Computational immunology models tools (15 resultados)

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Buch. Condición: Neu. Neuware - Computational immunology refers to a field of science, which includes high-throughput bioinformatics and genomic approaches to immunology. The primary goal of this field is to transform immunological data into computational problems, solving such problems by utilizing computational and mathematical methods, and then converting the results into immunologically relevant interpretations. Computational immunology is a subfield of bioinformatics that uses similar concepts and tools, such as sequence alignment and protein structure prediction. The other fundamental tools used in this field include ClustalW, TreeView and BLAST. It also makes use of special immunoinformatics tools like Collier-de-Perles and StructuralQuery for conducting variable domain structure analysis, and V-QUEST for conducting TR and IG sequence analysis. Computational immunology uses the immunological data for identifying infectious diseases, allergies and host responses. It is also helpful in understanding the type of specificity in immunogenicity and immune network. This book provides significant information of computational immunology to help develop a good understanding of its models and tools. It is appropriate for students seeking detailed information in this area of study as well as for experts.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

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Hardcover. Condición: new. Hardcover. Computational immunology refers to a field of science, which includes high-throughput bioinformatics and genomic approaches to immunology. The primary goal of this field is to transform immunological data into computational problems, solving such problems by utilizing computational and mathematical methods, and then converting the results into immunologically relevant interpretations. Computational immunology is a subfield of bioinformatics that uses similar concepts and tools, such as sequence alignment and protein structure prediction. The other fundamental tools used in this field include ClustalW, TreeView and BLAST. It also makes use of special immunoinformatics tools like Collier-de-Perles and StructuralQuery for conducting variable domain structure analysis, and V-QUEST for conducting TR and IG sequence analysis. Computational immunology uses the immunological data for identifying infectious diseases, allergies and host responses. It is also helpful in understanding the type of specificity in immunogenicity and immune network. This book provides significant information of computational immunology to help develop a good understanding of its models and tools. It is appropriate for students seeking detailed information in this area of study as well as for experts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…