Автор: Berrar Daniel P., Dubitzky Werner, Granzow Martin Название: A Practical Approach to Microarray Data Analysis ISBN: 1402072600 ISBN-13(EAN): 9781402072604 Издательство: Springer Рейтинг: Цена: 6544 р. 9349.00-30% Наличие на складе: Есть (1 шт.) Описание: A Practical Approach to Microarray Data Analysis is for all life scientists, statisticians, computer experts, technology developers, managers, and other professionals tasked with developing, deploying, and using microarray technology including the necessary computational infrastructure and analytical tools. The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining, or applied computer science. Key topics covered include: -Format of result from data analysis, analytical modeling/experimentation; -Validation of analytical results; -Data analysis/Modeling task; -Analysis/modeling tools; -Scientific questions, goals, and tasks; -Application; -Data analysis methods; -Criteria for assessing analysis methodologies, models, and tools.
Описание: Written by HPC experts, this book provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. The authors highlight the importance of performance modeling of applications on all levels of a system’s architecture and include numerous case studies drawn from their experiences in HPC user support, performance optimization, and benchmarking. Downloadable code and an annotated bibliography are available on the book’s website.
Описание: Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
Описание: Experimentation is one of the most common activities in which all people engage. This title presents the modern treatment in the design and analysis of experiment topics. It is suitable for upper-undergraduate or beginning-graduate students, practicing engineers, and statisticians.
Описание: Current methods for the separation and purification of RNA are explained, addressing both fundamental principles and practical aspects. The complete know-how to develop and optimise laboratory protocols for the handling of every RNA species, from the very small to the very large.
Описание: Infrared radiation analysis is a powerful tool for understanding the structure and function of peptides and proteins. This book examines these applications in detail, providing a valuable source for both basic methods and new refinements.
Описание: Filled with practical examples, this volume illustrates innovative flavour analysis techniques used by leaders in food chemistry. It covers flavour analysis for apples, beef, citrus, coffee, cheese, extruded pet foods, fungi, milk, and Maillard reaction systems.
Описание: The DNA of eukaryotes is packaged into chromosomes - each chromosome consisting of a very long molecule of DNA and various proteins (e.g. histones), and the number of chromosomes being characteristic for the species concerned. Chromosome analysis can provide a great deal of information for many aspects of cellular genetics such as DNA replication, protein:DNA interactions and genetic manipulation. This fully illustrated and informative laboratory manual on moderntechniques and approaches to the study of chromosome structure will be invaluable to researchers and academic staff in genetics, biomedical science and molecular biology.
Описание: Biomolecules and cells are critical components of biosensors and biomaterials. This book provides a selection of methods for immobilizing biomolecules and cells on a variety of surfaces so that they retain their functionality. It also provides the analytical techniques required to measure the functionality of immobilized biomolecules. All the protocols have been tried and validated by the authors. Immobilized Biomolecules in Analysis: A Practical Approachprovides the critical methods required by researchers in the fields of biosensors and biomaterials so that they can be used without an extensive prior knowledge of biochemistry.
Описание: Given the immense progress achieved in elucidating protein-protein complex structures and in the field of protein interaction modeling, there is great demand for a book that gives interested researchers/students a comprehensive overview of the field. This book does just that. It focuses on what can be learned about protein-protein interactions from the analysis of protein-protein complex structures and interfaces. What are the driving forces for protein-protein association? How can we extract the mechanism of specific recognition from studying protein-protein interfaces? How can this knowledge be used to predict and design protein-protein interactions (interaction regions and complex structures)? What methods are currently employed to design protein-protein interactions, and how can we influence protein-protein interactions by mutagenesis and small-molecule drugs or peptide mimetics?The book consists of about 15 review chapters, written by experts, on the characterization of protein-protein interfaces, structure determination of protein complexes (by NMR and X-ray), theory of protein-protein binding, dynamics of protein interfaces, bioinformatics methods to predict interaction regions, and prediction of protein-protein complex structures (docking and homology modeling of complexes, etc.) and design of protein-protein interactions. It serves as a bridge between studying/analyzing protein-protein complex structures (interfaces), predicting interactions, and influencing/designing interactions.Sample Chapter(s)Chapter 1: X-ray Study of Protein–Protein Complexes and Analysis of Interfaces (37 KB)
Описание: This volume serves as a proteomics reference manual, describing experimental design and execution. The book also shows a large number of examples as to what can be achieved using proteomics techniques. As a relatively young area of scientific research, the breadth and depth of the current state of the art in proteomics might not be obvious to all potential users. There are various books and review articles that cover certain aspects of proteomics but they often lack technical details. Subject specific literature also lacks the broad overviews that are needed to design an experiment in which all steps are compatible and coherent. The objective of this book was to create a proteomics manual to provide scientists who are not experts in the field with an overview of:1. The types of samples can be analyzed by mass spectrometry for proteomics analysis.2. Ways to convert biological or ecological samples to analytes ready for mass spectral analysis.3. Ways to reduce the complexity of the proteome to achieve better coverage of the constituent proteins.4. How various mass spectrometers work and different ways they can be used for proteomics analysis5. The various platforms that are available for proteomics data analysis6. The various applications of proteomics technologies in biological and medical sciencesThis book should appeal to anyone with an interest in proteomics technologies, proteomics related bioinformatics and proteomics data generation and interpretation. With the broad setup and chapters written by experts in the field, there is information that is valuable for students as well as for researchers who are looking for a hands on introduction into the strengths, weaknesses and opportunities of proteomics.
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