Frishman / Marz | Virus Bioinformatics | Buch | 978-0-367-55860-4 | sack.de

Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 640 g

Reihe: Chapman & Hall/CRC Computational Biology Series

Frishman / Marz

Virus Bioinformatics


1. Auflage 2021
ISBN: 978-0-367-55860-4
Verlag: CRC Press

Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 640 g

Reihe: Chapman & Hall/CRC Computational Biology Series

ISBN: 978-0-367-55860-4
Verlag: CRC Press


Viruses are the most numerous and deadliest biological entities on the planet, infecting all types of living organisms—from bacteria to human beings. The constantly expanding repertoire of experimental approaches available to study viruses includes both low-throughput techniques, such as imaging and 3D structure determination, and modern OMICS technologies, such as genome sequencing, ribosomal profiling, and RNA structure probing. Bioinformatics of viruses faces significant challenges due to their seemingly unlimited diversity, unusual lifestyle, great variety of replication strategies, compact genome organization, and rapid rate of evolution. At the same time, it also has the potential to deliver decisive clues for developing vaccines and medications against dangerous viral outbreaks, such as the recent coronavirus pandemics. Virus Bioinformatics reviews state-of-the-art bioinformatics algorithms and recent advances in data analysis in virology.

FEATURES

- Contributions from leading international experts in the field

- Discusses open questions and urgent needs

- Covers a broad spectrum of topics, including evolution, structure, and function of viruses, including coronaviruses

The book will be of great interest to computational biologists wishing to venture into the rapidly advancing field of virus bioinformatics as well as to virologists interested in acquiring basic bioinformatics skills to support their wet lab work.

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Zielgruppe


Academic, Postgraduate, Professional, Professional Practice & Development, and Undergraduate Advanced

Weitere Infos & Material


Preface
Comparative genomics of viruses
Thomas Rattei
Current techniques and approaches for metagenomic exploration of phage diversity
Simon Roux, Mark Borodovsky
Direct RNA sequencing for complete viral genomes
Sebastian Krautwurst,Ronald Dijkman, Volker Thiel, Andi Krumbholz, Manja Marz

Computational methods for viral quasispecies assembly
Kim Philipp Jablonski, Niko Beerenwinkel

Functional RNA Structures in the 3’UTR of Mosquito-Borne Flaviviruses
Michael T. Wolfinger, Roman Ochsenreiter and Ivo L. Hofacker

Structural bioinformatics of influenza virus RNA genomes
Alexander P. Gultyaev, René C.L. Olsthoorn, Monique I. Spronken, and Mathilde Richard

Structural genomics and interactomics of SARS-COV2: Decoding basic building blocks of the coronavirus
Ziyang Gao, Senbao Lu, Oleksandr Narykov, Suhas Srinivasan, and Dmitry Korkin

Computational tools for discovery of CD8 T cell epitopes and CTL immune escape in viruses causing persistent infections
Hadi Karimzadeh, Daniel Habermann, Daniel Hoffmann and Michael Roggendorf.

Virus-host transcriptomics
Caroline C. Friedel

Sequence classication with machine learning at the example of viral host prediction
Florian Mock and Manja Marz

Master-regulators of host response to SARS-CoV-2 as promising targets for drug repurposing
Manasa KP, Kamilya Altynbekova, Alexander Kel

The potential of computational genomics in the design of oncolytic viruses
Henni Zommer and Tamir Tuller

Sharing knowledge in Virology
Edouard De Castro, Chantal Hulo, Patrick Masson and Philippe Le Mercier


Dmitrij Frishman is Professor for Bioinformatics at Munich Technical University (TUM)

Manja Marz is Professor for High-Throughput Sequencing Analysis at Friedrich Schiller University Jena



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