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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 2023-04-25, 14:09 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
        73.4%
        1.3%
        7.0%
        114.3
        35.1%
        47.9%
        CH01_14_S2_R1
        67.7%
        1.7%
        12.8%
        80.1
        40.7%
        44.6%
        CH01_22_S3_R1
        66.2%
        1.2%
        8.2%
        127.4
        38.0%
        48.4%
        CH01_38_S4_R1
        68.1%
        1.6%
        12.2%
        84.8
        32.1%
        44.7%
        CH03_04_S5_R1
        11.4%
        2.5%
        35.4%
        65.9
        26.4%
        31.9%
        CH03_15_S6_R1
        19.4%
        1.5%
        18.4%
        79.3
        38.9%
        31.2%
        CH03_33_S7_R1
        72.5%
        1.1%
        5.6%
        121.2
        36.0%
        48.1%
        CH05_01_S8_R1
        51.8%
        2.1%
        26.6%
        89.6
        27.9%
        39.2%
        CH05_06_S9_R1
        7.0%
        1.4%
        16.0%
        58.2
        47.1%
        30.2%
        CH05_21_S10_R1
        64.1%
        1.3%
        12.5%
        108.0
        36.0%
        48.6%
        CH05_24_S11_R1
        71.6%
        1.6%
        13.9%
        136.0
        34.6%
        48.1%
        CH07_06_S12_R1
        64.1%
        1.3%
        9.0%
        120.3
        34.7%
        47.0%
        CH07_11_S13_R1
        7.8%
        1.6%
        12.7%
        75.3
        42.6%
        31.4%
        CH07_24_S14_R1
        7.0%
        1.6%
        13.7%
        78.6
        48.0%
        34.9%
        CH09_02_S15_R1
        68.4%
        1.8%
        15.6%
        82.8
        31.7%
        43.4%
        CH09_13_S16_R1
        45.8%
        1.9%
        19.7%
        53.2
        75.7%
        49.5%
        CH09_28_S17_R1
        67.6%
        1.7%
        7.8%
        103.9
        34.1%
        48.1%
        CH10_01_S18_R1
        70.8%
        1.4%
        7.7%
        93.3
        29.1%
        49.9%
        CH10_08_S19_R1
        31.2%
        1.8%
        26.8%
        73.2
        26.6%
        38.1%
        CH10_11_S20_R1
        67.7%
        1.5%
        12.3%
        95.1
        31.7%
        46.7%

        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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