2015
H-CLAP: hierarchical clustering within a linear array with an application in genetics
Ghosh S, Townsend JP. H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications In Genetics And Molecular Biology 2015, 14: 125-141. PMID: 25803088, DOI: 10.1515/sagmb-2013-0076.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBayes TheoremCluster AnalysisComputational BiologyGene Expression ProfilingGeneticsOligonucleotide Array Sequence Analysis
2013
Sex-linked transcriptional divergence in the hermaphrodite fungus Neurospora tetrasperma
Samils N, Gioti A, Karlsson M, Sun Y, Kasuga T, Bastiaans E, Wang Z, Li N, Townsend JP, Johannesson H. Sex-linked transcriptional divergence in the hermaphrodite fungus Neurospora tetrasperma. Proceedings Of The Royal Society B 2013, 280: 20130862. PMID: 23782882, PMCID: PMC3712418, DOI: 10.1098/rspb.2013.0862.Peer-Reviewed Original ResearchMeSH KeywordsBiological EvolutionChromosomes, FungalDisorders of Sex DevelopmentGene Expression Regulation, FungalGenes, Mating Type, FungalGenome, FungalNeurosporaOligonucleotide Array Sequence AnalysisPhenotypeRecombination, GeneticConceptsMating typesFilamentous ascomycete Neurospora tetraspermaNeurospora tetraspermaMating-type locusGene expression levelsExpression divergenceTranscriptional divergencePhenotypic divergenceFungal AnaloguesRecombinational suppressionMat ASequence divergenceN. tetraspermaMale developmentDivergent regionsFemale developmentMolecular phenotypesGenesSexual dimorphismMale tissuesExpression levelsDivergencePhenotypeAgar mediumGenome
2011
Getting the Most Out of Your Fungal Microarray Data: Two Cost- and Time-Effective Methods
Mathioni SM, Beló A, Townsend JP, Donofrio NM. Getting the Most Out of Your Fungal Microarray Data: Two Cost- and Time-Effective Methods. Methods In Molecular Biology 2011, 722: 61-77. PMID: 21590413, DOI: 10.1007/978-1-61779-040-9_5.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAscomycotaBayes TheoremComputational BiologyData Interpretation, StatisticalFungal ProteinsGene Expression ProfilingModels, StatisticalOligonucleotide Array Sequence AnalysisSoftwareTime FactorsConceptsExpensive softwareData generationMultiple platformsGenomic data generationEfficient waySuch dataPossible informationGenome sequencing technologiesKind of analysisData analysisFungal dataUsersDifferent environmentsMicroarray dataBioinformaticistsCostExperimental costSoftwareProtocolBottleneckPlatformTaskTechnologyDataAcademiaSIR2 and other genes are abundantly expressed in long-lived natural segregants for replicative aging of the budding yeast Saccharomyces cerevisiae
Guo Z, Adomas AB, Jackson ED, Qin H, Townsend JP. SIR2 and other genes are abundantly expressed in long-lived natural segregants for replicative aging of the budding yeast Saccharomyces cerevisiae. FEMS Yeast Research 2011, 11: 345-355. PMID: 21306556, DOI: 10.1111/j.1567-1364.2011.00723.x.Peer-Reviewed Original ResearchMeSH KeywordsCell CycleCell ProliferationGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalHSP30 Heat-Shock ProteinsHydrogen PeroxideMicrobial ViabilityMitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsOligonucleotide Array Sequence AnalysisPhenotypePolymerase Chain ReactionSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeSirtuin 2Up-RegulationConceptsReplicative agingWhole genome gene expressionNatural S. cerevisiaeExpression levelsLife span variationDifferential expression levelsDifferent expression levelsEffects of genesNatural populationsYeast SaccharomycesOrganelle organizationS. cerevisiaeGene expressionNatural variationCell cycleStress responseSir2Mitochondrial functionGenesSaccharomycesAllelic associationSpan variationProgenyMetabolic responseTim17
2010
Multi-targeted priming for genome-wide gene expression assays
