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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.9

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2022-10-20, 23:30 based on data in:

        General Statistics

        Showing 30/30 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        C1-MGI
        62.4%
        5.8
        C2-MGI
        39.4%
        3.5
        C3-MGI
        39.5%
        8.5
        C6-UoB
        48.3%
        12.8
        C7-UoB
        39.6%
        8.3
        C8-UoB
        33.1%
        8.2
        D1-MGI
        66.5%
        9.1
        D2-MGI
        65.0%
        7.1
        D3-MGI
        64.7%
        19.3
        D6-UoB
        64.3%
        12.4
        D7-UoB
        58.1%
        16.6
        D8-UoB
        60.6%
        12.8
        DF1-MGI
        91.6%
        8.8
        DF2-MGI
        88.2%
        4.6
        DF3-MGI
        93.0%
        10.5
        DF4-UoB
        58.9%
        27.3
        DF5-UoB
        58.2%
        31.3
        DF6-UoB
        57.2%
        27.0
        DM1-MGI
        91.5%
        13.7
        DM2-MGI
        91.9%
        14.0
        DM3-MGI
        91.7%
        22.0
        DM4-UoB
        52.5%
        32.7
        DM5-UoB
        51.9%
        21.3
        DM6-UoB
        51.0%
        28.1
        X1-MGI
        86.7%
        13.6
        X2-MGI
        88.2%
        1.1
        X3-MGI
        88.7%
        15.5
        X7-UoB
        82.8%
        15.9
        X8-UoB
        84.9%
        18.1
        X9-UoB
        80.8%
        20.0

        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        MultiQC v1.9 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.