2014
HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads
Li P, Jiang X, Wang S, Kim J, Xiong H, Ohno-Machado L. HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads. Journal Of The American Medical Informatics Association 2014, 21: 363-373. PMID: 24368726, PMCID: PMC3932469, DOI: 10.1136/amiajnl-2013-002147.Peer-Reviewed Original ResearchConceptsBase quality valuesCompression algorithmStorage savingsGenome compressionSequence Alignment/Map (SAM) formatCompression ratioNovel compression algorithmComparable compression ratioCompression mechanismK-means clusteringDifferent reference genomesQuality valuesDecompression qualityLossless compressionExecution timeCompression rateAligned readsMap formatAlgorithmBiomedical communityDifferent quality valuesExperimental datasetsAdaptive schemeStorage capabilityArchiving
2013
Differential Expression of miR-145 in Children with Kawasaki Disease
Shimizu C, Kim J, Stepanowsky P, Trinh C, Lau H, Akers J, Chen C, Kanegaye J, Tremoulet A, Ohno-Machado L, Burns J. Differential Expression of miR-145 in Children with Kawasaki Disease. PLOS ONE 2013, 8: e58159. PMID: 23483985, PMCID: PMC3590129, DOI: 10.1371/journal.pone.0058159.Peer-Reviewed Original ResearchMeSH KeywordsArteriesBase SequenceChildChild, PreschoolCluster AnalysisGene Expression RegulationHumansInfantMicroRNAsModels, BiologicalMolecular Sequence DataMucocutaneous Lymph Node SyndromeReal-Time Polymerase Chain ReactionSequence AlignmentSequence Analysis, DNASignal TransductionTransforming Growth Factor betaConceptsTGF-β pathwayGene expressionMiR-145Small non-coding RNAsKawasaki disease pathogenesisExtracellular vesiclesSmall RNA speciesPost-transcriptional levelDiscovery of microRNAsKawasaki diseaseNon-coding RNAsExpression of genesDisease pathogenesisSmall extracellular vesiclesSmall RNAsRNA speciesTarget genesTop pathwaysVascular smooth muscle cellsPathway analysisDifferentiation of neutrophilsDifferential expressionMicroRNAsArterial wallGeneration of myofibroblastsNucleotide sequence alignment using sparse coding and belief propagation
Roozgard A, Barzigar N, Wang S, Jiang X, Ohno-Machado L, Cheng S. Nucleotide sequence alignment using sparse coding and belief propagation. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2013, 2013: 588-591. PMID: 24109755, PMCID: PMC3909563, DOI: 10.1109/embc.2013.6609568.Peer-Reviewed Original Research
2006
Approximation properties of haplotype tagging
Vinterbo S, Dreiseitl S, Ohno-Machado L. Approximation properties of haplotype tagging. BMC Bioinformatics 2006, 7: 8. PMID: 16401341, PMCID: PMC1395335, DOI: 10.1186/1471-2105-7-8.Peer-Reviewed Original ResearchConceptsApproximation propertiesCombinatorial optimization problemsOptimization problemImplementable algorithmComputational effortSolution qualityTerms of complexitySimple algorithmSize m.Population membersSingle processor machineAlgorithmProblemAsymptoticsApproximationProcessor machineHaplotype taggingNPsUnique identification
2005
Representation in stochastic search for phylogenetic tree reconstruction
Weber G, Ohno-Machado L, Shieber S. Representation in stochastic search for phylogenetic tree reconstruction. Journal Of Biomedical Informatics 2005, 39: 43-50. PMID: 16359929, DOI: 10.1016/j.jbi.2005.11.001.Peer-Reviewed Original Research