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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 1.0.dev0

        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 2021-03-30, 08:03 based on data in:

        General Statistics

        Showing 8/8 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        zr3616_1_R1_val_1_val_1_val_1
        10.8%
        0.5%
        0.6%
        1528.9
        23.9%
        62.0%
        zr3616_2_R1_val_1_val_1_val_1
        10.7%
        0.5%
        0.6%
        1552.7
        24.6%
        61.7%
        zr3616_3_R1_val_1_val_1_val_1
        11.1%
        0.5%
        0.6%
        1576.0
        25.4%
        61.5%
        zr3616_4_R1_val_1_val_1_val_1
        11.1%
        0.5%
        0.6%
        1774.9
        25.1%
        61.8%
        zr3616_5_R1_val_1_val_1_val_1
        10.6%
        0.5%
        0.6%
        1340.3
        22.6%
        61.7%
        zr3616_6_R1_val_1_val_1_val_1
        10.9%
        0.5%
        0.6%
        1606.4
        26.4%
        61.5%
        zr3616_7_R1_val_1_val_1_val_1
        11.5%
        0.5%
        0.6%
        1366.0
        22.6%
        61.7%
        zr3616_8_R1_val_1_val_1_val_1
        11.0%
        0.5%
        0.6%
        1477.0
        23.4%
        61.6%

        Bismark

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

        Alignment Rates

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        Deduplication

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        Strand Alignment

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        Cytosine Methylation

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        M-Bias

        This plot shows the average percentage methylation and coverage across reads. See the bismark user guide for more information on how these numbers are generated.

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        MultiQC v1.0.dev0 - Written by Phil Ewels, available on GitHub.

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