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Virus Bioinformatics [Kõva köide]

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  • Formaat: Hardback, 280 pages, kõrgus x laius: 234x156 mm, kaal: 740 g, 16 Tables, black and white; 55 Line drawings, color; 3 Line drawings, black and white; 55 Illustrations, color; 3 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Computational Biology Series
  • Ilmumisaeg: 19-Aug-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367558602
  • ISBN-13: 9780367558604
Teised raamatud teemal:
  • Formaat: Hardback, 280 pages, kõrgus x laius: 234x156 mm, kaal: 740 g, 16 Tables, black and white; 55 Line drawings, color; 3 Line drawings, black and white; 55 Illustrations, color; 3 Illustrations, black and white
  • Sari: Chapman & Hall/CRC Computational Biology Series
  • Ilmumisaeg: 19-Aug-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367558602
  • ISBN-13: 9780367558604
Teised raamatud teemal:
"Virus Bioinformatics reviews state-of-the-art bioinformatics algorithms and recent advances in data analysis in virology. Key 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"--

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.

Key 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.



Virus Bioinformatics reviews state-of-the-art bioinformatics algorithms and recent advances in data analysis in virology.

Arvustused

Virology is progressing under the comfortable simplifications or reductionism and the disturbing recognition of complexity. Viruses are ubiquitous and diverse, and individual viral populations are exceedingly complex and dynamic, both genetically and phenotypically. As intracellular infection events are scrutinized at the single cell level of analysis, we are learning that virus-cell-organism interactions are multifaceted and intricate. Bioinformatics emerges to rescue virology amid a turmoil of new information in need of order. This book, edited by Manja Marz and Dimitrij Frishman, with outstanding contributing authors, will play the role of a lighthouse in a stormy ocean, to guide virologists on possible paths to follow. -- Esteban Domingo, Professor of Research at the Spanish National Research Council (CSIC), Madrid, Winter 2021

Preface vii
Editors xi
Contributors xiii
Chapter 1 Comparative Genomics of Viruses
1(16)
Thomas Rattei
Chapter 2 Current Techniques and Approaches For Metagenomic Exploration of Phage Diversity
17(18)
Simon Roux
Mark Borodovsky
Chapter 3 Direct RNA Sequencing For Complete Viral Genomes
35(16)
Sebastian Krautwurst
Ronald Dijkman
Volker Thiel
Andi Krumbholz
Manja Marz
Chapter 4 Computational Methods For Viral Quasispecies Assembly
51(14)
Kim Philipp Jablonski
Niko Beerenwinkel
Chapter 5 Functional RNA Structures in the 3' UTR of Mosquito-Borne Flaviviruses
65(36)
Michael T. Wolfincer
Roman Ochsenreiter
Ivo L. Hofacker
Chapter 6 Structural Bioinformatics of Influenza Virus RNA Genomes
101(20)
Alexander P. Gultyaev
Rene C.L. Olsthoorn
Monique I. Spronken
Mathilde Richard
Chapter 7 Structural Genomics and Interactomics of Sars-Cov2: Decoding Basic Building Blocks of the Coronavirus
121(20)
Ziyanc Gao
Senbao Lu
Oleksandr Narykov
Suhas Srinivasan
Dmitry Korkin
Chapter 8 Computational Tools For Discovery of Cd8 T Cell Epitopes and Ctl Immune Escape in Viruses Causing Persistent Infections
141(16)
Hadi Karimzadeh
Daniel Habermann
Daniel Hoffmann
Michael Roccendorf
Chapter 9 Virus-Host Transcriptomics
157(22)
Caroline C. Friedel
Chapter 10 Sequence Classification with Machine Learning at the Example of Viral Host Prediction
179(18)
Florian Mock
Manja Marz
Chapter 11 Master Regulators of Host Response to Sars-Cov-2 as Promising Targets For Drug Repurposing
197(48)
Manasa Kalya
Kamilya Altynbekova
Alexander Kel
Chapter 12 The Potential of Computational Genomics in the Design of Oncolytic Viruses
245(18)
Henni Zommer
Tamir Tuller
Chapter 13 Sharing Knowledge in Virology
263(12)
Edouard De Castro
Chantal Hulo
Patrick Masson
Philippe Le Mercier
Index 275
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