MAY 21, 2020 11:00 AM PDT

Robust, Reproducible & Interactive QC, Cell Population Identification, and Biomarker Discovery in Cytometry Data

Speaker
  • Professor of Medical Genetics at the University of British Columbia and a Distinguished Scientist at BC Cancer
    Biography
      Dr. Brinkman's research is focused on developing and applying flow cytometry bioinformatics approaches for big data, and has published over 50 peer-reviewed papers in the field. He has led ISAC's Data Standards Task Force since 2005, including the development of the latest versions of the FCS standard used by all cytometers as well as the MIFlowCyt minimum annotation standard recommended by several journals including from Nature, PLOS and Wiley. In 2012 Dr. Brinkman launched FlowRepository, the only public repository for FCM data, with a focus in peer-reviewed publications. Dr. Brinkman has been recognized as an ISAC Scholar, a Terry Fox Research Institute Scholar and a Michael Smith Foundation for Health Research Scholar, and was honoured in 2018 with an ISAC Distinguished Service Award. He is a Professor of Medical Genetics at the University of British Columbia and a Distinguished Scientist at BC Cancer.

    Abstract

    DATE: May 21, 2020

    TIME:  11:00am PT

     

    Manual analysis of flow cytometry data is subjective and time consuming, especially for clinical research samples. Automated algorithms have reached a level of maturity that enables them to match and, in many cases, exceed the results produced by human experts. The current state-of-the-art will be reviewed through example applications of these algorithms in automating the entire data analysis pipeline. Examples will include automated quality checking at the event and sample level, rapid, robust and reproducible gating and biomarker discovery algorithms. The utility of these algorithms will be shown through their application to clinical research samples for basic research, clinical trials and drug discovery.

     

    Learning Objectives:

    Review example applications of automated analysis algorithms for:

    • Data quality checking
    • Reproducible gating
    • Biomarker discovery

     

     

    Webinars will be available for unlimited on-demand viewing after live event.

     

    LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.


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