Computational Systems Biology in Medicine and Biotechnology, Cortassa
Автор: Snape Alison Название: Biochemistry and Molecular Biology, 5 edition ISBN: 0199609497 ISBN-13(EAN): 9780199609499 Издательство: Oxford Academ Рейтинг: Цена: 6651.00 р. Наличие на складе: Есть (1 шт.) Описание: The ideal text for any bioscience student encountering biochemistry and molecular cell biology for the first time. Exceptionally clear explanations, frequent diagrams, and a user-friendly design and layout ensure that the text provides a perfect introduction to this complex yet fascinating subject area.
Описание: The definitive text in cell biology now with the Digital Problems Book in Smartwork .
Автор: Aegerter Christof M. Название: Introductory Physics for Biological Scientists ISBN: 1108466508 ISBN-13(EAN): 9781108466509 Издательство: Cambridge Academ Рейтинг: Цена: 9979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An introduction to the fundamental physical principles related to the study of biological phenomena. Chapters are structured around biological examples, and the topics covered include waves, optics and mechanics. With quiz questions and a detailed appendix, it is perfect for students looking to develop their quantitative and analytical tools.
Описание: In studying biology, one of the more difficult factors to predict is how parents' attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.
Автор: Allmer Jens, Yousef Malik Название: Mirnomics: Microrna Biology and Computational Analysis ISBN: 1071611690 ISBN-13(EAN): 9781071611692 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition presents an up-to-date overview of the current state-of-the-art protocols and aims to miRNomics into a broader perspective. Chapters detail methods and techniques ranging from miRNA biogenesis, their biological function, computational analyses to their medical implications and applications. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader and tips on troubleshooting and avoiding known pitfalls. Authoritative and accessible, miRNomics: MicroRNA Biology and Computational Analysis, Second Edition ensures successful results in the further study of this vital field.
Описание: Designed as a comprehensive text for students and professionals pursuing careers in the fields of bioinformatics, molecular biology, pharmacy and drug research, the Fifth Edition continues to offer a fascinating and authoritative treatment of the entire spectrum of bioinformatics, covering a wide range of high-throughput technologies. The content can be used for four core courses: bioinformatics fundamentals, genomics, proteomics and drug discovery and design.
The Fifth Edition takes a completely new pedagogical approach and the book is divided into eight distinct Units for the ease of learning: Bioinformatics Fundamentals, Sequence Alignment, Phylogenetic Analysis, Genomics, Protein Structure and Function, Drug Discovery Methods, Drug Design and Development and Integrative Topics. Accordingly, all the chapters are revised and updated in the new edition, besides introduction of seven new chapters and another seven completely re-written chapters.
As a student-friendly text, it embodies several pedagogical features such as detailed examples, numerous tables, a large number of diagrams, flow charts and web resources. The book in its present edition should prove an invaluable asset to the students and researchers in the fields of bioinformatics, biotechnology, computer-aided drug design, information technology, medical diagnostics, molecular biology and pharmaceutical sciences.
New to the Fifth Edition
Re-written chapters — Biological database search and data retrieval, Pair-wise alignment of sequences, PSSMs and Hidden Markov Models, Gene Mapping, Gene Prediction, Protein Structure Overview and Protein Structure Prediction.
Inclusion of new chapters—Scoring Matrices, Gene Sequencing, Regulatory Elements Prediction, Comparative Genomics, Protein Structure Databases, Protein Function Prediction and Potential Drug Targets.
Key Features
Covers the field of bioinformatics in a complete and integrated approach – moving from the fundamentals to theory and practical applications.
State-of-the-art technologies for gene identification, molecular modeling and monitoring of cellular processes.
Data mining, data curation and analysis, classification, interpretation and efficient structure determination of genomes and proteomes.
Companion website provides useful resources for the teachers as well as for the students. So, visit Learning Centre https://www.phindia.com/bioinformatics_mendiratta_rastogi to have access of Lecture notes, solutions manual, MCQs, problems set for practice, glossary of important terms, etc.
Описание: This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
Автор: Wong, Ka-Chun Название: Computational Biology and Bioinformatics ISBN: 0367782979 ISBN-13(EAN): 9780367782979 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Поставка под заказ.
Описание: This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.
Автор: Cortassa Название: Computational Systems Biology in Medicine and Biotechnology ISBN: 107161830X ISBN-13(EAN): 9781071618301 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and complex dynamics; and genome scale metabolic modeling in biotechnology. In every chapter, readers will find varied methodological approaches applied at different levels, from molecular, cellular, organ to organisms, genome to phenome, and health and disease. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics; criteria utilized for applying specific methodologies; lists of the necessary materials, reagents, software, databases, algorithms, mathematical models, and dedicated analytical procedures; step-by-step, readily reproducible laboratory, bioinformatics, and computational protocols all delivered in didactic and clear style and abundantly illustrated with express case studies and tutorials; and tips on troubleshooting and advice for achieving reproducibility while avoiding mistakes and misinterpretations. The overarching goal driving this volume is to excite the expert and stimulate the newcomer to the field of Computational Systems Biology. Cutting-edge and authoritative, Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols is a valuable resource for pre- and post-graduate students in medicine and biotechnology, and in diverse areas ranging from microbiology to cellular and organismal biology, as well as computational and experimental biologists, and researchers interested in utilizing comprehensive systems biology oriented methods.
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