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RVdb integrates high quality virus strain data, nucleotide sequence, protein sequence, 3D protein structure and literature related to RV. Click here to browse.

  RV is a single-stranded, positive-sense RNA virus belonging to the family Picornavirus, genus Enterovirus. The RNA genome is approximately 7.2 kb in length and...

Multiple Sequence Alignment

Users can perform multiple sequence alignments through RVdb and visualize the alignment results.

Phylogenetic Tree Construction

RVdb can perform automatic multiple sequence alignment, pruning of alignment results, automatic optimization and selection of model parameters, and generate a phylogenetic tree that can be beautified online.

RV Sequence Annotation

This function enables faster and more accurate structural annotation of RV nucleic acid sequences.

VP1-based RV Typing

The pipeline can achieve the most accurate RV typing automation, and present the result report.

Real-Time Tracking of Rhinovirus Evolution

This function present a real-time view into the evolution and spread of RV.The accuracy of the predictive results provided by this feature relies on factors such as data quality, sampling biases, and model compatibility. It is intended exclusively for researchers to offer theoretical insights and research directions, and should not be utilized directly for public health decision-making.

Other Resources

Name URL
NCBI https://www.ncbi.nlm.nih.gov/
Uniport https://www.uniprot.org/
PDB https://www.rcsb.org/
PubMed https://pubmed.ncbi.nlm.nih.gov/
Taxonomy Database https://www.ncbi.nlm.nih.gov/taxonomy/?term=

RV related Resources

Name URL
the home of Picornaviruses hosted by The Pirbright Institute https://www.picornaviridae.com/ensavirinae/enterovirus/rv-a/rv-a.htm
Picornaviridae Study Group https://www.picornastudygroup.com/types/enterovirus/hrv-a.htm
ViralZone https://viralzone.expasy.org/97

Publications and Our Related Works

Zhao P, Zhou SY, Xu PP, et al. RVdb: a comprehensive resource and analysis platform for rhinovirus research. Nucleic Acids Research, 2023
Zhao P, Shao N, Dong J, et al. Genetic diversity and characterization of rhinoviruses from Chinese clinical samples with a global perspective. Microbiol Spectr. 2023