Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Автор: Bujnicki Janusz M. Название: Practical Bioinformatics ISBN: 3540206132 ISBN-13(EAN): 9783540206132 Издательство: Springer Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is unique in that. It bridges the gap between bioinformaticists and molecular biologists, i.e. the developers and the users of computational methods for biological data analysis and in that it presents examples of practical applications of the bioinformatics tools in the "daily practice" of an experimental research scientist. The book starts with reviews on computational methods for protein sequence-structure-function analysis (sequence studies, structure prediction), followed by methods that explicitly utilize experimental data routinely obtained in the laboratory to improve the functional predictions. The second part comprises a series of examples on how particular applications of different types of bioinformatics methods in combination with experimental studies to validate the hypotheses have led to important scientific discoveries. Therefore, the book is a guide to application of bioinformatics methods in molecular biology, addressed mainly to the research scientists, postdocs, and advanced graduate students.
Автор: Forsdyke, Donald R. Название: Evolutionary bioinformatics / ISBN: 3319287532 ISBN-13(EAN): 9783319287539 Издательство: Springer Рейтинг: Цена: 26552.00 р. 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: H.-W. Mewes; H. Seidel; B. Weiss Название: Bioinformatics and Genome Analysis ISBN: 3662047497 ISBN-13(EAN): 9783662047491 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is emerging as a field with ever-increasing promise, ur- gency, and necessity. All three of these facets can be seen in the con- text of the recent sequencing of the human genome. The creation of a novel algorithm for the assembly of whole genome shotgun data sets accelerated the project and resulted in its near completion in 2001. The urgency became apparent with the landslide of data that ensued and the realization that current databases and tool sets are not up to the task. Finally, the necessity of bioinformatics as a facet of molecular biologi- cal research becomes evident in the impossibility of individual human comprehension of all the details of the functioning of a cell at the mo- lecular level, especially now that we stand on the edge of this preci- pice. We find ourselves at a time when we have the essentially complete genomes of human and mouse, and the completed sequences of Droso- phila melanogaster, Caenorhabditis elegans, several fungi including Saccharomyces cerevisiae, and many bacteria including Escherichia coli. There are volumes of mRNA expression data sets, high-density maps of highly variable SNPs for both human and mouse, physical marker maps for many other important agricultural and drug trial ani- mals, and a complete knock-out survey of yeast. In addition, the se- quencing of D. pseudoobscura and Caenorhabditis briggsae in the near future will provide unusual comparative genomic insights.
Описание: Understanding the functions and properties of molecules in living systems requires a detailed knowledge of their three-dimensional structures and the conformational variability that allows them to adopt multiple functional forms. Interpreting biological systems in the language of three-dimensional structures is of fundamental importance and innumerable research groups around the world are working in this area. This book is a compilation of articles describing attempts at understanding the intricacies of biological systems through the structures of and interactions between their constituent molecules.
Автор: Picardi Ernesto Название: RNA Bioinformatics ISBN: 107161309X ISBN-13(EAN): 9781071613092 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This detailed book aims to provide an overview of novel bioinformatics resources for exploring diverse aspects of RNA biology. This edition focuses on methods dealing with non-coding RNA (miRNAs, circRNAs or lncRNAs), RNA modifications (m6A or RNA editing), single cell RNA-seq and statistical models to handle count data from RNA-seq experiments.
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: J. Rigden, Daniel (Ed.) Название: From Protein Structure to Function with Bioinformatics ISBN: 9402414827 ISBN-13(EAN): 9789402414820 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
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.
Автор: Lesk Название: Introduction to Bioinformatics ISBN: 0199277877 ISBN-13(EAN): 9780199277872 Издательство: Oxford Academ Цена: 3958.00 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.
Автор: Syed Ibrahim Название: Bioinformatics - A Student`s Companion ISBN: 9811018561 ISBN-13(EAN): 9789811018565 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This manual offers a stand-alone reading companion, unique in simplifying the practical components of Bioinformatics in a unique and user-friendly manner. Despite the richness of bioinformatics resources and methods, the exposure of life sciences undergraduates and postgraduates to bioinformatics is extremely limited.
Автор: Altman Russ B Et Al Название: Biocomputing 2017 - Proceedings Of The Pacific Symposium ISBN: 9813207809 ISBN-13(EAN): 9789813207806 Издательство: World Scientific Publishing Цена: 25978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Pacific Symposium on Biocomputing (PSB) 2017 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2017 will be held on January 4 - 8, 2017 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.
PSB 2017 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.
The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
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