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        Note that additional data was saved in multiqc_data when this report was generated.

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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 2021-06-14, 13:10 based on data in: /gscratch/scrubbed/sr320/061421-oly

        General Statistics

        Showing 8/8 rows and 4/6 columns.
        Sample Name% mCpGM C's% Dups% Aligned
        1_ATCACG_L001_R1_001
        29.3%
        21.7
        11.8%
        47.1%
        2_CGATGT_L001_R1_001
        28.7%
        26.7
        13.0%
        46.6%
        3_TTAGGC_L001_R1_001
        29.3%
        26.4
        13.8%
        47.1%
        4_TGACCA_L001_R1_001
        29.9%
        26.5
        12.2%
        47.0%
        5_ACAGTG_L001_R1_001
        28.5%
        27.9
        13.7%
        46.8%
        6_GCCAAT_L001_R1_001
        27.8%
        27.9
        13.1%
        46.8%
        7_CAGATC_L001_R1_001
        28.3%
        23.7
        10.9%
        46.8%
        8_ACTTGA_L001_R1_001
        26.4%
        31.6
        13.8%
        46.5%

        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.