Related books on 'sequence-analysis'Return to life science book list
Number of products: 39610
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by: Annette M. Griffin
publisher: Humana Press, published: 1994-02-23
sales rank: 2230628
DNA sequencing has become increasingly efficient over the years, resulting in an enormous increase in the amount of data gen- ated. In recent years, the focus of sequencing has shifted, from being the endpoint of a project, to being a starting point. This is especially true for such major initiatives as the human genome project, where vast tracts of DNA of unknown function are sequenced. This sheer volume of available data makes advanced computer methods ess- tial to analysis, and a familiarity with computers and sequence ana- sis software a vital requirement for the researcher involved with DNA sequencing. Even for nonsequencers, a familiarity with sequence analysis software can be important. For instance, gene sequences already present in the databases can be extremely useful in the design of cloning and genetic manipulation experiments. This two-part work on Analysis of Data is designed to be a practical aid to the researcher who uses computers for the acquisition, storage, or analysis of nucleic acid (and/or p- tein) sequences. Each chapter is written such that a competent sci- tist with basic computer literacy can carry out the procedure successfully at the first attempt by simply following the detailed pr- tical instructions that have been described by the author. A Notes section, which is included at the end of each chapter, provides advice on overcoming the common problems and pitfalls sometimes enco- tered by users of the sequence analysis software. Software packages for both the mainframe and personal computers are described.
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: 3209412
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.
publisher: Springer, published: 2010-10-28
sales rank: 4674470
An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.
by: Stephen Winters-Hilt
publisher: Lulu.com, published: 2011-05-02
sales rank: 2736227
This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.
by: Robert W. Brown
publisher: Wiley-Blackwell, published: 2014-06-23
sales rank: 872455
New edition explores contemporary MRI principles and practices
Thoroughly revised, updated and expanded, the second edition of Magnetic Resonance Imaging: Physical Principles and Sequence Design remains the preeminent text in its field. Using consistent nomenclature and mathematical notations throughout all the chapters, this new edition carefully explains the physical principles of magnetic resonance imaging design and implementation. In addition, detailed figures and MR images enable readers to better grasp core concepts, methods, and applications.
Magnetic Resonance Imaging, Second Edition begins with an introduction to fundamental principles, with coverage of magnetization, relaxation, quantum mechanics, signal detection and acquisition, Fourier imaging, image reconstruction, contrast, signal, and noise. The second part of the text explores MRI methods and applications, including fast imaging, water-fat separation, steady state gradient echo imaging, echo planar imaging, diffusion-weighted imaging, and induced magnetism. Lastly, the text discusses important hardware issues and parallel imaging.
Readers familiar with the first edition will find much new material, including:
Three appendices at the end of the text offer review material for basic electromagnetism and statistics as well as a list of acquisition parameters for the images in the book.
Acclaimed by both students and instructors, the second edition of Magnetic Resonance Imaging offers the most comprehensive and approachable introduction to the physics and the applications of magnetic resonance imaging.
by: Matthew B. Miles
publisher: SAGE Publications, Inc, published: 2013-04-18
sales rank: 19838
The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.
by: T. A. Brown
publisher: Wiley-Blackwell, published: 2010-04-12
sales rank: 321530
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: Robert M. Grant
publisher: Wiley, published: 2013-01-22
sales rank: 23379
Robert M. Grant combines a highly accessible writing style with a concentration on the fundamentals of value creation and an emphasis on practicality in this leading strategy text.
In this new edition, he includes an even greater focus on strategy implementation that reflects the needs of firms to reconcile scale economies with entrepreneurial flexibility, innovation with cost efficiency, and globalization with local responsiveness. This edition also incorporates some of the key strategic issues of today including: post-financial crisis adjustment, the continuing rise of China, India and Brazil, and the increased emphasis on ethics and sustainability. Coverage is also provided on strategy in not-for-profit organizations.
Contemporary Strategy Analysis, Text and Cases 8th Edition combines the text with an updated collection of 20 case studies. It is suitable for both MBA and advanced undergraduate students.
The new edition of Contemporary Strategy Analysis, Text and Cases 8th Edition is accompanied by a fully interactive e-Book, which can be accessed using a code packaged with the book. To access this e-Book go to: www.contemporarystrategyanalysis.com
Additional teaching resources are also available for instructors, including an instructor’s manual, case teaching notes, test bank, teaching slides, case video clips and extra cases. All of these resources can be accessed via the companion website: www.contemporarystrategyanalysis.com
by: Roger Bakeman
publisher: Cambridge University Press, published: 2011-10-10
sales rank: 1267058
Behavioral scientists - including those in psychology, infant and child development, education, animal behavior, marketing, and usability studies - use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time. This book emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Key topics include devising coding schemes, training observers, and assessing reliability, as well as recording, representing, and analyzing observational data. In clear and straightforward language, this book provides a thorough grounding in observational methods along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis with a computer program developed by the authors. The book is rich with examples of coding schemes and different approaches to sequential analysis, including both statistical and graphical means.
by: Donald M. Atwater
publisher: Hillside-CYW Publishers, published: 2013-08-01
sales rank: 126285
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.