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: 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: 15625 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: 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: 10043 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.
Автор: Samaj Jozef, Thelen Jay Название: Plant Proteomics ISBN: 3540726160 ISBN-13(EAN): 9783540726166 Издательство: Springer Рейтинг: Цена: 23931 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proteomics is the large-scale functional analysis of proteins extracted from intact organisms, tissues, individual cells, or cell compartments, at defined timepoints during development or under specific conditions.Plant Proteomics highlights the rapid progress in this field in plants, with emphasis on recent work in model plant species, subcellular organelles, and specific aspects of the plant life cycle such as signalling, reproduction and stress physiology. Diverse integrated approaches, including advanced proteomic techniques combined with functional genomics, bioinformatics, metabolomics and molecular cell biology, are presented in several chapters, making this book a valuable resource for a broad spectrum of readers ranging from teachers and advanced students to researchers.
Автор: Finnie Christine, Neidhardt C. Frederick, Ingraham Название: Plant Proteomics ISBN: 1405144297 ISBN-13(EAN): 9781405144292 Издательство: Wiley Рейтинг: Цена: 21368 р. Наличие на складе: Поставка под заказ.
Описание: A broad overview of one of the most fashionable current topics in plant science Highlights the ways in which proteome analysis has been used to probe the complexities of plant biochemistry and physiology Chapters are organised by biological function.
Описание: Introduces the different analytical strategies developed and successfully utilized to study organelle proteomes. This book details the use of multidimensional liquid chromatography coupled to tandem mass spectrometry for peptide sample analysis. It addresses the use of transcriptomic data to identify genes potentially encoding organelle proteomes.
Автор: Mark Pagel; Andrew Pomiankowski Название: Evolutionary Genomics and Proteomics ISBN: 0878936548 ISBN-13(EAN): 9780878936540 Издательство: Springer Рейтинг: Цена: 7314 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: 16715 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.
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