Download or read book Microarray Analysis of the Physical Genome written by Jonathan R. Pollack and published by Humana Press. This book was released on 2011-12-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the early years of microarray technology, efforts were directed mainly at profiling expressed genes, while recently the microarray platform has been adapted into diverse applications directed toward the investigation of the physical genome. In Microarray Analysis of the Physical Genome: Methods and Protocols, experts in the field cover DNA microarray applications for the detection and characterization of genomic DNA-associated copy number alteration, loss of heterozygosity (LOH), cytosine methylation, protein binding sites, regulatory elements, and replication timing, with an emphasis on higher eukaryote (animal) and cancer genomes. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include a brief introduction to their respective subjects, lists of the necessary materials and reagents, step-by-step protocols, and time-saving notes on troubleshooting and avoiding known pitfalls. Authoritative and easy-to-use, Microarray Analysis of the Physical Genome: Methods and Protocols is of great value to the molecular biologist or computational biologist interested in understanding the principles of these analyses or in planning future experiments using microarrays to characterize the physical genome.
Download or read book Microarray Data Analysis written by Michael J. Korenberg and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on an array of topics is included in this innovative book including in-depth insights into presentations of genomic signal processing. Also detailed is the use of tiling arrays for large genomes analysis. The protocols follow the successful Methods in Molecular BiologyTM series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.
Download or read book Microarray Gene Expression Data Analysis written by Helen Causton and published by John Wiley & Sons. This book was released on 2009-04-01 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays
Download or read book Design and Analysis of DNA Microarray Investigations written by Richard M. Simon and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.
Download or read book Computational Genome Analysis written by Richard C. Deonier and published by Springer Science & Business Media. This book was released on 2005-12-27 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.
Download or read book A Practical Approach to Microarray Data Analysis written by Daniel P. Berrar and published by Springer Science & Business Media. This book was released on 2002-12-31 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.
Download or read book Advanced Analysis of Gene Expression Microarray Data written by Aidong Zhang and published by World Scientific. This book was released on 2006 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data. Describes cutting-edge methods for analyzing gene expression microarray data. Coverage includes gene-based analysis, sample-based analysis, pattern-based analysis and visualization tools.
Download or read book Analysis of Microarray Gene Expression Data written by Mei-Ling Ting Lee and published by Springer Science & Business Media. This book was released on 2004-04-30 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
Download or read book Analyzing Microarray Gene Expression Data written by Geoffrey J. McLachlan and published by John Wiley & Sons. This book was released on 2005-02-18 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease
Download or read book Microarray Analysis written by Mark Schena and published by Wiley-Liss. This book was released on 2002-11-11 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative text begins with an introduction to basic microarray technology. The author then provides clear explanations of the conceptual and theoretical basis of this technology, followed by thorough and multi-disciplinary coverage of modern and emerging applications. The coverageincludes chapters on microarray informatics, gene expression profiling, genetic diagnostics, and novel microarray technologies.
Download or read book Exploration and Analysis of DNA Microarray and Other High Dimensional Data written by Dhammika Amaratunga and published by Wiley. This book was released on 2014-01-31 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition " ... extremely well written ... a comprehensive and up-to-date overview of this important field."--Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to.
Download or read book Next Generation Microarray Bioinformatics written by Junbai Wang and published by Humana Press. This book was released on 2011-12-02 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent improvements in the efficiency, quality, and cost of genome-wide sequencing have prompted biologists and biomedical researchers to move away from microarray-based technology to ultra high-throughput, massively parallel genomic sequencing (Next Generation Sequencing, NGS) technology. In Next Generation Microarray Bioinformatics: Methods and Protocols, expert researchers in the field provide techniques to bring together current computational and statistical methods to analyze and interpreting both microarray and NGS data. These methods and techniques include resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data analysis, and emerging applications of microarray and next generation sequencing. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Authoritative and practical, Next Generation Microarray Bioinformatics: Methods and Protocols seeks to aid scientists in the further study of this crucially important research into the human DNA.
Download or read book Exploration and Analysis of DNA Microarray and Other High Dimensional Data written by Dhammika Amaratunga and published by John Wiley & Sons. This book was released on 2014-01-27 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition “...extremely well written...a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysis New topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methods Updated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics.
