Download or read book Methods and Applications of Computational Immunology written by Victor Greiff and published by Frontiers Media SA. This book was released on 2020-01-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2020-01-31 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2020-01-31 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Immunoinformatics written by Rajat K. De and published by . This book was released on 2014 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Content and General Outline of the Book. We have tried to make this edition of the book self-contained. In principle, it aims at students and researchers from diverse background and levels interested in working with immunological problems. It provides biological insights into a certain extent as well as a simpler way to implement approaches and algorithms in the immunoinformatics research domain. There are 30 chapters distributed in five sections that cover various aspects of basic immunology to immunoinformatics. Part I is dedicated to describing the transition from basic and traditional immunology to immunoinformatics. It includes three chapters that introduce a basic immune system, its interaction with metabolic machinery, and informatics related to immune system. Part II contains comprehensive detail on most of the existing databases related to an immune system and its components. Similarly, most of the possible approaches/tools/algorithms for the prediction of T/B-cell epitopes, allergenic proteins, and virulence factors are described in Part III. In Part IV, systems biology approaches in the immunoinformatics domain have been explained, particularly for inflammation and personalized medicine. Part V deals with some applications of immunoinformatics research. In this section, we have provided applications of immunoinformatics in cancer diagnosis and therapy, HIV pathogenesis, and methods to investigate the mechanisms of host-pathogen interactions. Part V also includes the description of the role of structure-based clustering of MHC molecules as well as small RNA in vaccine designing."--Preface, page viii.

Download or read book Systems Immunology written by Jayajit Das and published by CRC Press. This book was released on 2018-09-03 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA New experimental techniques in immunology have produced large and complex data sets that require quantitative modeling for analysis. This book provides a complete overview of computational immunology, from basic concepts to mathematical modeling at the single molecule, cellular, organism, and population levels. It showcases modern mechanistic models and their use in making predictions, designing experiments, and elucidating underlying biochemical processes. It begins with an introduction to data analysis, approximations, and assumptions used in model building. Core chapters address models and methods for studying immune responses, with fundamental concepts clearly defined. Readers from immunology, quantitative biology, and applied physics will benefit from the following: Fundamental principles of computational immunology and modern quantitative methods for studying immune response at the single molecule, cellular, organism, and population levels. An overview of basic concepts in modeling and data analysis. Coverage of topics where mechanistic modeling has contributed substantially to current understanding. Discussion of genetic diversity of the immune system, cell signaling in the immune system, immune response at the cell population scale, and ecology of host-pathogen interactions.

Download or read book Mathematical Computational and Experimental T Cell Immunology written by Carmen Molina-París and published by Springer Nature. This book was released on 2021-01-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.

Download or read book Computational Methods With Applications In Bioinformatics Analysis written by Tsai Jeffrey J P and published by World Scientific. This book was released on 2017-06-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Download or read book Computational Immunology written by Josep Bassaganya-Riera and published by Academic Press. This book was released on 2015-10-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Methods and Applications Computational Genomics written by Guanglin Li and published by Frontiers Media SA. This book was released on 2022-07-28 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Applications of Monte Carlo Methods in Biology Medicine and Other Fields of Science written by Charles J. Mode and published by BoD – Books on Demand. This book was released on 2011-02-28 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine.

Download or read book Computational Methods in Molecular Biology written by S.L. Salzberg and published by Elsevier. This book was released on 1998-06-19 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Download or read book Immunological Computation written by Dipankar Dasgupta and published by CRC Press. This book was released on 2008-09-12 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature prov

Download or read book Computational Methods and Mathematical Modeling in Cyberphysics and Engineering Applications 1 written by Dmitri Koroliouk and published by John Wiley & Sons. This book was released on 2024-05-21 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical methods in engineering are characterized by a wide range of techniques for approaching various problems. Moreover, completely different analysis techniques can be applied to the same problem, which is justified by the difference in specific applications. Therefore, the study of the analyses and solutions of specific problems leads the researcher to generate their own techniques for the analysis of similar problems continuously arising in the process of technical development. Computational Methods and Mathematical Modeling in Cyberphysics and Engineering Applications contains solutions to specific problems in current areas of computational engineering and cyberphysics.

Download or read book Immunological Bioinformatics written by Ole Lund and published by MIT Press. This book was released on 2005-06-17 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Bioinformatics for Vaccinology written by Darren R. Flower and published by John Wiley & Sons. This book was released on 2008-10-13 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: “... 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.

Download or read book Frontiers in Molecular Pharming written by Muhammad Sarwar Khan and published by Bentham Science Publishers. This book was released on 2021-12-09 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of large-scale production and clinical trials of drugs developed through diverse production routes - involving viruses, microbes, plants, and animals - has increased the demand for an expanded capacity for pharmaceutical manufacturing. The production and purification of expressed proteins accounts for the bulk of the manufacturing costs for new therapeutics. Several pharmaceutical proteins have been synthesized by exploiting plant genetics allowing producers to override conventional approaches used to manufacture pharmaceuticals. The process of inserting a gene into a host organism for the purpose of harvesting a bioactive molecule for therapeutic use is known as molecular pharming. Frontiers in Molecular Pharming covers an array of topics relevant to understanding the structure, function, regulation, and mechanisms of action, biochemical significance, and usage of proteins and peptides as biomarkers, therapeutics, and vaccines for animals and humans. The contributions aim to highlight current progress in three areas, including system biology (in vivo characterization of proteins and peptides), molecular pharming for animals and molecular pharming for humans. The book gives special attention to computational biology tools, production platforms and fields (such as immunoinformatics) and applications of molecular pharming (such as veterinary therapeutics). A balance of theoretical concepts and practical applications is provided through 13 chapters. Frontiers in Molecular Pharming is an invaluable resource for students and researchers of biochemistry, molecular biology, and biotechnology. The book also serves as a springboard for understanding the process of how discoveries in protein and peptide research and its applications are coming to fruition.

Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’