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 StatementsConceptsExpensive softwareData generationMultiple platformsGenomic data generationEfficient waySuch dataPossible informationGenome sequencing technologiesKind of analysisData analysisFungal dataUsersDifferent environmentsMicroarray dataBioinformaticistsCostExperimental costSoftwareProtocolBottleneckPlatformTaskTechnologyDataAcademia
2009
Measuring Transcription Factor–Binding Site Turnover: A Maximum Likelihood Approach Using Phylogenies
Otto W, Stadler PF, López-Giraldéz F, Townsend JP, Lynch VJ, Wagner GP. Measuring Transcription Factor–Binding Site Turnover: A Maximum Likelihood Approach Using Phylogenies. Genome Biology And Evolution 2009, 1: 85-98. PMID: 20333180, PMCID: PMC2817405, DOI: 10.1093/gbe/evp010.Peer-Reviewed Original ResearchTranscription factor-binding sitesCis-regulatory elementsHOXA clusterSelective pressureGene expression evolutionMethionine biosynthesis pathwayLow sequence similarityFactor-binding sitesClade-specific differencesTurnover rateExpression evolutionSpecies treeBiosynthesis pathwayRelated speciesSequence similaritySite turnoverDifferent organismsSequence evolutionTranscription factorsDifferent cladesFungal dataProgesterone response elementMaximum likelihood modelVertebratesTurnover