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  • Webinar: Revealing Rare Cell Types Through Single Cell Multiomics – A COVID-19 Study

    February 17, 2022
    3:00 p.m. SGT, 2:00 p.m. GMT, or 2:00 p.m. EST

    REGISTRATION
    Learn how to analyze and visualize integrated gene and protein expression data, identify cell types, and study cell composition.


    The single cell omics field started by profiling gene expression on individual cells (scRNA-Seq), but has since evolved to incorporate additional assays, giving birth to single cell multiomics. The most popular single cell multiomics techniques merge gene and protein expression data (feature barcoding or CITE-Seq), providing synergistic molecular insights. However, the complexity of both the data and data analysis pose major obstacles, forcing scientists to focus on “how to”, instead of focusing on the biological question at hand.
    In this webinar, we will walk through the analysis of data obtained from patients with multisystem inflammatory syndrome in children (MIS-C), a rare but dangerous complication of COVID-19.

    Key topics:
    • Integrated analysis of gene and protein expression data.
    • Identify cell types not detectable by examining only gene or only protein data.
    • Use interactive visualization to explore gene expression, protein expression, and both gene and protein expression combined.
    • Study cell composition at different stages of the disease.

Latest Articles

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  • seqadmin
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    03-22-2024, 06:39 AM
  • seqadmin
    Techniques and Challenges in Conservation Genomics
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    The field of conservation genomics centers on applying genomics technologies in support of conservation efforts and the preservation of biodiversity. This article features interviews with two researchers who showcase their innovative work and highlight the current state and future of conservation genomics.

    Avian Conservation
    Matthew DeSaix, a recent doctoral graduate from Kristen Ruegg’s lab at The University of Colorado, shared that most of his research...
    03-08-2024, 10:41 AM

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