2007
The DART classification of unannotated transcription within the ENCODE regions: Associating transcription with known and novel loci
Rozowsky JS, Newburger D, Sayward F, Wu J, Jordan G, Korbel JO, Nagalakshmi U, Yang J, Zheng D, Guigó R, Gingeras TR, Weissman S, Miller P, Snyder M, Gerstein MB. The DART classification of unannotated transcription within the ENCODE regions: Associating transcription with known and novel loci. Genome Research 2007, 17: 732-745. PMID: 17567993, PMCID: PMC1891334, DOI: 10.1101/gr.5696007.Peer-Reviewed Original Research
2001
Global Analysis of Protein Activities Using Proteome Chips
Zhu H, Bilgin M, Bangham R, Hall D, Casamayor A, Bertone P, Lan N, Jansen R, Bidlingmaier S, Houfek T, Mitchell T, Miller P, Dean R, Gerstein M, Snyder M. Global Analysis of Protein Activities Using Proteome Chips. Science 2001, 293: 2101-2105. PMID: 11474067, DOI: 10.1126/science.1062191.Peer-Reviewed Original ResearchMeSH KeywordsAmino Acid MotifsAmino Acid SequenceCalmodulinCalmodulin-Binding ProteinsCell MembraneCloning, MolecularFungal ProteinsGlucoseLiposomesMembrane ProteinsMolecular Sequence DataOpen Reading FramesPeptide LibraryPhosphatidylcholinesPhosphatidylinositolsPhospholipidsProtein BindingProteomeRecombinant Fusion ProteinsSaccharomyces cerevisiaeSignal TransductionStreptavidinConceptsYeast proteome microarraysDiverse biochemical activitiesOpen reading framePotential binding motifsProtein-drug interactionsEukaryotic proteomesYeast proteomeProteome chipsPosttranslational modificationsReading frameCorresponding proteinNew calmodulinProtein activityBinding motifBiochemical activityProteome microarrayProteinProteomeMicroarrayCalmodulinGlobal analysisMotifPhospholipidsActivity
2000
Olfactory Receptor Database: a sensory chemoreceptor resource
Skoufos E, Marenco L, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a sensory chemoreceptor resource. Nucleic Acids Research 2000, 28: 341-343. PMID: 10592268, PMCID: PMC102443, DOI: 10.1093/nar/28.1.341.Peer-Reviewed Original ResearchMeSH KeywordsBase SequenceChemoreceptor CellsDatabases, FactualMolecular Sequence DataOlfactory MucosaUser-Computer Interface
1999
Large-scale analysis of the yeast genome by transposon tagging and gene disruption
Ross-Macdonald P, Coelho P, Roemer T, Agarwal S, Kumar A, Jansen R, Cheung K, Sheehan A, Symoniatis D, Umansky L, Heidtman M, Nelson F, Iwasaki H, Hager K, Gerstein M, Miller P, Roeder G, Snyder M. Large-scale analysis of the yeast genome by transposon tagging and gene disruption. Nature 1999, 402: 413-418. PMID: 10586881, DOI: 10.1038/46558.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDNA Transposable ElementsEscherichia coliFungal ProteinsGene Expression ProfilingGenetic TechniquesGenome, FungalMolecular Sequence DataMutagenesisOligonucleotide Array Sequence AnalysisOpen Reading FramesPhenotypePolymerase Chain ReactionSaccharomyces cerevisiaeTransformation, GeneticConceptsGene functionDisruption phenotypesLarge-scale analysisNon-annotated open reading framesGenome-wide analysisOpen reading frameSingle genetic backgroundTransposon taggingYeast genomeYeast mutantsGenomic scaleYeast SaccharomycesDifferent growth conditionsProtein localizationGene disruptionReading frameGene expressionFunctional analysisVegetative growthGenetic backgroundGenesGenomeTransposonGrowth conditionsYeast
1991
Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm
Miller P, Nadkarni P, Carriero N. Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm. Bioinformatics 1991, 7: 71-78. PMID: 2004277, DOI: 10.1093/bioinformatics/7.1.71.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAmino Acid SequenceComputer SystemsMathematical ComputingMolecular Sequence DataProgramming LanguagesSoftware DesignConceptsSequence comparison algorithmAmount of computationMachine-independent parallel programming languageComparison algorithmsDisk I/OParallel programming languageParallel program runsO bottleneck problemDifferent parallel machinesBiological sequence comparisonNumber of processorsTime-consuming computationProgramming languageParallelization strategyParallel computationParallel machinesProgram design strategiesProgram runBottleneck problemFASTA algorithmFASTAAlgorithmComputationBottleneckGeneral problem