Related books on 'single-nucleotide-polymorphisms snp-analysis'
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by: Sebastian Wernicke publisher: Diplomarbeiten Agentur diplom.de, published: 2003-01-01 ASIN: 3838674812 EAN: 9783838674810 sales rank: 6545688 Diplomarbeit, die am 23.09.2003 erfolgreich an einer Universität in Deutschland im Fachbereich Informatik 17 eingereicht wurde. Abstract: This work brings together two areas of science-biology and informatics-that have only recently been connected in the emerging (and vastly growing) research field of Bioinformatics. In order to achieve a common basis for Parts 2 and 3 of this work, Part 1 intends to introduce the computer scientist to the relevant biological background and terminology (Chapter 2), and to familiarize the biologist with the relevant topics from theoretical computer science (Chapter 3). Chapter 2 first introduces some terminology from the field of genetics, thereby defining SNPs. We then motivate the analysis of SNPs by two applications, i.e. the analysis of evolutionary development and the field of pharmacogenetics. Especially the field of pharmacogenetics is capable of having an enormous impact on medicine and the pharmaceutical industry in the near future by using SNP data to predict the efficacy of medication. Chapter 3 gives a brief introduction to the field of computational complexity. We will see and motivate how algorithms are analyzed in theoretical computer science. This will lead to the definition of "complexity classes", introducing the class NP which includes computationally hard problems. Some of the hard problems in the class NP can be solved efficiently using the tool of fixed-parameter tractability, introduced at the end of this chapter. An important application of SNP data is in the analysis of the evolutionary history of species development (phylogenetic analysis - part two - chapters 4 and 5). As will be made plausible in Chapter 5 using SNP data is-in many ways-superior to previous approaches of phylogenetic analysis. In order to analyze the development of species using SNP data, an underlying model of evolution must be specified. A popular model is the so-called perfect phylogeny, but the construction of this phylog... |
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by: Andrea S. Foulkes publisher: Springer, published: 2009-04-17 ASIN: 0387895531 EAN: 9780387895536 sales rank: 199281 Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. |
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by: Susanne Hummel publisher: Springer, published: 2010-12-08 ASIN: 3642077056 EAN: 9783642077050 sales rank: 1761790 This is the definitive source of information on techniques for the identification and sequencing of old DNA (pieces) and their use in biological and medical research and application. Application of aDNA techniques are useful tools for investigations reaching from evolutionary studies to law enforcement approaches. What brings them together is the interest in specific methods of handling aDNA, i.e. elaborated PCR and sequencing techniques and the interpretation of the results. This books serves as an ideal guideline for it demonstrates how problem-solving strategies can be applied in various areas. |
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by: Raphael Falk publisher: Cambridge University Press, published: 2011-02-17 ASIN: 0521182816 EAN: 9780521182812 sales rank: 1654770 There is a paradox lying at the heart of the study of heredity. To understand the ways in which features are passed on down from one generation to the next, we have to dig deeper and deeper into the ultimate nature of things - from organisms, to genes, to molecules. And yet as we do this, increasingly we find we are out of focus with our subjects. What has any of this to do with the living, breathing organisms with which we started? Organisms are living. Molecules are not. How do we relate one to the other? In Genetic Analysis, one of the most important empirical scientists in the field in the twentieth century attempts, through a study of history and drawing on his own vast experience as a practitioner, to face this paradox head-on. His book offers a deep and innovative understanding of our ways of thinking about heredity. |
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Determination of Complex Reaction Mechanisms: Analysis of Chemical, Biological, and Genetic Networks by: John Ross publisher: Oxford University Press, USA, published: 2005-11-24 ASIN: 0195178688 EAN: 9780195178685 sales rank: 2044043 In a chemical system with many chemical species several questions can be asked: what species react with other species: in what temporal order: and with what results? These questions have been asked for over one hundred years about simple and complex chemical systems, and the answers constitute the macroscopic reaction mechanism. In Determination of Complex Reaction Mechanisms authors John Ross, Igor Schreiber, and Marcel Vlad present several systematic approaches for