Featured Publications
Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences
Osman M, Mahieu R, Eveillard M. Machine-learning approaches prevent post-treatment resistance-gaining bacterial recurrences. Trends In Microbiology 2022, 30: 612-614. PMID: 35599112, DOI: 10.1016/j.tim.2022.05.006.Peer-Reviewed Original Research
2022
Whole Genome Analyses Accurately Identify Neisseria spp. and Limit Taxonomic Ambiguity
Khoder M, Osman M, Kassem I, Rafei R, Shahin A, Fournier P, Rolain J, Hamze M. Whole Genome Analyses Accurately Identify Neisseria spp. and Limit Taxonomic Ambiguity. International Journal Of Molecular Sciences 2022, 23: 13456. PMID: 36362240, PMCID: PMC9657967, DOI: 10.3390/ijms232113456.Peer-Reviewed Original ResearchConceptsDraft genomeComplete genome sequenceWhole-genome analysisNCBI GenBank databaseMatrix-assisted laser desorptionGenomic toolsPhylogenetic relationshipsTaxonomic ambiguityBacterial taxonomyGenome sequenceGenome analysisGenomic levelTaxonomic relationshipsTaxonomic toolGenBank databaseGenome sequencingGenomeLaser desorptionSpeciesNeisseria sppWGS analysisSppNeisseriaSequencingStrains
2017
Typing and comparative genome analysis of Brucella melitensis isolated from Lebanon
Zaki N, Salloum T, Osman M, Rafei R, Hamze M, Tokajian S. Typing and comparative genome analysis of Brucella melitensis isolated from Lebanon. FEMS Microbiology Letters 2017, 364: fnx199. PMID: 28961704, DOI: 10.1093/femsle/fnx199.Peer-Reviewed Original ResearchConceptsGenome analysisLateral gene transferComparative genome analysisDraft genome sequencingWhole-genome single nucleotide polymorphism (SNP) analysisB. melitensisZoonotic disease brucellosisDepth genomic characterizationMultiple virulence determinantsSingle nucleotide polymorphism analysisNucleotide polymorphism analysisSequence divergenceGenome comparisonGenomic islandsSingle nucleotide polymorphismsGenetic variationGenomic characterizationDisease brucellosisGene transferMobile elements