Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Lesk Название: Introduction to Bioinformatics ISBN: 0199277877 ISBN-13(EAN): 9780199277872 Издательство: Oxford Academ Цена: 26390.00 T 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.
Автор: Lesk Arthur Название: Introduction to Bioinformatics ISBN: 0199651566 ISBN-13(EAN): 9780199651566 Издательство: Oxford Academ Рейтинг: Цена: 41170.00 T Наличие на складе: Невозможна поставка. Описание: Introduction to Bioinformatics provides friendly guidance and advice on how to use a range of computational methods and techniques for retrieving and analysing biological data. The book is ideal for those new to the subject, with frequent self-test problems and exercises incorporated throughout the text to encourage self-directed learning.
Автор: Andreas D. Baxevanis Название: Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, 3rd Edition ISBN: 0471478784 ISBN-13(EAN): 9780471478782 Издательство: Wiley Рейтинг: Цена: 109830.00 T Наличие на складе: Поставка под заказ. Описание: Covers key concepts in bioinformatics, from databases to predictive and comparative algorithms. This book features: chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification.
Автор: Gibas, Cynthia Название: Developing Bioinformatics Computer Skills ISBN: 1565926641 ISBN-13(EAN): 9781565926646 Издательство: Wiley Рейтинг: Цена: 47510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The application of computational and analytical methods to biological problems is a rapidly evolving scientific discipline. This book is designed to help any biologist develop a structured approach to data, as well as provide the tools they`ll need to analyze it.
Автор: Forsdyke, Donald R. Название: Evolutionary bioinformatics / ISBN: 3319287532 ISBN-13(EAN): 9783319287539 Издательство: Springer Рейтинг: Цена: 177010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people.
Автор: Leck Название: Introduction to Bioinformatics ISBN: 0199251967 ISBN-13(EAN): 9780199251964 Издательство: Oxford Academ Цена: 16890.00 T Наличие на складе: Невозможна поставка. Описание: opsis<> Bioinformatics is the collective name for a set of skills that has now become arguably one of the most important information-gathering and knowledge-building tools in current science research. The increase in the reliance upon bioinformatics in research has made it essential for training in these skills to become an integral part of current science education. This textbook provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science. Its aim is to generate an understanding of the biological background of bioinformatics, and to integrate this with an introduction to the use of computational skills. Without describing computer science or sophisticated programming skills in detail, the book aims to support and encourage the application of the many powerful computational tools of bioinformatics in a way that is both relevant to and stimulating for the reader.
Автор: Higgins Название: Bioinformatics.2000 ISBN: 0199637903 ISBN-13(EAN): 9780199637904 Издательство: Oxford Academ Рейтинг: Цена: 77090.00 T Наличие на складе: Невозможна поставка. Описание: Bioinformatics covers a range of important topics to users of modern bioinformatics techniques including analysis of structures as well as sequences.
Автор: M. H. Fulekar Название: Bioinformatics ISBN: 9048180163 ISBN-13(EAN): 9789048180165 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides broad coverage of bioinformatics. It details both introductory and advanced aspects, including applications of various documented research work and specific case studies related to bioinformatics.
Автор: Andrzej Polanski; Marek Kimmel Название: Bioinformatics ISBN: 3642063322 ISBN-13(EAN): 9783642063329 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.
Автор: Kavi Kishor P.B.; Rajib Bandopadhyay; Prashanth Su Название: Agricultural Bioinformatics ISBN: 8132234863 ISBN-13(EAN): 9788132234869 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.
Автор: Ying Xu; Juan Cui; David Puett Название: Cancer Bioinformatics ISBN: 1493943030 ISBN-13(EAN): 9781493943036 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics.
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