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Jun, Se-Ran

One or more keywords matched the following properties of Jun, Se-Ran

Property	Value
keywords	Microbial Genomics and Microbiome Science
keywords	Pathogen Surveillance and Epidemiology
research overview	I am a data scientist and bioinformatician with a strong foundation in mathematics. My research focuses on the integration and analysis of both non-omics and multi-omics data—including microbiome, genomics, metabolomics, lipidomics, DNA methylation, proteomics, RNA-seq, single-cell RNA-seq, and Tn-seq—using advanced machine learning and statistical learning methodologies. In addition, I am involved in pathogen surveillance research, leveraging genomics and microbiome data to monitor and track infectious threats. My laboratory is dedicated to real-time surveillance of antimicrobial-resistant pathogens, particularly in immunocompromised patient populations. We integrate high-dimensional omics data with electronic health records (EHRs) to drive actionable insights and support precision medicine initiatives in infectious disease and antimicrobial resistance.

One or more keywords matched the following items that are connected to Jun, Se-Ran

Item Type	Name
Concept	Molecular Epidemiology
Concept	Metagenome
Academic Article	Global Genomic Epidemiology of Salmonella enterica Serovar Typhimurium DT104.
Academic Article	PanFP: pangenome-based functional profiles for microbial communities.
Academic Article	Abiotic Stresses Shift Belowground Populus-Associated Bacteria Toward a Core Stress Microbiome.
Academic Article	Sample storage conditions induce post-collection biases in microbiome profiles.
Grant	Molecular Epidemiology of Vancomycin Resistant Enterococcus faecium in Cancer Patients
Academic Article	Effects of Housing Types on Cecal Microbiota of Two Different Strains of Laying Hens During the Late Production Phase.
Academic Article	Multi-Omic Analysis Reveals Different Effects of Sulforaphane on the Microbiome and Metabolome in Old Compared to Young Mice.
Academic Article	AACR Annual Meeting
Academic Article	Top-Down Genomic Surveillance Approach To Investigate the Genomic Epidemiology and Antibiotic Resistance Patterns of Enterococcus faecium Detected in Cancer Patients in Arkansas.

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