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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 1.11

        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 2023-05-31, 21:46 based on data in:


        General Statistics

        Showing 20/20 rows and 6/8 columns.
        Sample Name% mCpG% mCHG% mCHHM C's% Dups% Aligned
        CH01_06_S1_R1
        20.6%
        26.5%
        47.8%
        0.1
        67.3%
        0.3%
        CH01_14_S2_R1
        20.6%
        25.7%
        46.8%
        0.2
        77.1%
        0.6%
        CH01_22_S3_R1
        14.6%
        19.9%
        45.3%
        0.2
        69.2%
        0.4%
        CH01_38_S4_R1
        24.8%
        31.2%
        48.3%
        0.1
        71.8%
        0.5%
        CH03_04_S5_R1
        5.0%
        9.1%
        40.8%
        0.2
        83.0%
        0.9%
        CH03_15_S6_R1
        4.4%
        8.7%
        37.5%
        0.2
        70.2%
        0.5%
        CH03_33_S7_R1
        11.6%
        16.8%
        44.7%
        0.1
        58.9%
        0.2%
        CH05_01_S8_R1
        16.2%
        25.0%
        48.2%
        0.2
        84.0%
        0.8%
        CH05_06_S9_R1
        2.8%
        5.5%
        30.9%
        0.2
        68.4%
        0.4%
        CH05_21_S10_R1
        12.2%
        18.7%
        47.1%
        0.1
        71.8%
        0.4%
        CH05_24_S11_R1
        27.5%
        31.4%
        50.3%
        0.2
        76.4%
        0.5%
        CH07_06_S12_R1
        13.0%
        19.7%
        45.4%
        0.2
        66.5%
        0.4%
        CH07_11_S13_R1
        3.5%
        7.0%
        33.1%
        0.2
        66.0%
        0.4%
        CH07_24_S14_R1
        5.1%
        9.7%
        37.4%
        0.3
        72.9%
        0.5%
        CH09_02_S15_R1
        23.1%
        26.4%
        47.6%
        0.2
        74.2%
        0.6%
        CH09_13_S16_R1
        10.4%
        13.6%
        41.0%
        0.1
        86.5%
        0.4%
        CH09_28_S17_R1
        14.8%
        22.9%
        46.3%
        0.1
        62.8%
        0.3%
        CH10_01_S18_R1
        19.2%
        26.0%
        47.6%
        0.1
        58.9%
        0.4%
        CH10_08_S19_R1
        6.7%
        13.0%
        43.9%
        0.2
        79.0%
        0.7%
        CH10_11_S20_R1
        21.9%
        26.6%
        46.1%
        0.2
        70.6%
        0.5%

        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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