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    Category Archives: RNA-seq data analysis

    RNA-seq data analysis, Single Cell Analysis
    BioTuring Browser: the software to resolve major challenges in single-cell RNA-seq data analysis
    by biomembers • December 5, 2018 September 21, 2020

    Single-cell RNA-seq technologies have opened up a completely new era for transcriptomic studies. For the first time ever, scientists can look at individual transcriptomic profiles of millions of cells, and better understand how each cell functions in a tissue. Yet science is confronting bigger challenges analyzing these massive amounts of […]

    Data visualization and analysis, Principal component analysis, RNA-seq data analysis
    How to read PCA biplots and scree plots
    by Linh Ngo • June 18, 2018 September 21, 2020

    Principal component analysis (PCA) has been gaining popularity as a tool to bring out strong patterns from complex biological datasets. We have answered the question “What is a PCA?” in this jargon-free blog post — check it out for a simple explanation of how PCA works. In a nutshell, PCA capture […]

    Data visualization and analysis, Principal component analysis, RNA-seq data analysis, Single Cell Analysis
    Principal component analysis explained simply
    by Linh Ngo • June 14, 2018 December 5, 2018

    As we are entering the era of Big Data, everyone and their moms seem to be talking about PCA. All the papers you read mention PCA (with lots of jargon, of course). Half of the seminars you’ve been to this month touch on PCA. Your boss/collaborators suggest trying PCA on your data. “What […]

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