2021
Identifying modules of cooperating cancer drivers
Klein MI, Cannataro VL, Townsend JP, Newman S, Stern DF, Zhao H. Identifying modules of cooperating cancer drivers. Molecular Systems Biology 2021, 17: msb20209810. PMID: 33769711, PMCID: PMC7995435, DOI: 10.15252/msb.20209810.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationDatabases, GeneticDNA Copy Number VariationsGenes, NeoplasmHumansMutationNeoplasmsConceptsCancer typesNRAS-mutant melanomaCombination of alterationsMultiple cancer typesClinical outcomesNFE2L2 mutationsIndividual patientsDriver alterationsEffective personalized treatmentPathway inhibitionTherapeutic potentialCancer etiologyPersonalized treatmentTumor formationTCGA cancer typesAlterationsPatientsCancer driversEtiologyMelanomaCancer
2015
Utility of characters evolving at diverse rates of evolution to resolve quartet trees with unequal branch lengths: analytical predictions of long-branch effects
Su Z, Townsend JP. Utility of characters evolving at diverse rates of evolution to resolve quartet trees with unequal branch lengths: analytical predictions of long-branch effects. BMC Ecology And Evolution 2015, 15: 86. PMID: 25968460, PMCID: PMC4429678, DOI: 10.1186/s12862-015-0364-7.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremBiological EvolutionComputer SimulationLikelihood FunctionsModels, GeneticPhylogenyConceptsGeneralized signalCorrect treeAnalytical predictionsNoise analysisDifferent inference methodsBayesian approachLength spaceInference methodsQuartet treesMaximum likelihoodSimulation studyBranch lengthsInferenceModel treePhylogenetic inferenceUtility of charactersAsymmetrical topologyLong-branch effectsConvergenceTopologyPredictionSpaceSignalsEvolution
2013
Evaluating Phylogenetic Informativeness as a Predictor of Phylogenetic Signal for Metazoan, Fungal, and Mammalian Phylogenomic Data Sets
López-Giráldez F, Moeller AH, Townsend JP. Evaluating Phylogenetic Informativeness as a Predictor of Phylogenetic Signal for Metazoan, Fungal, and Mammalian Phylogenomic Data Sets. BioMed Research International 2013, 2013: 621604. PMID: 23878813, PMCID: PMC3708382, DOI: 10.1155/2013/621604.Peer-Reviewed Original ResearchConceptsPhylogenomic data setsPhylogenetic informativenessPhylogenetic signalEffects of homoplasyPoor phylogenetic resolutionPhylogenetic resolutionSister cladeOutgroup taxaPhylogenetic researchTaxonomic groupsPhylogenetic inferenceAdvantageous genesGenesMetazoansCladeTaxaDiverse groupDiverse time scalesHomoplasyHaphazard samplingMammalsFungiOrganismsFungalMarkers
2012
Reevaluation of Epidemiological Data Demonstrates That It Is Consistent With Cross-Immunity Among Human Papillomavirus Types
Durham DP, Poolman EM, Ibuka Y, Townsend JP, Galvani AP. Reevaluation of Epidemiological Data Demonstrates That It Is Consistent With Cross-Immunity Among Human Papillomavirus Types. The Journal Of Infectious Diseases 2012, 206: 1291-1298. PMID: 22872732, PMCID: PMC3448971, DOI: 10.1093/infdis/jis494.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationCross ProtectionFemaleHumansModels, StatisticalPapillomaviridaePapillomavirus InfectionsConceptsHuman papillomavirus typesEpidemiological dataHPV typesOdds ratioPapillomavirus typesType replacementSpecific HPV typesHPV types 16Future vaccine studiesHPV vaccinationHPV infectionVaccine studiesEpidemiological observationsType 16Single infectionType 18Multiple infectionsType 6Cross immunityVaccinationInfectionPrevalenceEpidemiological modelEpidemiological dynamicsHPVCodon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance
Zhang Z, Li J, Cui P, Ding F, Li A, Townsend JP, Yu J. Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics 2012, 13: 43. PMID: 22435713, PMCID: PMC3368730, DOI: 10.1186/1471-2105-13-43.Peer-Reviewed Original ResearchConceptsCodon usage biasNucleotide compositionUsage biasGenome evolutionGene functionProtein functionCodon usageNatural selectionCodon positionsTranslational efficiencySelective pressureSequence compositionGene expressionSequence analysisSimulated sequencesSequenceGenomeGenesFundamental importanceMutationsInformative estimationExpression
2009
Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences
Zhang Z, Townsend JP. Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLOS Computational Biology 2009, 5: e1000421. PMID: 19557160, PMCID: PMC2695770, DOI: 10.1371/journal.pcbi.1000421.Peer-Reviewed Original ResearchConceptsInformation criterionModel averagingBayesian information criterionMaximum likelihood methodModel likelihoodModel uncertaintyModel selectionDescription of clustersLevel of clusteringPrecision of estimationAkaike information criterionParameter rangeCluster countsLikelihood methodComputational biologyCluster sizeGood accuracyConquer strategyAveragingClusteringModelHierarchical clusteringClustersStatisticsEstimation
2005
A Bayesian method for analysing spotted microarray data
Meiklejohn CD, Townsend JP. A Bayesian method for analysing spotted microarray data. Briefings In Bioinformatics 2005, 6: 318-330. PMID: 16420731, DOI: 10.1093/bib/6.4.318.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements