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: 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: 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: Picardi Ernesto Название: RNA Bioinformatics ISBN: 1071613065 ISBN-13(EAN): 9781071613061 Издательство: Springer 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 discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
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: Kavi Kishor P.B.; Rajib Bandopadhyay; Prashanth Su Название: Agricultural Bioinformatics ISBN: 8132234863 ISBN-13(EAN): 9788132234869 Издательство: Springer Рейтинг: Цена: 25155.00 р. 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: 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: 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: Marshall Christina Название: Recent Advances in Bioinformatics ISBN: 1682866742 ISBN-13(EAN): 9781682866740 Издательство: Неизвестно Рейтинг: Цена: 24460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Cathy H. Wu; Chuming Chen Название: Bioinformatics for Comparative Proteomics ISBN: 1493957902 ISBN-13(EAN): 9781493957903 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers bioinformatics frameworks relating to comparative proteomics, bioinformatics databases and tools for proteomics data analysis, and integrated systems and approaches to studying comparative proteomics in the systems biology context.
Автор: Florencio Pazos; M?nica Chagoyen Название: Practical Protein Bioinformatics ISBN: 3319381849 ISBN-13(EAN): 9783319381848 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
INTRODUCTION
1. SEQUENCES - INTRODUCTION - REPRESENTING PROTEIN SEQUENCES IN THE COMPUTER Sequence file formats Sequence format conversion tools MAIN PROTEIN SEQUENCE DATABASES BASIC SEQUENCE-BASED CHARACTERISTICS COMPARE TWO PROTEIN SEQUENCES Types of pair-wise sequence alignments FINDING SIMILAR SEQUENCES IN A DATABASE (BASIC) Which sequence database to search? BLAST COMPARE MORE THAN TWO SEQUENCES Multiple Sequence Alignments: Formats and Conversion Alignment editing and representation Summarizing MSAs FINDING SIMILAR SEQUENCES IN A DATABASE (ADVANCED) Sequence profiles Iterative profile construction HMM profile search against a sequence database HMM profile search against a profile database PROTEIN MOTIFS, DOMAINS AND FAMILIES BASIC PHYLOGENY
2. STRUCTURES INTRODUCTION Storing protein structures - The PDB file format MAIN PROTEIN STRUCTURE DATABASES Classifications of structural domains STRUCTURE MANIPULATION, VISUALIZATION AND COMPARISON Structure Manipulation and Visualization Structure Comparison PREDICTION OF 1D STRUCTURAL FEATURES Secondary structure and solvent accessibility Transmembrane segments Coiled-coils Disordered regions Protein sorting signals PREDICTING PROTEIN 3D STRUCTURE Template-based (homology-based approaches) Template-based (fragment-based approaches) Model quality checks ANALYSIS OF PROTEIN STRUCTURE Mapping conservation Protein and ligand contacts Surface clefts, binding pockets, tunnels and internal cavities
3. SYSTEMS INTRODUCTION Protein/gene functional annotations ID conversions ANNOTATION ENRICHMENT ANALYSIS OF LARGE PROTEINS SETS PROTEIN INTERACTION NETWORKS METABOLIC NETWORKS Retrieve the metabolic-related information associated to a protein of interest Map a large set of proteins in the metabolome OTHER BIOLOGICAL NETWORKS
BIBLIOGRAPHY
HOW TO
TOOLS INDEX
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