obtaining information on the causal connectivity of chemical species, on correlations of chemical species, on the reaction pathway, and on the reaction mechanism. Basic pulse theory is demonstrated and tested in an experiment on glycolysis. In a second approach, measurements on time series of concentrations are used to construct correlation functions and a theory is developed which shows that from these functions information may be inferred on the reaction pathway, the reaction mechanism, and the centers of control in that mechanism. A third approach is based on application of genetic algorithm methods to the study of the evolutionary development of a reaction mechanism, to the attainment given goals in a mechanism, and to the determination of a reaction mechanism and rate coefficients by comparison with experiment. Responses of non-linear systems to pulses or other perturbations are analyzed, and mechanisms of oscillatory reactions are presented in detail. The concluding chapters give an introduction to bioinformatics and statistical methods for determining reaction mechanisms. |
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publisher: Humana Press, published: 2010-12-01 ASIN: 1617375640 EAN: 9781617375644 sales rank: 3620821 Protocols for Nucleic Acid Analysis by Non-radioactive Probes, Second Edition provides a firm background on the basic preparative protocols required for the analysis of nucleic acids by nonradioactive methods. Presenting the methodologies using amazing new applications, this volume offers guide chapters on nucleic acid extractions, preparation of nucleic acid blots, and labeling of nucleic acids with nonradioactive haptens. New fluorescent techniques such as Real Time PCR and microarrays are also included, allowing users to get a nonradioactive protocol implemented in the laboratory with minimum adaptation required and fastest time to results. The protocols follow the successful Methods in Molecular Biology™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls. |
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by: Francisco Azuaje publisher: Wiley, published: 2010-04-13 ASIN: 047074460X EAN: 9780470744604 sales rank: 1135621 This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery
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publisher: Springer, published: 2009-03-26 ASIN: 0387097171 EAN: 9780387097176 sales rank: 624480 Diagnosis and Management of Polycystic Ovary Syndrome is a comprehensive clinical reference work for primary care physicians, internists, general endocrinologists, obstetricians, gynecologists and students. PCOS is a common but frequently misdiagnosed disease. Many symptoms can be alleviated by early intervention and effective management. Prominent endocrinologists are gathered to detail current research and treatment in this metabolic disorder, affecting a growing population. The chapters are comprehensive, providing cutting edge knowledge on pathogenesis, manifestations, diagnosis and treatment of PCOS. Each chapter will be concise concluding with cogent practice points. The variety of medical issues presenting in PCOS patients result in late referrals or in- appropriate advice. This title will be a tool in a further understanding of the metabolic and genetic basis of PCOS, while providing management strategies. |
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by: Sio-Iong Ao publisher: Springer, published: 2010-11-05 ASIN: 9048180406 EAN: 9789048180400 Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics. |
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by: Royal Society of Chemistry publisher: Royal Society of Chemistry, published: 2010-10-18 ASIN: 1847559115 EAN: 9781847559111 sales rank: 2598631 This unique introduction to the growing field of microfluidics applied to genomics provides an overview of the latest technologies and emphasizes its potential in answering important biological questions. Written by a physicist and a biologist, it offers a more comprehensive view than the previous literature. The book starts with key ideas in molecular biology, developmental biology and microtechnology before going on to cover the specifics of single cell analysis and microfluidic devices for single cell molecular analysis. Review chapters discuss the state-of-the art and will prove invaluable to all those planning to develop microdevices for molecular analysis of single cells. Methods allowing complete analysis of gene expression in the single cell are stressed - as opposed the more commonly used techniques that allow analysis of only a few genes at a time. As pioneers in the field, the authors understand how critical it is for a physicist to understand the biological issues and questions related to single cell analysis, as well for biologists to understand what microfluidics is all about. Aimed predominantly at graduate students, this book will also be of significant interest to scientists working in or affiliated with this field.
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