Download Computational Immunology Ebook PDF

Computational Immunology

Computational Immunology
Applications

by Shyamasree Ghosh

  • Publisher : CRC Press
  • Release : 2020-01-31
  • Pages : 172
  • ISBN : 1351023497
  • Language : En, Es, Fr & De
GET BOOK

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.

Computational Immunology

Computational Immunology
Models and Tools

by Josep Bassaganya-Riera

  • Publisher : Academic Press
  • Release : 2015-10-21
  • Pages : 210
  • ISBN : 0128037156
  • Language : En, Es, Fr & De
GET BOOK

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

Computational Immunology

Computational Immunology
Applications

by Shyamasree Ghosh

  • Publisher : CRC Press
  • Release : 2020-02-17
  • Pages : 172
  • ISBN : 1351023489
  • Language : En, Es, Fr & De
GET BOOK

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 Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI) Scientific Officer (F), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was 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.

Methods and Applications of Computational Immunology

Methods and Applications of Computational Immunology
A Book

by Victor Greiff,Gur Yaari,Johannes Textor,Benny Chain

  • Publisher : Frontiers Media SA
  • Release : 2020-01-30
  • Pages : 329
  • ISBN : 2889633888
  • Language : En, Es, Fr & De
GET BOOK

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology

by Martina Husáková

  • Publisher : Tomáš Bruckner
  • Release : 2015-09-10
  • Pages : 174
  • ISBN : 8087924029
  • Language : En, Es, Fr & De
GET BOOK

Computational immunology offers in silico strategies for understanding of complex processes occurring in the natural immune system of a living organism that are difficult to explore by traditional in vivo or in vitro techniques. The monograph introduces conceptual languages and approaches for modelling biological processes. The Agent Modelling Language is investigated for conceptualisation of immune processes. AML-based diagrams represent properties and processes occurring in a lymph node.

Bioinformatics and Computational Biology in Drug Discovery and Development

Bioinformatics and Computational Biology in Drug Discovery and Development
A Book

by William T. Loging

  • Publisher : Cambridge University Press
  • Release : 2016-02-29
  • Pages : 248
  • ISBN : 0521768004
  • Language : En, Es, Fr & De
GET BOOK

A comprehensive overview of the use of computational biology approaches in the drug discovery and development process.

Computational Biology and Applied Bioinformatics

Computational Biology and Applied Bioinformatics
A Book

by Heitor Lopes,Leonardo Magalhães Cruz

  • Publisher : BoD – Books on Demand
  • Release : 2011-09-02
  • Pages : 458
  • ISBN : 9533076291
  • Language : En, Es, Fr & De
GET BOOK

Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new discipline, bioinformatics, bringing together molecular biology, biotechnology and information technology. More recently, the development of high throughput techniques, such as microarray, mass spectrometry and DNA sequencing, has increased the need of computational support to collect, store, retrieve, analyze, and correlate huge data sets of complex information. On the other hand, the growth of the computational power for processing and storage has also increased the necessity for deeper knowledge in the field. The development of bioinformatics has allowed now the emergence of systems biology, the study of the interactions between the components of a biological system, and how these interactions give rise to the function and behavior of a living being. This book presents some theoretical issues, reviews, and a variety of bioinformatics applications. For better understanding, the chapters were grouped in two parts. In Part I, the chapters are more oriented towards literature review and theoretical issues. Part II consists of application-oriented chapters that report case studies in which a specific biological problem is treated with bioinformatics tools.

Complex Systems and Computational Biology Approaches to Acute Inflammation

Complex Systems and Computational Biology Approaches to Acute Inflammation
A Book

by Yoram Vodovotz,Gary An

  • Publisher : Springer Science & Business Media
  • Release : 2013-08-15
  • Pages : 291
  • ISBN : 1461480086
  • Language : En, Es, Fr & De
GET BOOK

The difficulty in achieving effective translation of basic mechanistic biomedical knowledge into effective therapeutics, is the greatest challenge in biomedical research. Nowhere is this more apparent than in the reductionist approaches to understanding and manipulating the acute inflammatory response in the settings of sepsis, trauma/hemorrhage, wound healing, and related processes. This book discusses complex systems and computational biology methods and approaches that have advanced sufficiently to allow for knowledge generation, knowledge integration, and clinical translation in the settings of complex diseases related to the inflammatory response. Well-regulated, self-resolving inflammation is necessary for the appropriate communication and resolution of infection and trauma, and for maintenance of proper physiology and homeostasis. In contrast, self-sustaining inflammation drives the pathobiology of the aforementioned diseases. It is now increasingly recognized that controlling and reprogramming inflammation in order to reap the benefits of this evolutionarily-conserved process is preferred to simply abolishing indiscriminately.

