. can be put in play at the same time. The combined effects of these movements on key macroeconomic outcomes provide the kinds of macroeconomic information over time that practitioners need to use in their important business analyses.
Business analyses, such as return on investment for foreign direct investment, and meeting or exceeding domestic and international sales targets, are only as good as the macroeconomic analyses they are based on. The default assumptions about inflation, GDP growth, exports and interest rates are that change will be constant or that no change will occur. Yet the analyses presented throughout this book series shows that macroeconomic systems are rarely unchanged and move cyclically.
The standard for excellence in macroeconomic analysis in the future is to engage businesses early on. The expected value of early analysis is that it has the potential to disrupt the development of economic crises. Imagine a world in which economic crises failed to materialize. In such an environment bubbles form but did not burst and the benefits of growth may be shared by more than just the wealthy. Join us in this cause.
About the Author
Dr. Atwater has been teaching macroeconomics at the Graziadio School of Business and Management at Pepperdine University in Malibu, California since 1995. He has also given numerous macroeconomic seminars to corporations, faculty and practitioners including Nestlé USA, the Billion Dollar Club, the Academy of Economics and Finance, the National Association of Manufacturers, and the World Demographics Conference on Ageing. Dr. Atwater won the 2010 George Award for Outstanding Faculty Member. The business experiences he brings to the classroom include serving as chief executive for a Southern California technology company, the chief financial officer of an international, value-added software company, a principal in the human resources and compensation practice at William H. Mercer, and a director and cofounder of several start-up companies.
He has created decision-support technologies and implemented them in a number of Fortune 100 companies, including AT&T, Intel, Dell Computer, Apple Computer, BHP Minerals, IBM, Bank of America, Nestlé, and Nestlé USA.
Dr. Atwater earned his AB degree in mathematics, his MA degree in mathematical economics, and his C Phil and PhD degrees in economics from the University of California, Los Angeles.
publisher: Humana Press, published: 2009-05-28
sales rank: 2913519
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.
publisher: Wiley-Interscience, published: 2004-10-29
sales rank: 730213
Reviews of the Second Edition
"In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt."
--Eric Lander, from the Foreword to the Second Edition
"The editors and the chapter authors of this book are to be applauded for providing biologists with lucid and comprehensive descriptions of essential topics in bioinformatics. This book is easy to read, highly informative, and certainly timely. It is most highly recommended for students and for established investigators alike, for anyone who needs to know how to access and use the information derived in and from genomic sequencing projects."
--Trends in Genetics
"It is an excellent general bioinformatics text and reference, perhaps even the best currently available . . . Congratulations to the authors, editors, and publisher for producing a weighty, authoritative, readable, and attractive book."
--Briefings in Bioinformatics
"This book, written by the top scientists in the field of bioinformatics, is the perfect choice for every molecular biology laboratory."
--The Quarterly Review of Biology
This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discovery. This Third Edition reinforces key concepts that have stood the test of time while making the reader aware of new and important developments in this fast-moving field. With a new full-color and enlarged page design, Bioinformatics, Third Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists.
This new edition features:
* New chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification
* Detailed worked examples illustrating the strategic use of the concepts presented in each chapter, along with a collection of expanded,more rigorous problem sets suitable for classroom use
* Special topic boxes and appendices highlighting experimental strategies and advanced concepts
* Annotated reference lists, comprehensive lists of relevant Web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics
Bioinformatics, Third Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, clinical research, proteomics, and computational biology.
by: Michael M. Miyamoto
publisher: Oxford University Press, published: 1991-11-14
sales rank: 3655040
With increasing frequency, systematic and evolutionary biologists have turned to the techniques of molecular biology to complement their traditional morphological and anatomical approaches to questions of the historical relationship and descent among groups of animals and plants. In particular, the comparative analysis of DNA sequences is becoming a common and important focus of research attention today. The objective of this volume is to survey the emerging field of molecular systematics of DNA sequences, and to appraise the strengths and limitations of the different approaches yielded by these techniques. The contributors are an internationally recognized group of investigators from different schools and disciplines who critically address a diversity of crucial questions about DNA systematics, including DNA sequence data acquisition, phylogenetic inference, congruence and consensus problems, limitations of molecular data, and the integration of molecular and morphological data sets. The work will interest all botanists and zoologists involved in systematics, taxonomy, and evolution.
by: Ingvar Eidhammer
publisher: Wiley, published: 2004-02-13
sales rank: 2217757
Genomics and bioinformatics play an increasingly important and transformative role in medicine, society and agriculture. The mapping of the human genome has revealed 35,000 or so genes which might code for more than one protein, resulting in 100,000 proteins for the humans alone. Since proteins are attractive targets for developing drugs, efforts are now underway to map sequences and assign functions to many novel proteins. This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective.
Key features of the book include:
Visit this website for exercises with solutions, computer programs, errata and additional material:
by: A. N. Kolmogorov
publisher: Dover Publications, published: 1999-02-16
sales rank: 49045
Based on the authors' courses and lectures, this two-part advanced-level text is now available in a single volume. Topics include metric and normed spaces, continuous curves in metric spaces, measure theory, Lebesque intervals, Hilbert space, and more. Each section contains exercises. Lists of symbols, definitions, and theorems. 1957 edition.
publisher: Humana Press, published: 2008-05-22
sales rank: 4212620
In this book, leading researchers in the field of Bioinformatics provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects. They encompass topics from across the diverse field of bioinformatics through its broad scope, combining to provide an inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists.
by: Samantha Gwinn
publisher: BookSurge Publishing, published: 2009-04-17
sales rank: 83011
Handbook for police crime analysts and prospective crime analysts, outlining the major skills and knowledge sets necessary to be successful in the profession, from fundamental knowledge to advanced mathematical and computer skills.