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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 2020-03-23, 10:53 based on data in: /gscratch/scrubbed/sr320/031520-TG-100g/Pact_tg

        General Statistics

        Showing 9/9 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        Meth1_R1_001_val_1
        3.3%
        1.2%
        1.2%
        459.8
        55.4%
        48.8%
        Meth2_R1_001_val_1
        3.1%
        1.2%
        1.2%
        614.7
        47.9%
        51.5%
        Meth3_R1_001_val_1
        3.4%
        1.2%
        1.2%
        509.0
        49.8%
        47.4%
        Meth4_R1_001_val_1
        2.4%
        0.9%
        1.0%
        2362.6
        59.2%
        Meth5_R1_001_val_1
        1.8%
        0.6%
        0.7%
        4957.4
        62.1%
        Meth6_R1_001_val_1
        2.4%
        0.8%
        0.9%
        2304.4
        59.4%
        Meth7_R1_001_val_1
        25.1%
        1.6%
        1.7%
        352.4
        55.1%
        32.1%
        Meth8_R1_001_val_1
        41.7%
        1.9%
        2.5%
        166.5
        53.2%
        15.5%
        Meth9_R1_001_val_1
        20.4%
        1.7%
        1.8%
        322.2
        55.2%
        33.2%

        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.