Computational Immunology

Computational Immunology
Basics

by Shyamasree Ghosh

  • Publisher : CRC Press
  • Release : 2019-10-14
  • Pages : 312
  • ISBN : 1351025538
  • Language : En, Es, Fr & De
GET BOOK

The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc. Computational Immunology: Basics highlights the basics of the immune system and function in health and disease. This book offers comprehensive coverage of the most essential topics, including Overview of Immunology and computational Immunology Immune organs and cells, antigen, antibody, B, cell, T cell Antigen Processing and presentation Diseases due to abnormalities of the immune system Cancer Biology Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was 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.

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology
A Book

by Martina Husakova

  • Publisher : Tomas Bruckner
  • Release : 2015-09-10
  • Pages : 174
  • ISBN : 9788087924013
  • Language : En, Es, Fr & De
GET BOOK

The natural immune system is an amazing complex system aiming at the homeostasis maintenance of a living organism. The non-linear, dynamic and complex nature of this system renders the behaviour far from predictable. This fact complicates exploration of immune processes and their understanding with traditional in vivo or in vitro strategies. Techniques of computer science are a promising alternative for the investigation of the natural immune system. Computational immunology investigates an inner life of the natural immune system with the assistance of various approaches of computer science (artificial or computational intelligence), mathematics, physics or statistics. It offers in silico strategies helping with the understanding of phenomena that are difficult to explore through traditional techniques. The monograph introduces the historical context of this research area and the first computer science-based applications. It concentrates mainly on conceptual modelling of various biological processes with the usage of particular conceptual languages and approaches (concept maps, entity-relationship diagrams, ontologies, topic maps, SBML, CellML, SBGN, statecharts and UML) differing in the degree of formality and use. Conceptual models are crucial, because they highlight the most important "players" of immune processes and relations between them. Conceptualisation is inevitable especially if we study really complex system. The primary goal of the monograph is to investigate the usefulness of the Agent Modelling Language for conceptualisation of particular immune processes. The Agent Modelling Language (AML) extends the UML for conceptualisation of multi-agent systems. The natural immune system is perceived as the multi-agent system in the monograph. Selected types of AML-based diagrams represent properties and processes occurring in a secondary lymphoid organ - a lymph node where interactions between T-cells and dendritic cells are mainly taken into account.

Systems and Computational Biology

Systems and Computational Biology
Bioinformatics and Computational Modeling

by Ning-Sun Yang

  • Publisher : BoD – Books on Demand
  • Release : 2011-09-12
  • Pages : 348
  • ISBN : 9533078758
  • Language : En, Es, Fr & De
GET BOOK

Whereas some "microarray" or "bioinformatics" scientists among us may have been criticized as doing "cataloging research", the majority of us believe that we are sincerely exploring new scientific and technological systems to benefit human health, human food and animal feed production, and environmental protections. Indeed, we are humbled by the complexity, extent and beauty of cross-talks in various biological systems; on the other hand, we are becoming more educated and are able to start addressing honestly and skillfully the various important issues concerning translational medicine, global agriculture, and the environment. The two volumes of this book present a series of high-quality research or review articles in a timely fashion to this emerging research field of our scientific community.

Algorithms for Computational Biology

Algorithms for Computational Biology
First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedings

by Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truthe

  • Publisher : Springer
  • Release : 2014-08-05
  • Pages : 275
  • ISBN : 9783319079523
  • Language : En, Es, Fr & De
GET BOOK

This book constitutes the refereed proceedings of the First International Conference, AlCoB 2014, held in July 2014 in Tarragona, Spain. The 20 revised full papers were carefully reviewed and selected from 39 submissions. The scope of AlCoB includes topics of either theoretical or applied interest, namely: exact sequence analysis, approximate sequence analysis, pairwise sequence alignment, multiple sequence alignment, sequence assembly, genome rearrangement, regulatory motif finding, phylogeny reconstruction, phylogeny comparison, structure prediction, proteomics: molecular pathways, interaction networks, transcriptomics: splicing variants, isoform inference and quantification, differential analysis, next-generation sequencing: population genomics, metagenomics, metatranscriptomics, microbiome analysis, systems biology.

