Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. 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: Wang Xiaoming, Tedford Richard H. Название: Dogs: Their Fossil Relatives and Evolutionary History ISBN: 0231135297 ISBN-13(EAN): 9780231135290 Издательство: Wiley Рейтинг: Цена: 3485.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Xiaoming Wang and Richard H. Tedford have spent the past 20 years studying the evolutionary history of the family Canidae. Both are well known for having established the modern framework for the evolutionary relationship of canids. Combining their research with Mauricio AntA3n's impeccable reconstructions of both extinct and extant species, Wang and Tedford present a remarkably detailed and nuanced portrait of the origin and evolution of canids over the past 40 million years.
The authors cull their history from the most recent scientific research conducted on the vast collections of the American Museum of Natural History and other leading institutions. The fossil record of the Canidae, particularly those from their birth place in North America, are the strongest of their kind among known groups of carnivorans. Such a wonderfully detailed evolutionary history provides access to a natural history that is not possible with many other groups of carnivorans.
With their rich fossil record, diverse adaptations to various environments, and different predatory specializations, canids are an ideal model organism for the mapping of predator behavior and morphological specializations. They also offer an excellent contrast to felids, which remain entrenched in extreme predatory specializations. The innovative illustrated approach in this book is the perfect accompaniment to an extremely important branch of animal and fossil study. It transforms the science of paleontology into a thrilling visual experience and provides an unprecedented reference for anyone fascinated by dogs.
Автор: Branton Daniel, Deamer David Название: Nanopore Sequencing: An Introduction ISBN: 9813270608 ISBN-13(EAN): 9789813270602 Издательство: Marston Book Services Рейтинг: Цена: от 4792.00 р. Наличие на складе: Есть
Описание:
This is an introductory text and laboratory manual to be used primarily in undergraduate courses. It is also useful for graduate students and research scientists who require an introduction to the theory and methods of nanopore sequencing. The book has clear explanations of the principles of this emerging technology, together with instructional material written by experts that describes how to use a MinION nanopore instrument for sequencing in research or the classroom.
At Harvard University the book serves as a textbook and lab manual for a university laboratory course designed to intensify the intellectual experience of incoming undergraduates while exploring biology as a field of concentration. Nanopore sequencing is an ideal topic as a path to encourage students about the range of courses they will take in Biology by pre-emptively addressing the complaint about having to take a course in Physics or Maths while majoring in Biology. The book addresses this complaint by concretely demonstrating the range of topics -- from electricity to biochemistry, protein structure, molecular engineering, and informatics -- that a student will have to master in subsequent courses if he or she is to become a scientist who truly understands what his or her biology instrument is measuring when investigating biological phenomena.
Автор: Jonathan Pevsner Название: Bioinformatics and Functional Genomics ISBN: 1118581784 ISBN-13(EAN): 9781118581780 Издательство: Wiley Рейтинг: Цена: 17733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The bestselling introduction to bioinformatics and genomics now in its third edition Widely received in its previous editions, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline.
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.
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.
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: 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.
Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.
Автор: Donald R. Forsdyke Название: Evolutionary Bioinformatics ISBN: 1489981713 ISBN-13(EAN): 9781489981714 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Where most books on bioinformatics still serve gene-hunting biologists, this revised second edition takes a different approach that eschews tidy `family trees` in favor of `non-genic` areas of bioinformatics, such as exploring genomes as information channels.
Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
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