Adomas AB, Lopez-Giraldez F, Clark TA, Wang Z, Townsend JP. Multi-targeted priming for genome-wide gene expression assays. BMC Genomics 2010, 11: 477. PMID: 20716356, PMCID: PMC3091673, DOI: 10.1186/1471-2164-11-477.Peer-Reviewed Original ResearchMeSH KeywordsDNA PrimersGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalMetabolic Networks and PathwaysMyceliumNeurospora crassaNitrogenOligonucleotide Array Sequence AnalysisReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionRNA, FungalRNA, MessengerSaccharomyces cerevisiaeSequence Analysis, RNAConceptsGene expressionGene expression assaysNeurospora crassaRibosomal RNAExpression assaysMost protein-coding genesEarly sexual developmentGenome-wide gene expressionTransfer RNA genesProtein-coding genesNitrogen starvation responseGenome of SaccharomycesPreponderance of genesGlobal gene expressionResponse of SaccharomycesCommon sequence motifsSexual developmentDetailed expression profilesReverse transcriptionRNA genesStarvation responseTag sequencingSequence motifsTransfer RNATranscriptomic assaysLOX: inferring Level Of eXpression from diverse methods of census sequencing
Zhang Z, López-Giráldez F, Townsend JP. LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics 2010, 26: 1918-1919. PMID: 20538728, PMCID: PMC2905554, DOI: 10.1093/bioinformatics/btq303.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyExpressed Sequence TagsGene Expression ProfilingGene Expression Regulation, FungalOligonucleotide Array Sequence AnalysisSoftwareConceptsTranscriptomic sequencing data
2009
The filamentous fungal gene expression database (FFGED)
Zhang Z, Townsend JP. The filamentous fungal gene expression database (FFGED). Fungal Genetics And Biology 2009, 47: 199-204. PMID: 20025988, PMCID: PMC2822089, DOI: 10.1016/j.fgb.2009.12.001.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsChromosome MappingComputational BiologyComputer GraphicsDatabase Management SystemsDatabases, GeneticGene ExpressionGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalGenome, FungalInternetModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSequence AlignmentSoftwareSystems IntegrationUser-Computer InterfaceConceptsEfficient web interfaceExpression databaseUser-friendly managementCollection of toolsGene expression databaseDifferent usersData sharingWeb interfaceCollaborative platformExperimental metadataFree databaseRaw dataData submissionUsersMultiple experimentsGene expression dataSharingDatabaseEssential informationAjaxMetadataExpression dataDifferent experimentsRetrievalRelated experiments
2008
HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0
Cheung KH, Yip KY, Townsend JP, Scotch M. HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal Of Biomedical Informatics 2008, 41: 694-705. PMID: 18487092, PMCID: PMC2933816, DOI: 10.1016/j.jbi.2008.04.001.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBiological Science DisciplinesDatabase Management SystemsDelivery of Health CareEnvironmental PollutionGeographic Information SystemsHumansHypermediaInformation DisseminationInformation Storage and RetrievalInterdisciplinary CommunicationInternetNatural Language ProcessingNeoplasmsOligonucleotide Array Sequence AnalysisPublic Health InformaticsSoftware DesignSystems IntegrationUser-Computer InterfaceConceptsData mashupSemantic WebWeb 2.0Google MapsData integration tasksWeb 3.0 technologiesInformation system interfaceLife science domainWeb 2.0 technologiesWeb 2.0 toolsSet of technologiesGeographic information system interfaceMashup technologySemantic mashupWeb 2.0/3.0Data integrationMashupsSystem interfaceScience domainIntegration taskYahooHealth dataPublic health dataWebMicroarray research
2007
Enabling a Community to Dissect an Organism: Overview of the Neurospora Functional Genomics Project
