Описание: The many books that have been written on bioinformatics tend to fall on two extremes: books that feature computational details with a great deal of mathematics, for computational scientists and mathematicians, or books that treat bioinformatics mostly as a giant black box, for biologists. Previous books written on bioinformatics often have limited contribution to creating interdisciplinary scientists needed in modern biological and biomedical sciences.This book aims to render both mathematical equations and biology to numbers, to help truly interdisciplinary scientists. Although the book covers bioinformatics methods at a level more advanced than most other bioinformatics books, the extensive numerical illustration of these methods should make it accessible to most senior undergraduate students and graduate students majoring in science and software engineering. Nearly all algorithms in the book are implemented in a free and user-friendly computer program (DAMBE).
Автор: Mark Pagel; Andrew Pomiankowski Название: Evolutionary Genomics and Proteomics ISBN: 0878936548 ISBN-13(EAN): 9780878936540 Издательство: Springer Рейтинг: Цена: 6544 р. Наличие на складе: Поставка под заказ.
Описание: This text is a review of developments in the rapidly growing areas of genomics and proteomics, with particular emphasis on placing these fields in an evolutionary context. With a growing understanding of genes, their diversity and regulation, and how their products work together in networks of interacting elements, a new era of biology is emerging.
Описание: An encyclopedia that covers the basics and the developments in genomics, proteomics, genetic engineering, small RNAs, transcription factories, chromosome territories, stem cells, genetic networks, epigenetics, prions, hereditary diseases, and patents.
Автор: Suhai, Sandor Название: Genomics and Proteomics ISBN: 0306463121 ISBN-13(EAN): 9780306463129 Издательство: Springer Рейтинг: Цена: 14955 р. Наличие на складе: Поставка под заказ.
Описание: This work provides an interdisciplinary overview of genomics and proteomics, addressing experts in the field as well as experimental researchers interested in
the applications. Summarizing the results of research in this important and exciting area, in particular computational and experimental approaches to expression analysis, functional gene
identification, functional aspects of higher order DNA-structure, the relationship between protein sequence, structure and function, and genetic and medical aspects of genomics, the
book includes contributions from international experts.
Описание: The book highlights current applications of biomedical informatics, as well as advancements in genomics-proteomics areas. Structures and algorithms are used to analyze genomic data and develop computational solutions for pathological understanding. It will be useful to cross-disciplinary researchers and students.
Автор: Dubitzky Werner, Granzow Martin, Berrar Daniel P. Название: Fundamentals of Data Mining in Genomics and Proteomics ISBN: 0387475087 ISBN-13(EAN): 9780387475080 Издательство: Springer Рейтинг: Цена: 13980 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. Research and development in genomics and proteomics depend on the analysis and interpretation of large amounts of data generated by high-throughput techniques. To exploit data obtained from experimental and observational studies, life scientists need to understand the analytical techniques and methods from statistics and data mining. These techniques are not easily accessible to life scientists working on genomics and proteomics problems, as the available material is presented from a highly mathematical perspective, favoring formal rigor over conceptual clarity and assessment of practical relevance. This book addresses these issues by adopting an approach focusing on concepts and applications. It presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
Описание: Combines the basic methodology of genomics and proteomics with the applications of such technologies in understanding psychiatric illnesses. This book offers an introduction of basic methodologies in genomics and proteomics and their integration in psychiatry, sections related to methods and application of the advancing technologies, and more.
Описание: "very useful as a quick desk reference for students, professionals, and
Автор: Grandi Название: Genomics,Proteomics & Vaccines.2004 ISBN: 0470856165 ISBN-13(EAN): 9780470856161 Издательство: Wiley Рейтинг: Цена: 17922 р. Наличие на складе: Поставка под заказ.
Описание: While the sequence of the human genome sequence has hit the headlines, extensive exploitation of this for practical applications is still to come. Genomic and post-genomic technologies applied to viral and bacterial pathogens, which are almost equally important from a scientific perspective, have the potential to be translated into useful products and processes much more rapidly. Genomics, Proteomics and Vaccines introduces the history of vaccinology and discusses how vaccines are expected to evolve in the future. It describes the relevant technologies, including genome sequencing and analysis, DNA microarrays, 2D electrophoresis and 2D chromatography, mass spectrometry and high-throughput protein expression and purification. The book also features examples of the exploitation of genomics and post-genomics in vaccine discovery, and contains useful descriptions of the biology and pathogenesis of clinically important bacterial pathogens. This book should be of interest to all those working in vaccine discovery and development in pharmaceutical and biotechnology companies as well as in academic institutions
Описание: Suitable for engineers and scientists who have not studied molecular biology, genomics, and proteomics, and who are working with living systems, this title describes the complex biochemical relations that permit life to exist, highlighting the specialized organic molecules in living organism, and how they interact and react.
Описание: In the last decade DNA sequencing costs have decreased over a magnitude, largely because of increasing throughput by incremental advances in tools, technologies and process improvements. Further cost reductions in this and in related proteomics technologies are expected as a result of the development of new high-throughput techniques and the computational machinery needed to analyze data generated. Automation in Proteomics blueprint (DNA) to task list (RNA) to molecular machine (protein); proteomics methods and technologies; modelling protein networks and interactions analysis via automation: DNA sequencing; microarrays and other parallelization technologies; protein characterization and identification; protein interaction and gene regulatory networks design via automation: DNA synthesis; RNA by design; building protein libraries; synthetic networks integration: multiple modalities; computational and experimental methods; trends in automation for genomics and proteomics new enabling technologies and future applications Automation in Proteomics & Genomics: An Engineering Case-Based Approach is an essential guide to the current capabilities and challenges of high-throughput analysis of genes and proteins for bioinformaticians, engineers, chemists, and biologists interested in developing a cross-discipline problem-solving based approach to systems biology.
Автор: Dziuda, D.m. Название: Data mining for genomics and proteomics ISBN: 0470163739 ISBN-13(EAN): 9780470163733 Издательство: Wiley Рейтинг: Цена: 9086 р. Наличие на складе: Поставка под заказ.
Описание: Uses pragmatic examples and a case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. This title is suitable for students and professionals involved with gene or protein expression data in a variety of settings.
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