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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 2021-02-17, 12:02 based on data in:

        General Statistics

        Showing 24/24 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        zr3644_10_R1_val_1_val_1_val_1
        10.9%
        0.5%
        0.5%
        673.0
        12.0%
        61.1%
        zr3644_11_R1_val_1_val_1_val_1
        10.6%
        0.5%
        0.5%
        726.2
        11.9%
        61.1%
        zr3644_12_R1_val_1_val_1_val_1
        9.8%
        0.5%
        0.5%
        612.8
        11.3%
        61.8%
        zr3644_13_R1_val_1_val_1_val_1
        10.5%
        0.5%
        0.5%
        708.9
        12.2%
        61.5%
        zr3644_14_R1_val_1_val_1_val_1
        11.9%
        0.5%
        0.5%
        486.7
        10.7%
        62.0%
        zr3644_15_R1_val_1_val_1_val_1
        11.2%
        0.5%
        0.5%
        771.5
        12.0%
        61.7%
        zr3644_16_R1_val_1_val_1_val_1
        10.6%
        0.5%
        0.5%
        634.5
        12.4%
        62.1%
        zr3644_17_R1_val_1_val_1_val_1
        10.5%
        0.5%
        0.5%
        750.7
        12.6%
        61.7%
        zr3644_18_R1_val_1_val_1_val_1
        10.7%
        0.5%
        0.5%
        681.0
        11.2%
        62.3%
        zr3644_19_R1_val_1_val_1_val_1
        10.3%
        0.5%
        0.5%
        652.1
        10.8%
        61.8%
        zr3644_1_R1_val_1_val_1_val_1
        9.7%
        0.5%
        0.5%
        656.2
        12.5%
        62.1%
        zr3644_20_R1_val_1_val_1_val_1
        10.4%
        0.5%
        0.5%
        704.7
        12.1%
        60.9%
        zr3644_21_R1_val_1_val_1_val_1
        10.5%
        0.5%
        0.5%
        671.3
        11.7%
        61.3%
        zr3644_22_R1_val_1_val_1_val_1
        10.5%
        0.5%
        0.5%
        628.8
        11.7%
        62.0%
        zr3644_23_R1_val_1_val_1_val_1
        10.3%
        0.5%
        0.5%
        523.8
        11.6%
        62.0%
        zr3644_24_R1_val_1_val_1_val_1
        10.4%
        0.5%
        0.5%
        696.6
        12.0%
        62.2%
        zr3644_2_R1_val_1_val_1_val_1
        10.3%
        0.5%
        0.5%
        734.7
        12.7%
        61.1%
        zr3644_3_R1_val_1_val_1_val_1
        10.4%
        0.5%
        0.5%
        519.7
        10.4%
        61.2%
        zr3644_4_R1_val_1_val_1_val_1
        10.1%
        0.5%
        0.5%
        647.5
        11.8%
        61.4%
        zr3644_5_R1_val_1_val_1_val_1
        10.5%
        0.5%
        0.5%
        589.4
        10.9%
        61.4%
        zr3644_6_R1_val_1_val_1_val_1
        10.4%
        0.5%
        0.5%
        700.9
        12.2%
        61.8%
        zr3644_7_R1_val_1_val_1_val_1
        10.6%
        0.5%
        0.5%
        1077.8
        11.5%
        61.1%
        zr3644_8_R1_val_1_val_1_val_1
        10.7%
        0.5%
        0.5%
        558.4
        10.9%
        61.4%
        zr3644_9_R1_val_1_val_1_val_1
        10.9%
        0.5%
        0.5%
        585.2
        12.6%
        61.5%

        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.

        loading..

        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.