Автор: Shivakumar Keerthikumar; Suresh Mathivanan Название: Proteome Bioinformatics ISBN: 149396738X ISBN-13(EAN): 9781493967384 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure. The most recent proteomic resources widely used in the biomedical scientific community for storage and dissemination of data are discussed. In addition, specific MS/MS spectrum similarity scoring functions and their application in the field of proteomics, statistical evaluation of labeled comparative proteomics using permutation testing, and methods of phylogenetic analysis using MS data are also described in detail. Written for the highly successful Methods in Molecular Biology series, chapters contain the kind of detail and key implementation advice to ensure successful results.
Authoritative and cutting-edge, Proteome Bioinformatics serves as a useful resource for researchers who are beginners as well as advanced investigators in the field of proteomics.
Автор: Simon J. Hubbard; Andrew R. Jones Название: Proteome Bioinformatics ISBN: 160761443X ISBN-13(EAN): 9781607614432 Издательство: Springer Рейтинг: Цена: 17684.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book probes the fluid field of proteomics, offering review and methodology chapters that address the fundamentals of analysis methods, algorithms, data standards and databases. Topics covered include a wide range of data analysis and management problems.
Автор: Simon J. Hubbard; Andrew R. Jones Название: Proteome Bioinformatics ISBN: 1617796808 ISBN-13(EAN): 9781617796807 Издательство: Springer Рейтинг: Цена: 17684.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book probes the fluid field of proteomics, offering review and methodology chapters that address the fundamentals of analysis methods, algorithms, data standards and databases. Topics covered include a wide range of data analysis and management problems.
Автор: M.R. Wilkins; R.D. Appel; K.L. Williams; D.F. Hoch Название: Proteome Research ISBN: 3642441653 ISBN-13(EAN): 9783642441653 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This clearly written book provides a clear conceptual description of each facet of proteomics. It describes recent advances in technology and thinking in each area, and provides details of how these have been applied to a variety of biological problems.
Автор: Peter James Название: Proteome Research: Mass Spectrometry ISBN: 3540672559 ISBN-13(EAN): 9783540672555 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advances in large scale DNA sequencing technology have made it possible to sequence the entire genome of an organism. Mass spectrometry is the method of choice for the rapid large-scale identification of these proteomes and their modifications.
Автор: Alex J. Rai Название: The Urinary Proteome ISBN: 1607617102 ISBN-13(EAN): 9781607617105 Издательство: Springer Рейтинг: Цена: 20123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Urine is one of the most easily accessible biological samples, and it provides a treasure trove of molecules essential for clinical diagnostics. This title reviews the urine tests that are performed in the clinical laboratory, and then covers the methods for proteomic analysis using urine specimens.
Автор: Wadhwa, Gulshan. Название: Current trends in bioinformatics : ISBN: 981107481X ISBN-13(EAN): 9789811074813 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Нет в наличии.
Описание: This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories.
Автор: J. Rigden, Daniel (Ed.) Название: From Protein Structure to Function with Bioinformatics ISBN: 9402414827 ISBN-13(EAN): 9789402414820 Издательство: Springer Рейтинг: Цена: 36589.00 р. Наличие на складе: Нет в наличии.
Описание: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.
Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Автор: Lesk Название: Introduction to Bioinformatics ISBN: 0199277877 ISBN-13(EAN): 9780199277872 Издательство: Oxford Academ Цена: 4420.00 р. Наличие на складе: Поставка под заказ.
Описание: Introduces the student to the power of bioinformatics as a set of scientific tools. This book explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer - how to make inferences from the data archives, to make connections among them, and to derive useful and interesting predictions.
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