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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 1.8

        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 2021-03-12, 23:58 based on data in: /gscratch/scrubbed/sr320/030521-ronrosM

        General Statistics

        Showing 10/10 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        zr3534_10_R1
        9.8%
        0.4%
        0.5%
        942.3
        18.5%
        61.9%
        zr3534_1_R1
        10.2%
        0.5%
        0.5%
        923.4
        18.5%
        61.6%
        zr3534_2_R1
        10.2%
        0.5%
        0.5%
        911.3
        18.3%
        61.2%
        zr3534_3_R1
        11.5%
        0.5%
        0.5%
        966.7
        17.8%
        61.0%
        zr3534_4_R1
        11.0%
        0.5%
        0.5%
        905.8
        17.9%
        61.4%
        zr3534_5_R1
        11.1%
        0.5%
        0.5%
        1001.9
        18.7%
        61.4%
        zr3534_6_R1
        10.2%
        0.5%
        0.5%
        910.7
        18.1%
        60.8%
        zr3534_7_R1
        9.9%
        0.5%
        0.5%
        815.3
        16.5%
        61.1%
        zr3534_8_R1
        10.1%
        0.5%
        0.5%
        1036.4
        20.6%
        61.3%
        zr3534_9_R1
        9.8%
        0.5%
        0.5%
        903.2
        17.6%
        61.8%

        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 v1.8 - Written by Phil Ewels, available on GitHub.

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