2023
Genomic evidence of sex chromosome aneuploidy and infection-associated genotypes in the tsetse fly Glossina fuscipes, the major vector of African trypanosomiasis in Uganda
Saarman N, Son J, Zhao H, Cosme L, Kong Y, Li M, Wang S, Weiss B, Echodu R, Opiro R, Aksoy S, Caccone A. Genomic evidence of sex chromosome aneuploidy and infection-associated genotypes in the tsetse fly Glossina fuscipes, the major vector of African trypanosomiasis in Uganda. Infection Genetics And Evolution 2023, 114: 105501. PMID: 37709241, PMCID: PMC10593118, DOI: 10.1016/j.meegid.2023.105501.Peer-Reviewed Original ResearchConceptsGenome-wide association analysisNovel vector control strategiesAnimal African trypanosomiasisSex chromosome aneuploidyNatural populationsGenome assemblySex chromosomesGenomic regionsGenomic evidenceGenetic variationBp upstreamAutosomal SNPsSeq dataTrypanosome infectionTrypanosome parasitesAssociation analysisMolecular pathwaysAssembly metricsLinkage disequilibriumLecithin-cholesterol acyltransferaseAfrican trypanosomiasisMajor vectorGenomeSNPsPrimary vector
2013
Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics
Khurana E, Fu Y, Colonna V, Mu XJ, Kang HM, Lappalainen T, Sboner A, Lochovsky L, Chen J, Harmanci A, Das J, Abyzov A, Balasubramanian S, Beal K, Chakravarty D, Challis D, Chen Y, Clarke D, Clarke L, Cunningham F, Evani US, Flicek P, Fragoza R, Garrison E, Gibbs R, Gümüş ZH, Herrero J, Kitabayashi N, Kong Y, Lage K, Liluashvili V, Lipkin SM, MacArthur DG, Marth G, Muzny D, Pers TH, Ritchie GRS, Rosenfeld JA, Sisu C, Wei X, Wilson M, Xue Y, Yu F, Consortium 1, Dermitzakis ET, Yu H, Rubin MA, Tyler-Smith C, Gerstein M. Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics. Science 2013, 342: 1235587. PMID: 24092746, PMCID: PMC3947637, DOI: 10.1126/science.1235587.Peer-Reviewed Original Research
2011
Analysis of genomic variation in non-coding elements using population-scale sequencing data from the 1000 Genomes Project
Mu XJ, Lu ZJ, Kong Y, Lam HY, Gerstein MB. Analysis of genomic variation in non-coding elements using population-scale sequencing data from the 1000 Genomes Project. Nucleic Acids Research 2011, 39: 7058-7076. PMID: 21596777, PMCID: PMC3167619, DOI: 10.1093/nar/gkr342.Peer-Reviewed Original Research
2009
Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants
Du J, Bjornson RD, Zhang ZD, Kong Y, Snyder M, Gerstein MB. Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants. PLOS Computational Biology 2009, 5: e1000432. PMID: 19593373, PMCID: PMC2700963, DOI: 10.1371/journal.pcbi.1000432.Peer-Reviewed Original ResearchConceptsDifferent read lengthsDifferent technologiesSemi-realistic simulationComputational complexityMaximum accuracyAssembly algorithmReconstruction efficiencySimulation toolboxPersonal genomicsAccurate detectionLow costChallenging stepTechnologyCostAlgorithmAccurate assemblyComplexitySmall enough scalesReconstructionGoalIndividual genomesCanonical problemImportant goalToolboxSimulations
2007
Keck Foundation Biotechnology Resource Laboratory, Yale University.
Stone KL, Bjornson RD, Blasko GG, Bruce C, Cofrancesco R, Carriero NJ, Colangelo CM, Crawford JK, Crawford JM, daSilva NC, Deluca JD, Elliott JI, Elliott MM, Flory PJ, Folta-Stogniew EJ, Gulcicek E, Kong Y, Lam TT, Lee JY, Lin A, LoPresti MB, Mane SM, McMurray WJ, Tikhonova IR, Westman S, Williams NA, Wu TL, Hongyu Z, Williams KR. Keck Foundation Biotechnology Resource Laboratory, Yale University. The Yale Journal Of Biology And Medicine 2007, 80: 195-211. PMID: 18449392, PMCID: PMC2347368.Peer-Reviewed Original Research