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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 2022-11-11, 17:31 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
        74.2%
        1.2%
        6.5%
        120.5
        35.1%
        50.3%
        CH01_14_S2_R1
        68.6%
        1.6%
        12.0%
        83.6
        40.8%
        46.6%
        CH01_22_S3_R1
        67.1%
        1.2%
        7.7%
        134.2
        38.0%
        50.9%
        CH01_38_S4_R1
        68.9%
        1.6%
        11.4%
        88.6
        32.1%
        46.7%
        CH03_04_S5_R1
        12.2%
        2.5%
        35.3%
        64.9
        25.1%
        31.3%
        CH03_15_S6_R1
        20.9%
        1.5%
        18.3%
        79.0
        37.7%
        30.7%
        CH03_33_S7_R1
        73.6%
        1.1%
        5.3%
        127.5
        35.9%
        50.5%
        CH05_01_S8_R1
        52.9%
        2.0%
        25.6%
        91.9
        27.9%
        40.3%
        CH05_06_S9_R1
        7.5%
        1.4%
        16.3%
        57.8
        46.0%
        29.6%
        CH05_21_S10_R1
        65.0%
        1.3%
        11.8%
        112.5
        36.0%
        50.6%
        CH05_24_S11_R1
        72.4%
        1.5%
        13.0%
        142.0
        34.7%
        50.4%
        CH07_06_S12_R1
        65.5%
        1.3%
        8.5%
        125.1
        34.5%
        48.6%
        CH07_11_S13_R1
        8.3%
        1.6%
        12.7%
        74.6
        41.2%
        30.6%
        CH07_24_S14_R1
        7.5%
        1.6%
        13.7%
        77.5
        46.5%
        33.6%
        CH09_02_S15_R1
        69.2%
        1.8%
        14.7%
        85.8
        31.7%
        45.1%
        CH09_13_S16_R1
        46.9%
        1.9%
        18.7%
        54.3
        75.8%
        50.9%
        CH09_28_S17_R1
        68.7%
        1.7%
        7.3%
        109.0
        34.1%
        50.3%
        CH10_01_S18_R1
        71.6%
        1.4%
        7.1%
        97.4
        29.1%
        52.0%
        CH10_08_S19_R1
        32.7%
        1.8%
        26.2%
        73.7
        26.1%
        38.4%
        CH10_11_S20_R1
        68.5%
        1.5%
        11.6%
        98.7
        31.7%
        48.4%

        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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