Dunlap JC, Borkovich KA, Henn MR, Turner GE, Sachs MS, Glass NL, McCluskey K, Plamann M, Galagan JE, Birren BW, Weiss RL, Townsend JP, Loros JJ, Nelson MA, Lambreghts R, Colot HV, Park G, Collopy P, Ringelberg C, Crew C, Litvinkova L, DeCaprio D, Hood HM, Curilla S, Shi M, Crawford M, Koerhsen M, Montgomery P, Larson L, Pearson M, Kasuga T, Tian C, Baştürkmen M, Altamirano L, Xu J. Enabling a Community to Dissect an Organism: Overview of the Neurospora Functional Genomics Project. Advances In Genetics 2007, 57: 49-96. PMID: 17352902, PMCID: PMC3673015, DOI: 10.1016/s0065-2660(06)57002-6.Peer-Reviewed Original ResearchMeSH KeywordsBase SequenceChromosome MappingDNA, FungalGene DeletionGene Expression ProfilingGene LibraryGenetic TechniquesGenome, FungalGenomicsMutationNeurosporaOligonucleotide Array Sequence AnalysisPhenotypePolymorphism, Single NucleotideConceptsFunctional genomics projectsGenomics projectsFilamentous fungiFilamentous fungus NeurosporaFunctional genomic analysisNon-yeast fungiFunctional genomicsNeurospora genomeFungus NeurosporaNovel genesPositional cloningNeurospora crassaAntisense transcriptsGenomic analysisSNP mapAlternative promotersCDNA libraryExpression analysisGene replacementMutant strainSystematic disruptionExpression dataPhenotypic analysisNeurosporaConditions of growth
2006
Phase-specific gene expression underlying morphological adaptations of the dimorphic human pathogenic fungus, Coccidioides posadasii
Johannesson H, Kasuga T, Schaller RA, Good B, Gardner MJ, Townsend JP, Cole GT, Taylor JW. Phase-specific gene expression underlying morphological adaptations of the dimorphic human pathogenic fungus, Coccidioides posadasii. Fungal Genetics And Biology 2006, 43: 545-559. PMID: 16697669, DOI: 10.1016/j.fgb.2006.02.003.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, BiologicalCoccidioidesGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, FungalLogistic ModelsOligonucleotide Array Sequence AnalysisSpecies SpecificityConceptsGene expressionPhase-specific gene expressionPathogenic phaseNumber of genesConsistent differential expressionOpen reading frameDimorphic fungal pathogenDimorphic human pathogenic fungusHuman pathogenic fungiTranscriptional profilingEntire speciesEnvironmental stressReading frameComparative hybridizationMorphological adaptationsFungal pathogensCandidate genesSaprobic phasePathogenic fungiMetabolism of lipidsDifferential expressionGenesFungal isolatesElevated expressionDevelopmental phases
2005
Long-oligomer microarray profiling in Neurospora crassa reveals the transcriptional program underlying biochemical and physiological events of conidial germination
Kasuga T, Townsend JP, Tian C, Gilbert LB, Mannhaupt G, Taylor JW, Glass NL. Long-oligomer microarray profiling in Neurospora crassa reveals the transcriptional program underlying biochemical and physiological events of conidial germination. Nucleic Acids Research 2005, 33: 6469-6485. PMID: 16287898, PMCID: PMC1283539, DOI: 10.1093/nar/gki953.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBayes TheoremBlotting, NorthernCluster AnalysisDatabases, Nucleic AcidDictyosteliumExpressed Sequence TagsGene Expression ProfilingGenes, FungalNeurospora crassaOligonucleotide Array Sequence AnalysisOligonucleotide ProbesPromoter Regions, GeneticReproducibility of ResultsRNA, MessengerSpores, FungalTranscription, GeneticUstilagoConceptsConidial germinationGene expression levelsNeurospora crassaGene expressionPhytopathogenic fungus Ustilago maydisSocial amoeba Dictyostelium discoideumFilamentous ascomycete speciesPutative regulatory componentFungus Ustilago maydisAmoeba Dictyostelium discoideumExpression levelsAscomycete speciesRibosomal biogenesisRelative gene expression levelsNovel genesTranscriptional programsUstilago maydisTranscriptional profilingDictyostelium discoideumFunctional predictionTranscriptional mechanismsRegulatory componentsFilamentous fungiExpression profilesMicroarray profilingA 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 StatementsMeSH KeywordsAlgorithmsBayes TheoremComputer SimulationGene Expression ProfilingImage Interpretation, Computer-AssistedIn Situ Hybridization, FluorescenceMicroscopy, FluorescenceModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisSoftwareDesigning Experiments Using Spotted Microarrays to Detect Gene Regulation Differences Within and Among Species
