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Author: Wei Zhang
Publisher: John Wiley & Sons
ISBN: 0471726249
Category : Science
Languages : en
Pages : 158
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Book Description
Microarray technology provides researchers in the life sciences with a revolutionary tool for measuring gene expression. However, this highly developed process involves multiple steps, from sample selection to data analysis, each susceptible to potentially costly errors. Without sound quality control, experimental microarrays may produce useless or, even worse, misleading results. Microarray Quality Control provides a comprehensive resource for ensuring quality control in every step of this complex process. From experimental design to data processing, analysis, and interpretation, the emphasis in this text remains on practical advice for each stage of planning and running a microarray study. Chapters cover: * Quality of biological samples * Quality of DNA * Hybridization protocols Scanning * Data acquisition * Image analysis * Data analysis Written for the broad group of workers-biologists, mathematicians, statisticians, engineers, physicians, and computational scientists-involved in microarray studies, Microarray Quality Control features a straightforward style easily accessed by various disciplines. Useful checklists and tips help ensure the integrity of results, and each chapter contains a thorough review of pertinent literature. The only complete, systematic treatment of the topic available, Microarray Quality Control offers students and practitioners an invaluable resource for improving experimental quality and efficiency.
Author: Wei Zhang
Publisher: John Wiley & Sons
ISBN: 0471726249
Category : Science
Languages : en
Pages : 158
Get Book Here
Book Description
Microarray technology provides researchers in the life sciences with a revolutionary tool for measuring gene expression. However, this highly developed process involves multiple steps, from sample selection to data analysis, each susceptible to potentially costly errors. Without sound quality control, experimental microarrays may produce useless or, even worse, misleading results. Microarray Quality Control provides a comprehensive resource for ensuring quality control in every step of this complex process. From experimental design to data processing, analysis, and interpretation, the emphasis in this text remains on practical advice for each stage of planning and running a microarray study. Chapters cover: * Quality of biological samples * Quality of DNA * Hybridization protocols Scanning * Data acquisition * Image analysis * Data analysis Written for the broad group of workers-biologists, mathematicians, statisticians, engineers, physicians, and computational scientists-involved in microarray studies, Microarray Quality Control features a straightforward style easily accessed by various disciplines. Useful checklists and tips help ensure the integrity of results, and each chapter contains a thorough review of pertinent literature. The only complete, systematic treatment of the topic available, Microarray Quality Control offers students and practitioners an invaluable resource for improving experimental quality and efficiency.
Author: Florian Hahne
Publisher: Springer Science & Business Media
ISBN: 0387772405
Category : Science
Languages : en
Pages : 287
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Book Description
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include: (1) import and preprocessing of data from various sources; (2) statistical modeling of differential gene expression; (3) biological metadata; (4) application of graphs and graph rendering; (5) machine learning for clustering and classification problems; (6) gene set enrichment analysis. Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table.
Author: Robert Gentleman
Publisher: Springer Science & Business Media
ISBN: 0387293620
Category : Computers
Languages : en
Pages : 478
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Book Description
Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.
Author: Sorin Draghici
Publisher: CRC Press
ISBN: 1439809763
Category : Computers
Languages : en
Pages : 1036
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Book Description
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on,
Author: Robert S. Matson
Publisher: CRC Press
ISBN: 1420046667
Category : Medical
Languages : en
Pages : 216
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Book Description
A Step-by-Step Guide to Present and Future Uses of Microarray TechnologyMicroarray technology continues to evolve, taking on a variety of forms. From the spotting of cDNA and the in situ synthesis of oligonucleotide arrays now come microarrays comprising proteins, carbohydrates, drugs, tissues, and cells. With contributions from microarray experts
Author:
Publisher: Academic Press
ISBN: 9780121828165
Category : Science
Languages : en
Pages : 512
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Book Description
Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results. Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations. Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician. Provides an overview of platforms Includes experimental design and wet bench protocols Presents statistical and data analysis methods, array databases, data visualization and meta analysis
Author: Richard M. Simon
Publisher: Springer Science & Business Media
ISBN: 0387218661
Category : Medical
Languages : en
Pages : 205
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Book Description
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.
Author: Ernst Wit
Publisher: John Wiley & Sons
ISBN: 9780470849934
Category : Mathematics
Languages : en
Pages : 286
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Book Description
Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data – from getting good data to obtaining meaningful results. Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference. Features many examples throughout using real data from microarray experiments. Computational techniques are integrated into the text. Takes a very practical approach, suitable for statistically-minded biologists. Supported by a Website featuring colour images, software, and data sets. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.
Author: Mark Schena
Publisher: Eaton Publishing Company/Biotechniques Books
ISBN:
Category : Medical
Languages : en
Pages : 352
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Book Description
Technology standards for microarray research (M. Schena, R. W. Davis). Microfluidic technologies and instrumentation for printing DNA microarrays (Don Rose). Novel microarray printing and detection technologies (M. L. Mace Júnior, J. Montagu, Stanley D. Rose, G. McGuinness). A systems approach to fabricating and analyzing DNA microarrayss (J. Worley, K. Bechtol, S. Penn, D. Roach, D. hanzel, M. Trounstine, D. B.). The flow-thru chip: a three-dimensional biochip platform (A. Stell, M. Torres, J. Hartwell, Yong-Yi Yu, Nan Ting, G. Hoke, H. Yang). Large-scale genomic analysis using affymetrix genechip probe arrays (J. A. Warrington, S. Dee, M. Trulson). Technology and applications of gene expression microarrays (E. Evertsz, P. Starink, R. Gupta, D. Watson). Information processing issues and solutions associated with microarray technology (Y.-X. Zhou, P. Kalocsai, J.-Y. Chen, S. Shams). Microarray tools, kits, reagents, and services (T. Martinsky, P. Haje). Micromax: a highly sensitive system for differential gene expression on microarrays (K. Adler, J. Broadbent, R. Garlick, R. Joseph, A. Khimani, A. Mikulskis, P. Rapiejko, J. Killian). Production of microarrays on porous substrates using noncontact piezoelectric dispensing (D. Englert). Arrayed primer extension on the DNA chip: method and applications (N. Tonisson, A. Kurg, E. Lõhmussaar, A. Metspalu). Overview of a microarray scanner: design essentials for an integrated acquisition and analysis platform (T. Basarsky, D. Verdnik, J. Ye Zhai, D. Wellis). Selected supplier list. Index.
Author: Stefan Offermanns
Publisher: Springer Science & Business Media
ISBN: 3540389164
Category : Medical
Languages : en
Pages : 1515
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Book Description
An essential text, this is a fully updated second edition of a classic, now in two volumes. It provides rapid access to information on molecular pharmacology for research scientists, clinicians and advanced students. With the A-Z format of over 2,000 entries, around 350 authors provide a complete reference to the area of molecular pharmacology. The book combines the knowledge of classic pharmacology with the more recent approach of the precise analysis of the molecular mechanisms by which drugs exert their effects. Short keyword entries define common acronyms, terms and phrases. In addition, detailed essays provide in-depth information on drugs, cellular processes, molecular targets, techniques, molecular mechanisms, and general principles.
