Virus Bioinformatics

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advanced viral bioinformatics research
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B01=Dmitrij Frishman
B01=Manja Marz
Category1=Non-Fiction
Category=PS
Category=PSD
Category=UY
computational virology
Conserve RNA Structure
COP=United Kingdom
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eq_computing
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eq_non-fiction
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HDV Infection
Highly Pathogenic Avian Influenza
Host Virus Interactions
host-pathogen dynamics
HSV-1 Infection
Human Coronavirus 229E
IEMs
immune escape mechanisms
Influenza Virus
Influenza Virus RNA
Language_English
metagenomics techniques
Nanopore Sequencing
NCBI RefSeq
oncolytic virus design
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Pass Software
Phage Genomes
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RBD
Reference Genome
RNA Seq Data
RNA Structure
softlaunch
Structure Prediction
TFBS
Total RNA Seq
Unsupervised Machine Learning
USUV
viral genome analysis
Viral Nucleotide Sequences
Viral Proteins

Product details

  • ISBN 9780367558604
  • Weight: 740g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Aug 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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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.

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