SEP 12, 2018 12:00 PM PDT

Antimicrobial Resistance Identification, Strain Typing, and Assay Design with CLC Genomics Workbench

SPONSORED BY: QIAGEN
C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Senior Scientist, Microbial Genomics, QIAGEN
    Biography
      Winnie Ridderberg, a microbiologist, received her doctoral degree from Aarhus University, Denmark. Winnie has almost a decade's experience in clinical microbiology, from working at the Department of Clinical Microbiology at Aarhus University Hospital. Winnie's primary research interest has been the microbiology of cystic fibrosis with specific focus on bacterial evolution and microbiome studies. Winnie joined QIAGEN Bioinformatics in early 2017 as a research scientist at the Microbial Genomics team.

    Abstract:

    Whole genome sequencing of bacterial isolates via next-generation sequencing is becoming a standard approach for clinical microbiology and bio-surveillance labs seeking to conduct outbreak investigations and genomic characterization of isolates. Knowing the identity of a pathogen, subtype, and potential antimicrobial resistance markers it may carry is essential for monitoring pathogens. 

    CLC Genomics Workbench, along with the CLC Microbial Genomics Module, provides functionalities for molecular subtyping and epidemiological analyses of bacterial isolates in an easy to use, graphical user interface. In this webinar, we will demonstrate how to carry out taxonomic identification, multi locus sequence typing (MLST), identification of antimicrobial resistance (AMR) markers, and investigation suspect pathogens via SNP based phylogenetic analyses with associated sample metadata. We will also show how such analyses can be streamlined into a preconfigured workflow that ensures ease-of-use, reproducibility, and scalability to any sample throughput.

    Learning Objectives: 

    1. Assign sequence type and taxonomy
    2. Detect antimicrobial resistance genes
    3. Perform outbreak analyses


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