Exploration and Analysis of DNA Microarray and Protein Array Data

Exploration and Analysis of DNA Microarray and Protein Array Data PDF Author: Dhammika Amaratunga
Publisher: John Wiley & Sons
ISBN: 0470317965
Category : Mathematics
Languages : en
Pages : 270

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Book Description
A cutting-edge guide to the analysis of DNA microarray data Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity. Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage. Highlights of the text include: A review of basic molecular biology, followed by an introduction to microarrays and their preparation Chapters on processing scanned images and preprocessing microarray data Methods for identifying differentially expressed genes in comparative microarray experiments Discussions of gene and sample clustering and class prediction Extension of analysis methods to protein array data Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.

Exploration and Analysis of DNA Microarray and Protein Array Data

Exploration and Analysis of DNA Microarray and Protein Array Data PDF Author: Dhammika Amaratunga
Publisher: John Wiley & Sons
ISBN: 0470317965
Category : Mathematics
Languages : en
Pages : 270

Get Book Here

Book Description
A cutting-edge guide to the analysis of DNA microarray data Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity. Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage. Highlights of the text include: A review of basic molecular biology, followed by an introduction to microarrays and their preparation Chapters on processing scanned images and preprocessing microarray data Methods for identifying differentially expressed genes in comparative microarray experiments Discussions of gene and sample clustering and class prediction Extension of analysis methods to protein array data Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data PDF Author: Dhammika Amaratunga
Publisher: Wiley
ISBN: 9781118364543
Category : Mathematics
Languages : en
Pages : 344

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Book Description
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.

Microarray Technology Through Applications

Microarray Technology Through Applications PDF Author:
Publisher: Taylor & Francis
ISBN: 1134182740
Category :
Languages : en
Pages : 321

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Book Description


Microarrays

Microarrays PDF Author: Jang B. Rampal
Publisher: Springer Science & Business Media
ISBN: 1597453048
Category : Science
Languages : en
Pages : 927

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Book Description
This second part in the two-volume work Microarrays details applications and data analysis. It includes insight into non-mammalian vertebrate systems, processes and protocols for high quality glass-based microarrays. Coverage includes applications in DNA, peptide, antibody and carbohydrate microarraying, oligonucleotide microarrays generated from hydrolysis PCR probe sequences, microarray platforms in clinical practice, and screening of cDNA libraries on glass slide microarrays. Authors in this volume also discuss protocols for predicting DNA duplex stability on oligonucleotide arrays and integrated analysis of microarray results.

Protein Microarray Technology

Protein Microarray Technology PDF Author: Dev Kambhampati
Publisher: John Wiley & Sons
ISBN: 3527605215
Category : Science
Languages : en
Pages : 276

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Book Description
This book is the first of its kind in the field of protein microarrays and addresses novel strategies for constructing highly functional and biocompatible microarrays for screening proteins. The list of authors consisting of world leading experts provide a roadmap for solving the complex challenges that are currently faced while monitoring protein-protein interactions over a wide range of microarray platforms. In doing so, they also offer a comprehensive overview of microarray surface chemistry, detection technologies, fabrication options for array development, and data analysis of numerous types of protein interactions. Topics covered include: -Types of biomolecular interactions -Surface chemistry -Detection technologies -Spotting technologies -Bioinformatics/data analysis. While primarily intended to serve as a reference for researchers and students embarking on the exciting fields of proteomics, drug discovery and clinical diagnostics, this technology is also expected to potentially impact the areas of food diagnostics, environmental monitoring and national security.

DNA Microarrays, Part B: Databases and Statistics

DNA Microarrays, Part B: Databases and Statistics PDF Author:
Publisher: Elsevier
ISBN: 0080464661
Category : Science
Languages : en
Pages : 506

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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

Microarrays

Microarrays PDF Author: Jang B. Rampal
Publisher: Springer Science & Business Media
ISBN: 1588295893
Category : Medical
Languages : en
Pages : 923

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Book Description
Microarray Technology, Volumes 1 and 2, present information in designing and fabricating arrays and binding studies with biological analytes while providing the reader with a broad description of microarray technology tools and their potential applications. The first volume deals with methods and protocols for the preparation of microarrays. The second volume details applications and data analysis, which is important in analyzing the enormous data coming out of microarray experiments. Among the topics discussed in Volume 1: Synthesis Methods, are matrices in the synthesis of microarrays, array optimization processes, array-based comparative genomic hybridization, 60-mer oligonucleotide probes, bifunctional reagents NTMTA and NTPAC, and high density arrays using digital microarray synthesis platforms. Other topics include multiplex ligation-dependent probe amplification (MLPA), hybridization conditions in situ-synthesized oligo arrays, peptide arrays, high density replication tools (HDRT), protocols for the quantification of oligo hybridization, glyco-bead arrays, and an investigation into the emerging nano technology. Microarray Technology, Volumes 1 and 2, provide ample information to all levels of scientists from novice to those intimately familiar with array technology.

Microarrays in Diagnostics and Biomarker Development

Microarrays in Diagnostics and Biomarker Development PDF Author: Bertrand Jordan
Publisher: Springer Science & Business Media
ISBN: 3642282032
Category : Medical
Languages : en
Pages : 241

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Book Description
Microarray technology has made strong progress over the past decade, and there have also been significant changes in application areas, from nucleic acids to proteomics and from research to clinical applications. This book provides a comprehensive overview of microarrays in diagnostics and biomarker development, covering DNA, peptide, protein and tissue arrays. The focus is on entities that are in actual clinical use, or quite close, and on recent developments, such as peptide and aptamer arrays. A further topic is the miniaturisation towards “nanoarrays”, which is expected to have great potential in clinical applications. Relevant issues of bioinformatics and statistical analysis of array data are discussed in detail, as well as the barriers to the commercialisation of array-based tests and the vexing IP issues involved. Thus, the book should be very useful tor active array users as well as to newcomers seeking to make the best choice between different technologies.

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data PDF Author: Dhammika Amaratunga
Publisher: John Wiley & Sons
ISBN: 111836452X
Category : Mathematics
Languages : en
Pages : 320

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Book Description
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.

Methods of Microarray Data Analysis II

Methods of Microarray Data Analysis II PDF Author: Simon M. Lin
Publisher: Springer Science & Business Media
ISBN: 0306475987
Category : Science
Languages : en
Pages : 214

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Book Description
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.