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Virus Bioinformatics - Unknown Binding, by Frishman Dmitrij; Marz - New h

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Book Title
Virus Bioinformatics (Chapman & Hall/CRC Computational Biology Se
ISBN
9780367558604
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Product Identifiers

Publisher
CRC Press LLC
ISBN-10
0367558602
ISBN-13
9780367558604
eBay Product ID (ePID)
26050073237

Product Key Features

Number of Pages
280 Pages
Publication Name
Virus Bioinformatics
Language
English
Subject
Life Sciences / Microbiology, Life Sciences / Virology, Life Sciences / Molecular Biology, Computer Science
Publication Year
2021
Type
Textbook
Author
Manja Marz
Subject Area
Computers, Science
Series
Chapman and Hall/Crc Computational Biology Ser.
Format
Hardcover

Dimensions

Item Weight
25.2 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
LCCN
2021-008505
Dewey Edition
23
Reviews
"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
Illustrated
Yes
Dewey Decimal
579.0285
Table Of Content
Chapter 1 Comparative Genomics of Viruses Thomas Rattei Chapter 2 Current Techniques and Approaches for Metagenomic Exploration of Phage Diversity Simon Roux and Mark Borodovsky Chapter 3 Direct RNA Sequencing for Complete Viral Genomes Sebastian Krautwurst, Ronald Dijkman, Volker Thiel, Andi Krumbholz, and Manja Marz Chapter 4 Computational Methods for Viral Quasispecies Assembly Kim Philipp Jablonski and Niko Beerenwinkel Chapter 5 Functional RNA Structures in the 3' UTR of Mosquito-Borne Flaviviruses Michael T. Wolfinger, Roman Ochsenreiter, and Ivo L. Hofacker vi Contents Chapter 6 Structural Bioinformatics of Influenza Virus RNA Genomes Alexander P. Gultyaev, René C.L. Olsthoorn, Monique I. Spronken, and Mathilde Richard Chapter 7 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 Chapter 8 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 Chapter 9 Virus-Host Transcriptomics Caroline C. Friedel Chapter 10 Sequence Classification with Machine Learning at the Example of Viral Host Prediction Florian Mock and Manja Marz Chapter 11 Master Regulators of Host Response to SARS-CoV-2 as Promising Targets for Drug Repurposing Manasa KP , Kamilya Altynbekova, and Alexander Kel Chapter 12 The Potential of Computational Genomics in the Design of Oncolytic Viruses Henni Zommer and Tamir Tuller Chapter 13 Sharing Knowledge in Virology Edouard De Castro, Chantal Hulo, Patrick Masson, and Philippe Le Mercier
Synopsis
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., Virus Bioinformatics reviews state-of-the-art bioinformatics algorithms and recent advances in data analysis in virology., 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.
LC Classification Number
QR370.V57 2021

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