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210512 ||| eng |
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|a books978-3-03921-883-7
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|a 9783039218837
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|a 9783039218820
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|a Robertson, David
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| 245 |
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|a Virus Bioinformatics
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (330 p.)
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|a innate immune system
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|a TLR agonist
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|a groundwater
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|a deep sequencing
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|a virome
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|a Amebae viruses
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|a ADAR
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|a prophylaxis
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|a mRNA structure
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|a viral evolution
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|a bacteriophage
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|a flavivirus
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|a aquifer
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|a AquaDiva
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|a eukaryogenesis
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|a DFT
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|a metagenomics
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|a mRNA families
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|a Rickettsia
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| 653 |
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|a bioinformatics
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| 653 |
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|a virus proteomics
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| 653 |
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|a quasispecies
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| 653 |
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|a data transformation
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| 653 |
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|a mitochondria
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| 653 |
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|a compressive genomics
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| 653 |
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|a protein domains
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| 653 |
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|a endogenous viral elements
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| 653 |
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|a RNA viruses
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|a structurally related
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|a dsdna viruses
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| 653 |
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|a sncRNA
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| 653 |
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|a Coxsackievirus B4
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| 653 |
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|a recombination
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|a polyomavirus
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| 653 |
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|a comparative genomics
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| 653 |
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|a giant virus
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| 653 |
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|a HMM
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| 653 |
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|a foot-and-mouth disease virus (FMDV)
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| 653 |
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|a genome evolution
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|a gram-positive bacteria
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|a Drosophila
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|a Biology, life sciences / bicssc
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| 653 |
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|a virology
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| 653 |
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|a bovine soft palate
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| 653 |
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|a poxvirus
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| 653 |
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|a virus diagnostics
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| 653 |
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|a structure database
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| 653 |
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|a non-coding RNA
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|a structurally homogenous
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| 653 |
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|a peptide selection
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| 653 |
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|a virus-host interaction
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| 653 |
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|a transcriptomics
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| 653 |
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|a virus dynamics modeling
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| 653 |
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|a RB1B
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| 653 |
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|a taxonomic classification
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| 653 |
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|a alignment
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| 653 |
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|a polycistronic viral transcripts
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| 653 |
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|a software
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| 653 |
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|a BBB
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| 653 |
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|a CVI988/Rispens
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| 653 |
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|a complex networks analysis
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| 653 |
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|a viral taxonomy
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| 653 |
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|a nasopharynx
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| 653 |
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|a chemical organization theory
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| 653 |
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|a RNAseq
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| 653 |
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|a DNA replication
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| 653 |
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|a virus classification
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| 653 |
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|a secondary structure
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| 653 |
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|a transcriptome
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| 653 |
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|a bivalve
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| 653 |
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|a minor capsid protein
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| 653 |
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|a sequencing library preparation
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| 653 |
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|a data analysis
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| 653 |
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|a RNAi
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| 653 |
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|a hepatitis C virus
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| 653 |
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|a tobacco mosaic virus
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| 653 |
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|a cellular immunity
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| 653 |
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|a translation machinery
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| 653 |
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|a Yellow Fever Virus
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| 653 |
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|a interferon-stimulated genes (ISG)
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| 653 |
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|a assembly
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| 653 |
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|a Base-By-Base
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| 653 |
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|a time series
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| 653 |
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|a primary B cells
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| 653 |
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|a viral mRNA
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| 653 |
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|a drug resistance
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| 653 |
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|a MSA
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| 653 |
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|a PAA
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| 653 |
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|a subVOG
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| 653 |
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|a mass spectrometry
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| 653 |
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|a RNA-seq
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| 653 |
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|a Hepatitis C virus
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| 653 |
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|a infection
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| 653 |
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|a deformed wing virus
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| 653 |
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|a NCLDV
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| 653 |
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|a parallel reaction monitoring
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| 653 |
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|a fluorescent reporter protein
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| 653 |
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|a splicing
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| 653 |
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|a virus genomics
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| 653 |
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|a ICP0
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| 653 |
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|a ASFV
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| 653 |
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|a apiary pests
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| 653 |
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|a virus
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| 653 |
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|a DWT
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| 653 |
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|a viral metagenome
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| 653 |
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|a RNA structure
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| 653 |
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|a mimivirus
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| 653 |
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|a proteomics
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| 653 |
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|a Marek's disease virus (MDV)
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| 653 |
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|a variant calling
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| 653 |
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|a virosphere
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| 653 |
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|a honey bees
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| 653 |
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|a horizontal gene transfer
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| 653 |
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|a virus bioinformatics
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| 653 |
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|a data compression
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| 653 |
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|a HPV58
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| 653 |
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|a pandoravirus
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| 653 |
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|a capsid protein
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| 653 |
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|a Mimivirus
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| 653 |
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|a systems virology
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| 653 |
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|a influenza A
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| 653 |
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|a ori
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| 653 |
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|a image quantification
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| 653 |
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|a APMV
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| 653 |
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|a codon frequency distribution
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| 653 |
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|a targeted proteomics
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| 653 |
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|a sequence interpretation
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| 653 |
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|a virus-to-host gene transfer
|
| 700 |
1 |
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|a Hufsky, Franziska
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| 700 |
1 |
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|a Ibrahim, Bashar
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| 700 |
1 |
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|a Marz, Manja
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-03921-883-7
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/2043
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/62248
|z DOAB: description of the publication
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|a 576
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|a 610
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|a Virus bioinformatics is evolving and succeeding as an area of research in its own right, representing the interface of virology and computer science. Bioinformatic approaches to investigate viral infections and outbreaks have become central to virology research, and have been successfully used to detect, control, and treat infections of humans and animals. As part of the Third Annual Meeting of the European Virus Bioinformatics Center (EVBC), we have published this Special Issue on Virus Bioinformatics.
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