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.
Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Автор: Gulshan Wadhwa; P. Shanmughavel; Atul Kumar Singh; Название: Current trends in Bioinformatics: An Insight ISBN: 9811339554 ISBN-13(EAN): 9789811339554 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Поставка под заказ.
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: Bhanu Bir, Talbot Prue Название: Video Bioinformatics: From Live Imaging to Knowledge ISBN: 3319795260 ISBN-13(EAN): 9783319795263 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This unique text/reference presents a selection of innovative computational techniques to enable the efficient analysis of biological processes in large video sequences and databases. Examples are drawn from numerous topics of significant current interest, such as 2D/3D live imaging, mild-traumatic brain injury, human embryonic stem cells, the growth of pollen tubes, cell tracking, and cell trafficking. To address various challenges, multiple imaging modalities are proposed at varying spatial and temporal resolutions, in conjunction with novel computational methods for video mining and knowledge discovery.
Topics and features: provides a detailed introduction to the field of video bioinformatics; examines the analysis and visualization of injured brain tissue in rodent models, using magnetic resonance imaging and optical coherence tomography; discusses segmentation of stem cell colonies and analysis of individual stem cells; describes the application of commercially available software to solve problems in video bioinformatics related to stem cell behavior in vitro; reviews video bioinformatics problems and solutions in plant and fungus biology; presents a high throughput method for quantifying DNA damage in cells, and a method that uses optogenetics to regulate protein transport in cultured cells; surveys the various software tools and databases available for use with video bioinformatics problems.
This pioneering volume is essential reading on the emerging, interdisciplinary field of video bioinformatics. The text will be of great benefit to researchers and graduate students from a wide range of different areas, including bioinformatics, bioengineering, plant sciences, cell, molecular and developmental biology, genetics and genomics.
Название: Structural bioinformatics ISBN: 0470181052 ISBN-13(EAN): 9780470181058 Издательство: Wiley Рейтинг: Цена: 18208.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure.
Автор: by Nenad Filipovic Название: Computational Bioengineering and Bioinformatics ISBN: 3030436578 ISBN-13(EAN): 9783030436575 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle.- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs.- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems.- Chapter 4: Effect of hip implant surface modification on shear stress distribution.- Chapter 5: Medical Image Processing using Xilinx System Generator.- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.
Описание: This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular, cellular and evolutionary biology.
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: Ronnie Alves Название: Advances in Bioinformatics and Computational Biology ISBN: 3030017214 ISBN-13(EAN): 9783030017217 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th Brazilian Symposium on Bioinformatics, BSB 2018, held in Rio de Janeiro, Brazil, in October/November 2018. The 13 revised full papers presented were carefully reviewed and selected from 26 submissions. The papers cover all aspects of bioinformatics and computational biology.
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.
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.
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.
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