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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 1.4

        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 2018-01-25, 14:47 based on data in: /data/home/jhearn1/Daphnia/Bisulphite/MultiQC


        General Statistics

        Showing 12/12 rows and 5/7 columns.
        Sample Name% mCpGM C'sC Coverage% Dups% Aligned
        16H.1_val_1
        0.8%
        483.0
        23.45X
        33.7%
        70.6%
        16L.1_val_1
        0.8%
        418.3
        20.27X
        29.2%
        65.6%
        22H.1_val_1
        0.8%
        473.9
        23.53X
        35.6%
        72.0%
        22L.1_val_1
        0.9%
        366.3
        19.83X
        38.0%
        71.6%
        5H.1_val_1
        0.7%
        341.0
        18.97X
        31.5%
        74.1%
        5L.1_val_1
        0.7%
        300.6
        15.26X
        28.2%
        63.8%
        7H.1_val_1
        0.8%
        417.7
        21.84X
        31.1%
        73.8%
        7L.1_val_1
        0.7%
        304.5
        15.70X
        30.9%
        72.0%
        8H.1_val_1
        0.7%
        338.1
        18.87X
        33.2%
        74.1%
        8L.1_val_1
        0.8%
        423.2
        21.63X
        32.4%
        70.1%
        9H.1_val_1
        0.8%
        426.2
        21.26X
        32.6%
        72.9%
        9L.1_val_1
        0.8%
        473.3
        23.12X
        34.0%
        69.9%

        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

        All samples were run with --directional mode; alignments to complementary strands (CTOT, CTOB) were ignored.

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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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