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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 2022-08-28, 11:04 based on data in: /gscratch/scrubbed/strigg/analyses/20220826

        General Statistics

        Showing 20/20 rows and 5/6 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Aligned
        16C_26psu_1_S13_R1_001_val_1
        77.4%
        0.7%
        1.2%
        366.6
        38.5%
        16C_26psu_2_S14_R1_001_val_1
        78.4%
        0.7%
        1.4%
        299.3
        39.7%
        16C_26psu_3_S15_R1_001_val_1
        79.0%
        0.8%
        2.7%
        255.4
        39.5%
        16C_26psu_4_S16_R1_001_val_1
        78.5%
        0.7%
        1.5%
        280.2
        39.4%
        16C_32psu_1_S1_R1_001_val_1
        78.3%
        0.7%
        1.3%
        300.0
        39.6%
        16C_32psu_2_S2_R1_001_val_1
        77.5%
        0.7%
        1.6%
        299.5
        43.4%
        16C_32psu_3_S3_R1_001_val_1
        77.8%
        0.7%
        1.5%
        210.4
        41.3%
        16C_32psu_4_S4_R1_001_val_1
        77.6%
        0.7%
        1.1%
        308.5
        40.0%
        8C_26psu_1_S9_R1_001_val_1
        78.4%
        0.8%
        1.3%
        313.0
        39.1%
        8C_26psu_2_S10_R1_001_val_1
        78.0%
        0.7%
        1.2%
        328.5
        42.4%
        8C_26psu_3_S11_R1_001_val_1
        78.8%
        0.7%
        1.4%
        252.1
        40.5%
        8C_26psu_4_S12_R1_001_val_1
        77.3%
        0.8%
        1.8%
        251.7
        39.7%
        8C_32psu_1_S5_R1_001_val_1
        78.1%
        0.7%
        1.5%
        183.9
        39.7%
        8C_32psu_2_S6_R1_001_val_1
        77.5%
        0.7%
        1.2%
        213.8
        40.1%
        8C_32psu_3_S7_R1_001_val_1
        77.2%
        0.7%
        1.4%
        219.3
        40.1%
        8C_32psu_4_S8_R1_001_val_1
        76.3%
        0.7%
        0.9%
        261.4
        38.4%
        CTRL_16C_26psu_1_S19_R1_001_val_1
        78.8%
        0.7%
        1.2%
        289.2
        36.9%
        CTRL_16C_26psu_2_S21_R1_001_val_1
        79.7%
        0.9%
        1.5%
        177.4
        36.8%
        CTRL_8C_26psu_1_S17_R1_001_val_1
        78.0%
        0.7%
        1.1%
        260.8
        42.5%
        CTRL_8C_26psu_2_S18_R1_001_val_1
        79.5%
        0.7%
        2.0%
        216.8
        39.4%

        Bismark

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

        Alignment Rates

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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.