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FEB 24, 2021 3:00 PM PST

Supporting Biomarker Discovery One Cell at a Time - Single cell analysis solutions that drive results and insights

Sponsored by: QIAGEN
C.E. Credits: P.A.C.E. CE Florida CE
Speakers
  • Director, Global Product Management, QIAGEN
    Biography
      Leif Schauser holds a Ph.D. in Plant Molecular Genetics from Aarhus University, Denmark. He did his postdoctoral training in Norwich, UK, before working as a professor in Bioinformatics at Aarhus University. In 2013 Leif joined CLC bio, just before its acquisition by QIAGEN.
    • Global Product Manger
      Biography

        Joseph Pearson is the Global Product Manager for QIAGEN OmicSoft products, which enable scientists to harness the breadth of deeply-curated ‘omics data to accelerate biomarker and target discovery research. Prior to joining QIAGEN, he earned his Ph.D at the University of California, San Diego, where he used computational and experimental approaches to decipher cis-regulatory codes controlling epidermal wound responses in Drosophila. During his post-doctoral research at University of North Carolina, Chapel Hill, Dr. Pearson continued to explore the diversity of cis-regulatory mechanisms, using genomics, transgenics, microscopy, and bioinformatics to isolate and dissect enhancers responsible for early nervous system gene expression.


      Abstract

      Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.

      Learning Objectives:

      1. How to analyze scRNA-saq data without a bioinformatician or learning code

      2. How to leverage automatic cell annotation to streamline your workflow

      3. How to quickly comb millions of cells to identify


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