Immunological Bioinformatics

Author : Ole Lund,Morten Nielsen,Claus Lundegaard,Can Kesmir,Søren Brunak
Publisher : MIT Press
Page : 335 pages
File Size : 46,6 Mb
Release : 2024-02-06
Category : Computers
ISBN : 9780262551120

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Immunological Bioinformatics by Ole Lund,Morten Nielsen,Claus Lundegaard,Can Kesmir,Søren Brunak Pdf

Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer. In a broader perspective, specialized bioinformatics methods in immunology make possible for the first time a systems-level understanding of the immune system. The traditional approaches to immunology are reductionist, avoiding complexity but providing detailed knowledge of a single event, cell, or molecular entity. Today, a variety of experimental bioinformatics techniques connected to the sequencing of the human genome provides a sound scientific basis for a comprehensive description of the complex immunological processes. This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful for immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes.

Author : Darren D.R. Flower,Matthew Davies,Shoba Ranganathan
Publisher : Springer
Page : 192 pages
File Size : 44,6 Mb
Release : 2009-10-03
Category : Medical
ISBN : 9781441905406

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Bioinformatics for Immunomics by Darren D.R. Flower,Matthew Davies,Shoba Ranganathan Pdf

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 : Anonim
Publisher : Unknown
Page : 296 pages
File Size : 43,7 Mb
Release : 2005
Category : Bioinformatics
ISBN : 0262323338

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Immunological Bioinformatics by Anonim Pdf

Author : Gregory R. Bock,Jamie A. Goode
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 45,7 Mb
Release : 2004-03-05
Category : Medical
ISBN : 9780470090756

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Immunoinformatics by Gregory R. Bock,Jamie A. Goode Pdf

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 : Anonim
Publisher : Unknown
Page : 296 pages
File Size : 53,8 Mb
Release : 2005
Category : Bioinformatics
ISBN : 1628708611

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Immunological Bioinformatics by Anonim Pdf

Author : Christian Schönbach,Shoba Ranganathan,Vladimir Brusic
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 50,8 Mb
Release : 2007-11-21
Category : Medical
ISBN : 9780387729688

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Immunoinformatics by Christian Schönbach,Shoba Ranganathan,Vladimir Brusic Pdf

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 : Darren D.R. Flower,Matthew Davies,Shoba Ranganathan
Publisher : Springer
Page : 192 pages
File Size : 46,9 Mb
Release : 2009-11-05
Category : Medical
ISBN : 1441905391

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Bioinformatics for Immunomics by Darren D.R. Flower,Matthew Davies,Shoba Ranganathan Pdf

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 : Josep Bassaganya-Riera
Publisher : Academic Press
Page : 210 pages
File Size : 47,8 Mb
Release : 2015-10-21
Category : Medical
ISBN : 9780128037157

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Computational Immunology by Josep Bassaganya-Riera Pdf

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

Author : Darren R. Flower
Publisher : John Wiley & Sons
Page : 302 pages
File Size : 46,5 Mb
Release : 2008-10-13
Category : Medical
ISBN : 9780470699829

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Bioinformatics for Vaccinology by Darren R. Flower Pdf

