Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes

8 May 2019

Abstract excerpt

In recent years, an increasing number of outbreaks of Dengue, Chikungunya and Zika viruses have been reported in Asia and the Americas.Monitoring virus genotype diversity is crucial to understand the emergence and spread of outbreaks, both aspects that are vital to develop effective prevention and treatment strategies.Hence, we developed an efficient method to classify virus sequences with respect to their...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Dengue and Mosquito Control Research
Share to Mosquito-borne diseases and control
Share to Vibrio bacteria research studies

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31067235
DOI: 10.1371/journal.pntd.0007231

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypesPMID 31067235Read ↗

Accurate Recapitulation of Chikungunya Virus Complete Coding Sequence Phylogeny Using Variable Genome Regions for Genomic Surveillance.Semantic proximity Read ↗

Identification of Dengue virus serotype and genotype: A comprehensive study from AIIMS Patna, Bihar.Semantic proximity Read ↗

Molecular Investigation of DENV serotypes in the dengue outbreak of 2022 in NepalSemantic proximity Read ↗

Pathogen Sequence Signature Analysis (PSSA): A software tool for analyzing sequences to identify microorganism genotypesSemantic proximity Read ↗

Genomic Characterization of Mosquito Isolates of Chikungunya Virus (Outbreak Strains 2022) Using Next-Generation SequencingSemantic proximity Read ↗

Phylogenetically based establishment of a dengue virus panel, representing all available genotypes, as a tool in dengue drug discoverySemantic proximity Read ↗

Whole genome sequencing, variant analysis, phylogenetics, and deep sequencing of Zika virus strainsSemantic proximity Read ↗

Forecasting the Species of Major Contagious Viruses Through Deep Learning and Data Wrangling MethodologySemantic proximity Read ↗

Application of a targeted-enrichment methodology for full-genome sequencing of Dengue 1-4, Chikungunya and Zika viruses directly from patient samplesSemantic proximity Read ↗

Viral Metagenomics for the Identification of Emerging Infections in Clinical Samples with Inconclusive Dengue, Zika, and Chikungunya Viral AmplificationSemantic proximity Read ↗

Genomic analysis of dengue virus serotype 1 (DENV-1) genotypes from Surabaya, Indonesia.Semantic proximity Read ↗

Phylogenetic and sequencing analysis of Chikungunya virus strains from local Pakistani population.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.