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UID:20251007T135915EDT-8274eT8dc1@132.216.98.100
DTSTAMP:20251007T175915Z
DESCRIPTION:Meaningful use of pathogen genomic data: Tracking bacterial mob
 ile elements using published sequences\n\nTaj Azarian\, University of Cent
 ral Florida\n	Tuesday September 7\, 12-1pm\n	Zoom Link: https://mcgill.zoom.
 us/j/85428056343\n\nAbstract: Published genomic datasets are increasing ex
 ponentially as sequencing becomes more accessible due to decreasing cost. 
 Yet\, there is tendency to generate new data when approaching a research q
 uestion\, even if a suitable dataset may exist. One limitation to leveragi
 ng publish genomic data for metanalyses is the difficulty in searching myr
 iad public repositories for genomes of interest. Thankfully\, newly develo
 ped tools are facilitating this task by allowing rapid querying of extant 
 published genomes. Here\, we present one example of using these tools to t
 rack a genomic element of interest. By querying all published bacterial ge
 nomes for the gene that encodes exfoliative toxin A\, an epidermolytic tox
 in found in Staphylococcus aureus that is associated with staphylococcal s
 calded-skin syndrome\, we gain a new understanding of the global distribut
 ion of strains harboring this toxin. In addition\, we present a new paradi
 gm for globally tracking mobile genetic elements associated with epidemiol
 ogical important phenotypes.\n\nShort Bio: Dr. Taj Azarian is currently an
  assistant professor at the Burnett School of Biomedical Science\, Univers
 ity of Central Florida. His lab uses pathogen genomics to investigate the 
 emergence and spread of bacterial infectious diseases\, with a specific in
 terest in antibiotic-resistant pathogens that are frequent causes of healt
 hcare-associated infections. To accomplish this\, they use a variety of to
 ols including epidemiology\, bioinformatics\, computational biology\, popu
 lation genomics\, and phylogenetics. The Azarian lab’s goal is to understa
 nd the factors that contribute to pathogen success and to develop new geno
 mic epidemiological methods to detect\, monitor\, and combat the growing t
 hreat of antimicrobial resistance.\n
DTSTART:20210907T160000Z
DTEND:20210907T170000Z
LOCATION:CA\, QC
SUMMARY:QLS Seminar Series - Taj Azarian
URL:/qls/channels/event/qls-seminar-series-taj-azarian
 -332286
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