Proc. of the Third Brazilian Symp. on Mathematical and Computational Biology - v1

Proc. of the Third Brazilian Symp. on Mathematical and Computational Biology - v1
A Book

by RUBEM MONDAINI

  • Publisher : Editora E-papers
  • Release : 2021
  • Pages : 454
  • ISBN : 8587922882
  • Language : En, Es, Fr & De
GET BOOK

Anais do III Simpósio Brasileiro de Biologia Matemática e Computacional

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology
Systems and Applications

by Hamid R Arabnia,Quoc Nam Tran

  • Publisher : Morgan Kaufmann
  • Release : 2016-03-25
  • Pages : 592
  • ISBN : 0128042591
  • Language : En, Es, Fr & De
GET BOOK

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

Advances in Computational Biology

Advances in Computational Biology
Proceedings of the 2nd Colombian Congress on Computational Biology and Bioinformatics (CCBCOL)

by Luis F. Castillo,Marco Cristancho,Gustavo Isaza,Andrés Pinzón,Juan Manuel Corchado Rodríguez

  • Publisher : Springer Science & Business Media
  • Release : 2013-08-04
  • Pages : 397
  • ISBN : 3319015680
  • Language : En, Es, Fr & De
GET BOOK

This volume compiles accepted contributions for the 2nd Edition of the Colombian Computational Biology and Bioinformatics Congress CCBCOL, after a rigorous review process in which 54 papers were accepted for publication from 119 submitted contributions. Bioinformatics and Computational Biology are areas of knowledge that have emerged due to advances that have taken place in the Biological Sciences and its integration with Information Sciences. The expansion of projects involving the study of genomes has led the way in the production of vast amounts of sequence data which needs to be organized, analyzed and stored to understand phenomena associated with living organisms related to their evolution, behavior in different ecosystems, and the development of applications that can be derived from this analysis.

Proc. of the Third Brazilian Symp. on Mathematical and Computational Biology - v2

Proc. of the Third Brazilian Symp. on Mathematical and Computational Biology - v2
A Book

by RUBEM MONDAINI

  • Publisher : Editora E-papers
  • Release : 2021
  • Pages : 391
  • ISBN : 8587922874
  • Language : En, Es, Fr & De
GET BOOK

Anais do III Simpósio Brasileiro de Biologia Matemática e Computacional

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology
Algorithms and Software Tools

by Hamid R Arabnia,Quoc Nam Tran

  • Publisher : Morgan Kaufmann
  • Release : 2015-08-11
  • Pages : 670
  • ISBN : 0128026464
  • Language : En, Es, Fr & De
GET BOOK

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)
A Book

by Juan Manuel Corchado Rodríguez,Francisco de Paz,Miguel P. Rocha,Florentino Fernández Riverola

  • Publisher : Springer Science & Business Media
  • Release : 2008-09-16
  • Pages : 254
  • ISBN : 354085861X
  • Language : En, Es, Fr & De
GET BOOK

The success of Bioinformatics in recent years has been prompted by research in mole- lar biology and medicine in initiatives like the human genome project. The volume and diversification of data has increased so much that it is very hard if not impossible to analyze it by human experts. The analysis of this growing body of data, intensified by the development of a number of high-throughput experimental techniques that are generating the so called 'omics' data, has prompted for new computational methods. New global approaches, such as Systems Biology, have been emerging replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling and computer science. Computational methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks. This workshop brings the opportunity to discuss applications of Bioinformatics and Computational Biology exploring the interactions between computer scientists, bio- gists and other scientific researchers. The IWPACBB technical program includes 29 papers (23 long papers and 6 short papers) selected from a submission pool of 51 papers, from 9 different countries. We thank the excellent work of the local organization members and also from the members of the Program Committee for their excellent reviewing work. October 2008 Juan M. Corchado Juan F. De Paz Miguel P. Rocha Florentino Fernández Riverola Organization

Methods in Computational Biology

Methods in Computational Biology
A Book

by Ross Carlson,Herbert Sauro

  • Publisher : MDPI
  • Release : 2019-07-03
  • Pages : 214
  • ISBN : 3039211633
  • Language : En, Es, Fr & De
GET BOOK

Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement

Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology
A Book

by Yaochu Jin,Lipo Wang

  • Publisher : Springer Science & Business Media
  • Release : 2009-04-15
  • Pages : 332
  • ISBN : 3540899677
  • Language : En, Es, Fr & De
GET BOOK

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.