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Author: Namrata Tomar
Publisher: Humana
ISBN: 9781071603918
Category : Medical
Languages : en
Pages : 409
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Book Description
This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.
Author: Namrata Tomar
Publisher: Humana
ISBN: 9781071603918
Category : Medical
Languages : en
Pages : 409
Get Book Here
Book Description
This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab. Authoritative and practical, Immunoinformatics, Third Edition serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology.
Author: Gregory R. Bock
Publisher: John Wiley & Sons
ISBN: 0470090758
Category : Medical
Languages : en
Pages : 272
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Book Description
The astounding diversity of the immune system and the complexity of its regulatory pathways makes immunology a combinatorial science. Computational analysis has therefore become an essential element of immunology research and this has led to the creation of the emerging field of immunoinformatics. This book is the first to feature thorough coverage of this new field. Immunoinformatics facilitates the understanding of immune function by modelling the interactions among immunological components. Biological research provides ever deeper insights into the complexity of living organisms while computer science provides an effective means to store and analyse large volumes of complex data. Combining the two fields increases the efficiency of biological research and offers the potential for major advances in the study of biological systems. This book encompasses key developments in immunoinformatics, including immunological databases, sequence analysis, structure modelling, mathematical modelling of the immune system, simulation of laboratory experiments, statistical support for immunological experimentation and immunogenomics. The difficulties in effective application of bioinformatic tools in immunology arise at both ends of the spectrum: most immunologists have only a limited comprehension of sophisticated data analysis and applicability and limitations, while the average computer scientist lacks knowledge of the depth and complexity of biological data. The purpose of this book, therefore, is to present contributions from a multidisciplinary team of biologists and computer scientists to explore the issues related to better understanding of immune function and, in particular, to help apply new computer science methods to immunological research. Related Novartis Foundation symposia: 247 In Silico Simulation of Biological Processes Chair: Denis Noble 252 Generation and effector functions of regulatory lymphocytes Chair: Jean-François Bach
Author: Darren R. Flower
Publisher: Springer Science & Business Media
ISBN: 160327118X
Category : Science
Languages : en
Pages : 436
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Book Description
This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume.
Author: Christian Schönbach
Publisher: Springer Science & Business Media
ISBN: 0387729682
Category : Medical
Languages : en
Pages : 216
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Book Description
In contrast to existing books on immunoinformatics, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, and many other disciplines.
Author: Nima Rezaei
Publisher: Academic Press
ISBN: 0128224304
Category : Medical
Languages : en
Pages : 284
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Book Description
Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools, R programming and useful packages, and present the foundations of machine learning. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, along with practical details on how computational and biological approaches can best be integrated.This book provides readers with practical computational knowledge and techniques, including programming, and machine learning, enabling them to understand and pursue the immunological aspects of malignancies. Presents the knowledge researchers need to apply computational techniques to immunodeficiencies Provides the most practical material for bioinformatics approaches to the immunology of cancers Gives straightforward and efficient explanations of programming and machine learning approaches in R Includes details of the most useful databases, tools, programming packages and algorithms for immunoinformatics Illuminates clear explanations with practical examples of immunoinformatic approaches to cancer
Author: Darren D.R. Flower
Publisher: Springer
ISBN: 1441905405
Category : Medical
Languages : en
Pages : 201
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Book Description
Like many words, the term “immunomics” equates to different ideas contingent on context. For a brief span, immunomics meant the study of the Immunome, of which there were, in turn, several different definitions. A now largely defunct meaning rendered the Immunome as the set of antigenic peptides or immunogenic proteins within a single microorganism – be that virus, bacteria, fungus, or parasite – or microbial population, or antigenic or allergenic proteins and peptides derived from the environment as a whole, containing also proteins from eukaryotic sources. However, times have changed and the meaning of immunomics has also changed. Other newer definitions of the Immunome have come to focus on the plethora of immunological receptors and accessory molecules that comprise the host immune arsenal. Today, Immunomics or immunogenomics is now most often used as a synonym for high-throughput genome-based immunology. This is the study of aspects of the immune system using high-throughput techniques within a conc- tual landscape borne of both clinical and biophysical thinking.
Author: Joo Chuan Tong
Publisher: Elsevier
ISBN: 1908818417
Category : Medical
Languages : en
Pages : 164
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Book Description
Computational pre-screening of antigens is now routinely applied to the discovery of vaccine candidates.Computer-aided vaccine design is a comprehensive introduction to this exciting field of study. The book is intended to be a textbook for researchers and for courses in bioinformatics, as well as a laboratory reference guide. It is written mainly for biologists who want to understand the current methods of computer-aided vaccine design. The contents are designed to help biologists appreciate the underlying concepts and algorithms used, as well as limitations of the methods and strategies for their use. Chapters include: MHC and T cell responses; Immunoglobulins and B cell responses; Scientific publications and databases; Database design; Computational T cell vaccine design; Computational B cell vaccine design; infectious disease informatics; Vaccine safety and quality assessments; and Vaccine adjuvant informatics. - Essential reading for any biologist who wants to understand methods of computer-aided vaccine design - Description of available data sources and publicly available software, with detailed analysis of strengths and weaknesses - Theoretical concepts and practical examples of database design and development for a virtual screening campaign
Author: Qing Yan
Publisher: Academic Press
ISBN: 0128043881
Category : Computers
Languages : en
Pages : 184
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Book Description
Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field
Author: Sukanta Mondal
Publisher: Academic Press
ISBN: 0128206128
Category : Science
Languages : en
Pages : 340
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Book Description
Advances in Animal Genomics provides an outstanding collection of integrated strategies involving traditional and modern - omics (structural, functional, comparative and epigenomics) approaches and genomics-assisted breeding methods which animal biotechnologists can utilize to dissect and decode the molecular and gene regulatory networks involved in the complex quantitative yield and stress tolerance traits in livestock. Written by international experts on animal genomics, this book explores the recent advances in high-throughput, next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches which have enabled to produce huge genomic and transcriptomic resources globally on a genome-wide scale. This book is an important resource for researchers, students, educators and professionals in agriculture, veterinary and biotechnology sciences that enables them to solve problems regarding sustainable development with the help of current innovative biotechnologies. Integrates basic and advanced concepts of animal biotechnology and presents future developments Describes current high-throughput next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches for sustainable livestock production Illustrates integrated strategies to dissect and decode the molecular and gene regulatory networks involved in complex quantitative yield and stress tolerance traits in livestock Ensures readers will gain a strong grasp of biotechnology for sustainable livestock production with its well-illustrated discussion
Author: Josep Bassaganya-Riera
Publisher: Academic Press
ISBN: 0128037156
Category : Medical
Languages : en
Pages : 212
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Book Description
Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. Offers case studies with different levels of complexity Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting
