2024
A new lineage nomenclature to aid genomic surveillance of dengue virus
Hill V, Cleemput S, Pereira J, Gifford R, Fonseca V, Tegally H, Brito A, Ribeiro G, de Souza V, Brcko I, Ribeiro I, De Lima I, Slavov S, Sampaio S, Elias M, Tran V, Kien D, Huynh T, Yacoub S, Dieng I, Salvato R, Wallau G, Gregianini T, Godinho F, Vogels C, Breban M, Leguia M, Jagtap S, Roy R, Hapuarachchi C, Mwanyika G, Giovanetti M, Alcantara L, Faria N, Carrington C, Hanley K, Holmes E, Dumon W, Lima A, de Oliveira T, Grubaugh N. A new lineage nomenclature to aid genomic surveillance of dengue virus. PLOS Biology 2024, 22: e3002834. PMID: 39283942, PMCID: PMC11426435, DOI: 10.1371/journal.pbio.3002834.Peer-Reviewed Original ResearchConceptsGenomic surveillanceSub-genotype levelPartial genome sequencesDengue virusViral genomic diversityClade sizeGenome sequenceGenomic diversityPhylogenetic studiesPhylogenetic distanceSequence dataMinor lineageVirus classificationLineagesSurveillance of dengue virusDiversityAssignment toolComplex patternsVirusCladeSequenceGeographical areasGenotypesNomenclatureEndemic settings
2022
Genomics-informed outbreak investigations of SARS-CoV-2 using civet
O’Toole Á, Hill V, Jackson B, Dewar R, Sahadeo N, Colquhoun R, Rooke S, McCrone J, Duggan K, McHugh M, Nicholls S, Poplawski R, Consortium T, Project C, Aanensen D, Holden M, Connor T, Loman N, Goodfellow I, Carrington C, Templeton K, Rambaut A. Genomics-informed outbreak investigations of SARS-CoV-2 using civet. PLOS Global Public Health 2022, 2: e0000704. PMID: 36962792, PMCID: PMC10021969, DOI: 10.1371/journal.pgph.0000704.Peer-Reviewed Original ResearchWealth of sequence dataGenomic surveillance effortsInvestigation of SARS-CoV-2Outbreak investigationPhylogenetic resultsGenomic informationSequence dataVirus diversityPublic health bodiesCivetSARS-CoV-2Distribution reportsSequenceHealth bodiesCluster discoveryDiversityPublic healthSimilarity analysisSARS-CoV-2 pandemicSurveillance effortsGlobal datasetVirusLocal surveillanceLocal outbreaksNational level
2021
CLIMB-COVID: continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance
Nicholls S, Poplawski R, Bull M, Underwood A, Chapman M, Abu-Dahab K, Taylor B, Colquhoun R, Rowe W, Jackson B, Hill V, O’Toole Á, Rey S, Southgate J, Amato R, Livett R, Gonçalves S, Harrison E, Peacock S, Aanensen D, Rambaut A, Connor T, Loman N. CLIMB-COVID: continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance. Genome Biology 2021, 22: 196. PMID: 34210356, PMCID: PMC8247108, DOI: 10.1186/s13059-021-02395-y.Peer-Reviewed Original Research
2019
Bayesian Estimation of Past Population Dynamics in BEAST 1.10 Using the Skygrid Coalescent Model
Hill V, Baele G. Bayesian Estimation of Past Population Dynamics in BEAST 1.10 Using the Skygrid Coalescent Model. Molecular Biology And Evolution 2019, 36: 2620-2628. PMID: 31364710, PMCID: PMC6805224, DOI: 10.1093/molbev/msz172.Peer-Reviewed Original ResearchCoalescence modelAnalysis of molecular sequencesEffective population sizeMolecular sequence dataPopulation dynamicsMolecular clock modelBayesian analysis of molecular sequencesPhylogenetic treeSequence dataMolecular sequencesPopulation sizeCross-platform programBayesian analysisClock modelMarkov chain Monte CarloBayesian inferenceBEASTBayesian estimationSkygridSequenceDrawing inferenceTrees