Synopsis
This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results.
Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens.
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Computational Virology (eng)
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Springer-Verlag New York Inc., 2025
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Computational Virology
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Computational Virology (Methods in Molecular Biology, 2927)
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Computational Virology
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Springer Us Jul 2025, 2025
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results. Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens. 324 pp. Englisch. N° de réf. du vendeur 9781071645451
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Computational Virology (Hardcover)
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Springer-Verlag New York Inc., New York, NY, 2025
ISBN 10 : 1071645455
ISBN 13 : 9781071645451
Neuf
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Hardcover. Etat : new. Hardcover. This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results. Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781071645451
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Computational Virology
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Buch. Etat : Neu. Computational Virology | Vijaykumar Yogesh Muley | Buch | x | Englisch | 2025 | Springer | EAN 9781071645451 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 133414348
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Computational Virology (Methods in Molecular Biology, 2927)
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Computational Virology
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Springer US, Springer US Jun 2025, 2025
ISBN 10 : 1071645455
ISBN 13 : 9781071645451
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. N° de réf. du vendeur 9781071645451
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Computational Virology (Hardcover)
Edité par
Springer-Verlag New York Inc., New York, NY, 2025
ISBN 10 : 1071645455
ISBN 13 : 9781071645451
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results. Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781071645451
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Computational Virology
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Springer US, Springer US, 2025
ISBN 10 : 1071645455
ISBN 13 : 9781071645451
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume explores computational methods for the rapid analysis of viral infections and strategies for their mitigation, which have significantly advanced the understanding of viral pathogenesis and host responses. Beginning with methods for identifying viral genomes from metagenomic sequencing data, the book progresses to topics such as next-generation sequencing to study host responses against viral infections, virus-host protein interactions to identify therapeutic targets, viral taxonomy, zoonotic transmission, reverse zoonosis, and antivirals, including their mechanisms of action, focusing on virus entry and life cycle. Practical workflows for identifying potential drug-like compounds from resources such as PubChem are also covered. Written for the highly successful Methods in Molecular Biology series, chapters include detailed implementation advice to ensure successful experimental results. Authoritative and practical, Computational Virology provides researchers, students, and professionals in virology, bioinformatics, artificial intelligence, and systems biology with critical insights into the challenges posed by viral pathogens. N° de réf. du vendeur 9781071645451
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