2021
Sight of parasitoid wasps accelerates sexual behavior and upregulates a micropeptide gene in Drosophila
Ebrahim SAM, Talross GJS, Carlson JR. Sight of parasitoid wasps accelerates sexual behavior and upregulates a micropeptide gene in Drosophila. Nature Communications 2021, 12: 2453. PMID: 33907186, PMCID: PMC8079388, DOI: 10.1038/s41467-021-22712-0.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PhysiologicalAnimalsAnimals, Genetically Modifiedbeta-Carotene 15,15'-MonooxygenaseCarnivoryDrosophilaDrosophila melanogasterDrosophila ProteinsDrosophila simulansFemaleFertilityGene Expression RegulationMaleNeuronsPattern Recognition, VisualReceptors, Ionotropic GlutamateReceptors, OdorantSexual Behavior, AnimalWaspsConceptsWasp speciesParasitoid waspsParasitoid wasp speciesInsect speciesAdult DrosophilaInsect worldMating behaviorMutational analysisGene expressionFemale fliesWaspsGenesDrosophilaSpeciesFliesDramatic upregulationDefensive responsesWidespread deathVisual circuitsInsectsMicropeptidesBehavioral responsesNervous systemHundreds of thousandsUnexpected responses
2020
Statistical Methods in Genome-Wide Association Studies
Sun N, Zhao H. Statistical Methods in Genome-Wide Association Studies. Annual Review Of Biomedical Data Science 2020, 3: 1-24. DOI: 10.1146/annurev-biodatasci-030320-041026.Peer-Reviewed Original ResearchGenome-wide association studiesAssociation studiesTraits of interestGenetic architectureIdentification of variantsGWAS dataStatistical methodologyStatistical challengesGenetic risk prediction modelsGenetic markersStatistical methodsHuman diseasesPhenotype informationGenetic variantsTraitsGenotype informationScientific goalsRecent progressGenesVariantsTens of thousandsHundreds of thousandsPrediction modelPathwayThousands
2019
Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape
Hie B, Cho H, DeMeo B, Bryson B, Berger B. Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape. Cell Systems 2019, 8: 483-493.e7. PMID: 31176620, PMCID: PMC6597305, DOI: 10.1016/j.cels.2019.05.003.Peer-Reviewed Original ResearchConceptsSingle-cell transcriptomic landscapeSingle-cell RNA sequencing studiesSingle-cell omicsCell typesSeq data integrationSingle-cell data analysisRare cell typesRNA sequencing studiesScRNA-seq dataTranscriptional diversityTranscriptomic landscapeBiological cell typesTranscriptomic heterogeneitySequencing studiesRare subpopulationAnalysis pipelineCellsUmbilical cord bloodEssential stepInflammatory macrophagesOmicsComprehensive visualizationDiversityGeometric sketchHundreds of thousands
2017
Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks
Li YH, Li D, Samusik N, Wang X, Guan L, Nolan GP, Wong H. Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks. PLOS Computational Biology 2017, 13: e1005875. PMID: 29281633, PMCID: PMC5760091, DOI: 10.1371/journal.pcbi.1005875.Peer-Reviewed Original Research
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