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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 2021-02-21, 15:02 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
        10.9%
        0.5%
        0.6%
        1535.8
        24.4%
        63.1%
        zr3616_2_R1_val_1_val_1_val_1
        10.8%
        0.5%
        0.6%
        1556.1
        25.0%
        62.6%
        zr3616_3_R1_val_1_val_1_val_1
        11.2%
        0.5%
        0.6%
        1587.5
        25.9%
        62.8%
        zr3616_4_R1_val_1_val_1_val_1
        11.3%
        0.5%
        0.6%
        1779.3
        25.6%
        62.7%
        zr3616_5_R1_val_1_val_1_val_1
        10.7%
        0.5%
        0.6%
        1345.3
        23.1%
        62.7%
        zr3616_6_R1_val_1_val_1_val_1
        11.0%
        0.5%
        0.6%
        1613.0
        26.9%
        62.5%
        zr3616_7_R1_val_1_val_1_val_1
        11.6%
        0.5%
        0.6%
        1370.9
        23.0%
        62.6%
        zr3616_8_R1_val_1_val_1_val_1
        11.2%
        0.5%
        0.6%
        1487.2
        23.8%
        62.7%

        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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