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  • 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

    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.

    REGISTRATION https://www.partek.com/webinar/revea...ulti-omics/?SA

    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
    Genetic Variation in Immunogenetics and Antibody Diversity
    by seqadmin



    The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...
    11-06-2024, 07:24 PM
  • seqadmin
    Choosing Between NGS and qPCR
    by seqadmin



    Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...
    10-18-2024, 07:11 AM

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