Автор: Artur Lesk Название: Introduction to Bioinformatics, 5 ed.- Oxford University Press, 2019 ISBN 9780198794141 ISBN: 0198794142 ISBN-13(EAN): 9780198794141 Издательство: Oxford Academ Рейтинг: Цена: 59130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Active, accessible, and assuming no prior knowledge: the ideal text for biologists encountering bioinformatics for the first time.
Название: Bioinformatics Basics ISBN: 0367392593 ISBN-13(EAN): 9780367392598 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Нет в наличии. Описание:
Every researcher in genomics and proteomics now has access to public domain databases containing literally billions of data entries. However, without the right analytical tools, and an understanding of the biological significance of the data, cataloging and interpreting the molecular evolutionary processes buried in those databases is difficult, if not impossible.
The first editon of Bioinformatics Basics: Applications in Biological Science and Medicine answered the scientific community's need to learn about the bioinformatic tools available to them. That the book continues to be a best seller clearly demonstrates the authors' ability to provide scientists with the understanding to apply those tools to their research. Currently, it is being used as a reference text at MIT and other prestigious institutions.
Recognizing the important advances in bioinformatices since their last edition, Buehler and Rashidi have produced a completely revised and updated version of their pioneering work. To allow scientists to utilize significant databases from around the world, the authors consider some fresh approaches to data analysis while identifying computing techniques that will help them manage the massive flow of information their science requires.
New to the second edition:
Provides a more detailed view of the field while continuing to focus on the global concept approach that popularized the first edition.
Offers the latest approaches to data analysis
Introduces recent developments in genomics, microarrays, proteomics, genome mapping, and more.
Adds two new sections offering insights from other experts in bioinformatics.
Bioinformatics Basics is not intended to serve as a training manual for bioinformaticians. Instead, it's designed to help the general scientific community gain a thorough understanding of what bioinformatics tools are ava
Автор: Hu Название: Engineering Fundamentals of Biotechnology ISBN: 1119159024 ISBN-13(EAN): 9781119159025 Издательство: Wiley Рейтинг: Цена: 98150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a short introduction to the engineering principles of harnessing the vast potential of microorganisms, and animal and plant cells in making biochemical products. It was written for scientists who have no background in engineering, and for engineers with minimal background in biology. The overall subject dealt with is process.
Автор: Rosner, Bernard Название: Fundamentals of Biostatistics, 8 ed. ISBN: 130526892X ISBN-13(EAN): 9781305268920 Издательство: Cengage Learning Рейтинг: Цена: 150040.00 T Наличие на складе: Есть в Астана (Нур-Султан) Описание: FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
Автор: Ingvar Eidhammer Название: Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis ISBN: 0470848391 ISBN-13(EAN): 9780470848395 Издательство: Wiley Рейтинг: Цена: 81260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.
Автор: Nikolay Kolchanov; Ralf Hofestaedt Название: Bioinformatics of Genome Regulation and Structure ISBN: 147574613X ISBN-13(EAN): 9781475746136 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: - The data gathered can be used to solve a wide range of problems - for basic science and applied science
Автор: Rune Matthiesen Название: Bioinformatics Methods in Clinical Research ISBN: 1617796700 ISBN-13(EAN): 9781617796708 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covering the latest developments in clinical omics, this volume details the algorithms currently used in publicly available software tools. It looks at statistics, algorithms, automated data retrieval, and experimental consideration in the various omics areas.
Автор: Simon J. Hubbard; Andrew R. Jones Название: Proteome Bioinformatics ISBN: 1617796808 ISBN-13(EAN): 9781617796807 Издательство: Springer Рейтинг: Цена: 135090.00 T 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: Warren J. Ewens; Gregory R. Grant Название: Statistical Methods in Bioinformatics ISBN: 1441923020 ISBN-13(EAN): 9781441923028 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community.
This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods.
The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized.
The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text.
Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science.
Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999.
Comments on the First Edition. "This book would be an ideal text for a postgraduate course... and] is equally well suited to individual study.... I would recommend the book highly" (Biometrics). "Ewens and Grant have given us a very welcome introduction to what is behind those pretty graphical user] interfaces" (Naturwissenschaften.). "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details" (Journal. American Staistical. Association). "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book" (Metrika).
Автор: Liwo Adam Название: Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes: From Bioinformatics to Molecular Quantum Mechani ISBN: 3319958429 ISBN-13(EAN): 9783319958422 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive overview of modern computer-based techniques for analyzing the structure, properties and dynamics of biomolecules and biomolecular processes. It is organized in four main parts; the first one deals with methodology of molecular simulations; the second one with applications of molecular simulations; the third one introduces bioinformatics methods and the use of experimental information in molecular simulations; the last part reports on selected applications of molecular quantum mechanics. This second edition has been thoroughly revised and updated to include the latest progresses made in the respective field of research.
Автор: Wadhwa, Gulshan. Название: Current trends in bioinformatics : ISBN: 981107481X ISBN-13(EAN): 9789811074813 Издательство: Springer Рейтинг: Цена: 139750.00 T 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: 279500.00 T 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.
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