Download or read book Classification Analysis of DNA Microarrays written by Leif E. Peterson and published by John Wiley & Sons. This book was released on 2013-06-24 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley Series in Bioinformatics: Computational Techniques and Engineering Yi Pan and Albert Y. Zomaya, Series Editors Wide coverage of traditional unsupervised and supervised methods and newer contemporary approaches that help researchers handle the rapid growth of classification methods in DNA microarray studies Proliferating classification methods in DNA microarray studies have resulted in a body of information scattered throughout literature, conference proceedings, and elsewhere. This book unites many of these classification methods in a single volume. In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle swarm optimization, and more. Classification Analysis of DNA Microarrays provides highly detailed pseudo-code and rich, graphical programming features, plus ready-to-run source code. Along with primary methods that include traditional and contemporary classification, it offers supplementary tools and data preparation routines for standardization and fuzzification; dimensional reduction via crisp and fuzzy c-means, PCA, and non-linear manifold learning; and computational linguistics via text analytics and n-gram analysis, recursive feature extraction during ANN, kernel-based methods, ensemble classifier fusion. This powerful new resource: Provides information on the use of classification analysis for DNA microarrays used for large-scale high-throughput transcriptional studies Serves as a historical repository of general use supervised classification methods as well as newer contemporary methods Brings the reader quickly up to speed on the various classification methods by implementing the programming pseudo-code and source code provided in the book Describes implementation methods that help shorten discovery times Classification Analysis of DNA Microarrays is useful for professionals and graduate students in computer science, bioinformatics, biostatistics, systems biology, and many related fields.
Download or read book The Yeast Two hybrid System written by Paul L. Bartel and published by Oxford University Press, USA. This book was released on 1997 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, part of the Advances in Molecular Biology series, presents work by pioneers in the field and is the first publication devoted solely to the yeast two-hybrid system. It includes detailed protocols, practical advice on troubleshooting, and suggestions for future development. In addition, it illustrates how to construct an activation domain hybrid library, how to identify mutations that disrupt an interaction, and how to use the system in mammalian cells. Many of the contributors have developed new applications and variations of the technique.
Download or read book The Barley Genome written by Nils Stein and published by Springer. This book was released on 2018-08-18 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the state-of-the-art in barley genome analysis, covering all aspects of sequencing the genome and translating this important information into new knowledge in basic and applied crop plant biology and new tools for research and crop improvement. Unlimited access to a high-quality reference sequence is removing one of the major constraints in basic and applied research. This book summarizes the advanced knowledge of the composition of the barley genome, its genes and the much larger non-coding part of the genome, and how this information facilitates studying the specific characteristics of barley. One of the oldest domesticated crops, barley is the small grain cereal species that is best adapted to the highest altitudes and latitudes, and it exhibits the greatest tolerance to most abiotic stresses. With comprehensive access to the genome sequence, barley’s importance as a genetic model in comparative studies on crop species like wheat, rye, oats and even rice is likely to increase.
Download or read book A Glossary of Genetics and Cytogenetics written by R. Rieger and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past two decades have witnessed a truly phenomenal growth and expansion in our knowledge of the principles and mechanisms of in heritance. :\iolecular and microbial genetics, for all purposes non-existent at the outset of this period, have developed and flourished to the extent of becoming major branches of genetics from which the most exciting and edifying concepts of gene function and structure have been derived. Similarly, man, heretofore a genetic curiosity, has become in his own right a genetic organism of first rank importance. It is, therefore, not without reason that accompanying the rapid proliferation of genetic knowledge, a parallel increase has occurred in the technical nomen clature and terminology special to the field of genetics and often special to specific branches of genetics. In preparing this glossary of ca. 2500 entries, we have attempted to compile and collate the terminology from seemingly unrelated, widely separated branches of genetics - classical and molecular; microbial and human; cytogenetics and population genetics. We have not been content merely to collect terms and definitions much as is found in a dictionary. Rather our aim has been to provide material suitable and usable both for students and research workers. Accordingly, depending upon our evaluation, some terms have simply been defined, others have been described at some length even to the extent of providing experi mental data.