“... this book was written from start to finish by one extremely dedicated and erudite individual. The author has done an excellent job of covering the many topics that fall under the umbrella of computational biology for vaccine design, demonstrating an admirable command of subject matter in fields as disparate as object-oriented databases and regulation of T cell response. Simply put, it has just the right breadth and depth, and it reads well. In fact, readability is one of its virtues—making the book enticing and useful, all at once...” Human Vaccines, 2010 "... This book has several strong points. Although there are many textbooks that deal with vaccinology, few attempts have been made to bring together descriptions of vaccines in history, basic bioinformatics, various computational solutions and challenges in vaccinology, detailed experimental methodologies, and cutting-edge technologies... This book may well serve as a first line of reference for all biologists and computer scientists..." –Virology Journal, 2009 Vaccines have probably saved more lives and reduced suffering in a greater number of people than any other medical intervention in human history, succeeding in eradicating smallpox and significantly reducing the mortality and incidence of other diseases. However, with the emergence of diseases such as SARS and the threat of biological warfare, vaccination has once again become a topic of major interest in public health. Vaccinology now has at its disposal an array of post-genomic approaches of great power. None has a more persuasive potential impact than the application of computational informatics to vaccine discovery; the recent expansion in genome data and the parallel increase in cheap computing power have placed the bioinformatics exploration of pathogen genomes centre stage for vaccine researchers. This is the first book to address the area of bioinformatics as applied to rational vaccine design, discussing the ways in which bioinformatics can contribute to improved vaccine development by introducing the subject of harnessing the mathematical and computing power inherent in bioinformatics to the study of vaccinology putting it into a historical and societal context, and exploring the scope of its methods and applications. Bioinformatics for Vaccinology is a one-stop introduction to computational vaccinology. It will be of particular interest to bioinformaticians with an interest in immunology, as well as to immunologists, and other biologists who need to understand how advances in theoretical and computational immunobiology can transform their working practices.

Author : Xiangdong Wang
Publisher : Springer
Page : 177 pages
File Size : 46,9 Mb
Release : 2015-03-27
Category : Medical
ISBN : 9789401797535

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Single Cell Sequencing and Systems Immunology by Xiangdong Wang Pdf

The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author’s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.

Author : Shyamasree Ghosh
Publisher : CRC Press
Page : 181 pages
File Size : 47,9 Mb
Release : 2020-01-31
Category : Medical
ISBN : 9781351023481

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Computational Immunology by Shyamasree Ghosh Pdf

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Author : Kumar Selvarajoo
Publisher : Springer Science & Business Media
Page : 153 pages
File Size : 44,6 Mb
Release : 2013-10-01
Category : Medical
ISBN : 9781461476900

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Immuno Systems Biology by Kumar Selvarajoo Pdf

Immuno Systems Biology aims to study the immune system in the more integrated manner on how cells and molecules participate at different system levels to the immune function. Through this book Kumar Selvarajoo introduces to physicists, chemists, computer scientists, biologists and immunologists the idea of an integrated approach to the understanding of mammalian immune system. Geared towards a researcher with limited immunological and computational analytical experience, the book provides a broad overview to the subject and some instruction in basic computational, theoretical and experimental approaches. The book links complex immunological processes with computational analysis and emphasizes the importance of immunology to the mammalian system.

Author : Davide Malagoli,Enzo Ottaviani
Publisher : Springer Science & Business Media
Page : 179 pages
File Size : 45,6 Mb
Release : 2014-04-11
Category : Medical
ISBN : 9789401787123

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Eco-immunology by Davide Malagoli,Enzo Ottaviani Pdf

This book represents a cutting-edge contribution giving an all-around perspective of eco-immunology today. Beside questions of the utmost importance for the whole community of immunologists, e.g, the intrinsic limits of immunological experiments performed at the bench on a limited number of selected models, the book covers several other facets of the eco-immunological approach, including host-parasite interactions, human aging and population immunology. Throughout the book the importance of population dynamics and evolutionary diversification of immune systems is frequently recalled, and makes the reader aware of the basic similarities and differences existing between humans and the models adopted for studying human immune system. The evidenced differences have been recently challenging the reliability of several established animal models and in the book it is discussed for the first time in analytical terms whether mice are reliable models of human inflammatory disorders.

Author : Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain
Publisher : Frontiers Media SA
Page : 358 pages
File Size : 47,8 Mb
Release : 2020-01-30
Category : Electronic
ISBN : 9782889633883

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Methods and Applications of Computational Immunology by Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain Pdf

Author : Darren D.R. Flower,Jon Timmis
Publisher : Springer Science & Business Media
Page : 453 pages
File Size : 45,8 Mb
Release : 2007-04-16
Category : Medical
ISBN : 9780387392417

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In Silico Immunology by Darren D.R. Flower,Jon Timmis Pdf

This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems. It details how these disciplines will enable new understanding to emerge from the analysis of complex datasets. Coverage shows how these three are set to transform immunological science and the future of health care.