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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 1.12

        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 2025-03-15, 13:15 based on data in: /home/shared/16TB_HDD_01/sr320/github/project-oyster-oa/analyses/Haws-14

        General Statistics

        Showing 24/24 rows and 3/4 columns.
        Sample Name% mCpGM C's% Dups
        zr3644_10_pe
        10.8%
        696.0
        11.5%
        zr3644_11_pe
        10.4%
        750.9
        11.3%
        zr3644_12_pe
        9.6%
        636.2
        10.9%
        zr3644_13_pe
        10.4%
        732.6
        11.6%
        zr3644_14_pe
        11.7%
        501.9
        10.2%
        zr3644_15_pe
        11.1%
        797.1
        11.4%
        zr3644_16_pe
        10.5%
        654.0
        11.8%
        zr3644_17_pe
        10.4%
        771.5
        11.8%
        zr3644_18_pe
        10.6%
        700.1
        10.7%
        zr3644_19_pe
        10.2%
        672.8
        10.2%
        zr3644_1_pe
        9.7%
        674.3
        12.0%
        zr3644_20_pe
        10.3%
        732.7
        11.6%
        zr3644_21_pe
        10.3%
        696.3
        11.2%
        zr3644_22_pe
        10.4%
        649.0
        11.2%
        zr3644_23_pe
        10.2%
        539.5
        11.1%
        zr3644_24_pe
        10.3%
        718.5
        11.4%
        zr3644_2_pe
        10.1%
        759.6
        12.1%
        zr3644_3_pe
        10.3%
        535.7
        9.9%
        zr3644_4_pe
        10.0%
        670.0
        11.3%
        zr3644_5_pe
        10.3%
        609.9
        10.4%
        zr3644_6_pe
        10.3%
        724.4
        11.7%
        zr3644_7_pe
        10.4%
        1120.2
        10.9%
        zr3644_8_pe
        10.5%
        574.7
        10.4%
        zr3644_9_pe
        10.8%
        602.5
        12.0%

        Bismark

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.DOI: 10.1093/bioinformatics/btr167.

        Deduplication

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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 v1.12 - Written by Phil Ewels, available on GitHub.

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