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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 2020-04-24, 08:52 based on data in: /Volumes/web/seashell/bu-mox/scrubbed/032820-lambda/lambda_tg

        General Statistics

        Showing 18/18 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        Meth10_R1_001_val_1
        1.4%
        1.4%
        1.4%
        27.6
        63.5%
        2.7%
        Meth11_R1_001_val_1
        1.3%
        1.3%
        1.5%
        11.7
        48.5%
        1.2%
        Meth12_R1_001_val_1
        1.4%
        1.4%
        1.3%
        34.5
        52.8%
        2.1%
        Meth13_R1_001_val_1
        0.9%
        0.6%
        0.8%
        198.0
        6.3%
        Meth14_R1_001_val_1
        0.9%
        0.5%
        0.8%
        128.9
        6.4%
        Meth15_R1_001_val_1
        0.9%
        0.6%
        0.8%
        275.2
        8.4%
        Meth16_R1_001_val_1
        1.5%
        1.5%
        1.2%
        134.5
        74.0%
        18.8%
        Meth17_R1_001_val_1
        1.4%
        1.4%
        1.2%
        78.0
        83.8%
        15.8%
        Meth18_R1_001_val_1
        1.5%
        1.5%
        1.3%
        94.4
        82.5%
        23.5%
        Meth1_R1_001_val_1
        2.8%
        Meth2_R1_001_val_1
        0.9%
        Meth3_R1_001_val_1
        2.3%
        Meth4_R1_001_val_1
        13.9%
        Meth5_R1_001_val_1
        8.9%
        Meth6_R1_001_val_1
        12.3%
        Meth7_R1_001_val_1
        1.9%
        Meth8_R1_001_val_1
        2.1%
        Meth9_R1_001_val_1
        2.0%

        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.