Townsend JP, Taylor JW. Designing Experiments Using Spotted Microarrays to Detect Gene Regulation Differences Within and Among Species. Methods In Enzymology 2005, 395: 597-617. PMID: 15865986, DOI: 10.1016/s0076-6879(05)95031-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsDNA, ComplementaryGene Expression RegulationNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisRNA, MessengerSpecies SpecificityConceptsGene expressionGenome-wide gene expressionGene regulation differencesDifferential gene expressionMultiple developmental stagesMultiple environmental conditionsMultiple speciesDevelopmental stagesRegulation differencesSpeciesEnvironmental conditionsMultiple individualsMicroarrayExpressionSuch studiesStatistical powerExperimental protocol
2004
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarrays
Townsend JP. Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarrays. BMC Bioinformatics 2004, 5: 54. PMID: 15128431, PMCID: PMC420235, DOI: 10.1186/1471-2105-5-54.Peer-Reviewed Original ResearchAlgorithmsBayes TheoremEvaluation Studies as TopicGene Expression ProfilingModels, StatisticalOligonucleotide Array Sequence Analysis
2003
Multifactorial experimental design and the transitivity of ratios with spotted DNA microarrays
Townsend JP. Multifactorial experimental design and the transitivity of ratios with spotted DNA microarrays. BMC Genomics 2003, 4: 41. PMID: 14525623, PMCID: PMC239860, DOI: 10.1186/1471-2164-4-41.Peer-Reviewed Original ResearchGene Expression ProfilingOligonucleotide Array Sequence AnalysisOpen Reading FramesReproducibility of ResultsResearch DesignRNA, MessengerPopulation Genetic Variation in Genome-Wide Gene Expression
Townsend JP, Cavalieri D, Hartl DL. Population Genetic Variation in Genome-Wide Gene Expression. Molecular Biology And Evolution 2003, 20: 955-963. PMID: 12716989, DOI: 10.1093/molbev/msg106.Peer-Reviewed Original ResearchMeSH KeywordsDNA Transposable ElementsEvolution, MolecularFungal ProteinsGene ExpressionGenetics, PopulationGenome, FungalMetalsOligonucleotide Array Sequence AnalysisOpen Reading FramesSaccharomyces cerevisiaeConceptsGene expression levelsGene expressionNatural populationsGenetic variationNatural isolatesExpression levelsGenome-wide gene expressionPopulation genetic variationGenome-wide scaleComparative gene expressionDifferential gene expressionDNA microarray technologyAmino acid metabolismWine yeast SaccharomycesSulfur assimilationEvolutionary biologistsGenomic scaleYeast SaccharomycesNatural selectionS. cerevisiaeProtein degradationSuch traitsDifferential reproductionMicroarray technologyOrganic evolution
2002
Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments
Townsend JP, Hartl DL. Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments. Genome Biology 2002, 3: research0071.1. PMID: 12537560, PMCID: PMC151173, DOI: 10.1186/gb-2002-3-12-research0071.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremDNA-Binding ProteinsEthanolGene DeletionGene Expression ProfilingGene Expression Regulation, FungalGenotypeModels, GeneticNuclear ProteinsOligonucleotide Array Sequence AnalysisRNA, FungalRNA, MessengerSaccharomyces cerevisiae ProteinsSpecies SpecificityTranscription FactorsZincConceptsGene of interestExpression levelsGene expression levelsTwofold thresholdGene basisTranscriptional responseMicroarray comparisonsMinimal mediumExpression differencesBiological insightsMicroarray analysisEthanol shockMicroarray dataRelative mRNA levelsGenesMRNA levelsMultiple strainsBayesian analysisDevelopmental state