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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 2022-11-22, 11:19 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_L001_R1_001_val_1
        74.6%
        1.2%
        6.5%
        65.5
        32.6%
        50.9%
        CH01_14_S2_L001_R1_001_val_1
        69.0%
        1.6%
        12.5%
        46.8
        37.9%
        47.0%
        CH01_22_S3_L001_R1_001_val_1
        67.6%
        1.1%
        7.8%
        73.7
        34.6%
        51.1%
        CH01_38_S4_L001_R1_001_val_1
        69.2%
        1.6%
        11.8%
        46.4
        31.4%
        47.0%
        CH03_04_S5_L001_R1_001_val_1
        12.6%
        2.6%
        36.8%
        32.9
        24.8%
        31.9%
        CH03_15_S6_L001_R1_001_val_1
        21.2%
        1.5%
        18.1%
        42.0
        35.3%
        30.9%
        CH03_33_S7_L001_R1_001_val_1
        73.9%
        1.1%
        5.3%
        67.0
        34.2%
        51.0%
        CH05_01_S8_L001_R1_001_val_1
        53.4%
        2.1%
        26.5%
        47.4
        27.6%
        40.9%
        CH05_06_S9_L001_R1_001_val_1
        7.6%
        1.3%
        15.4%
        33.5
        40.1%
        29.7%
        CH05_21_S10_L001_R1_001_val_1
        65.3%
        1.2%
        12.0%
        57.8
        35.3%
        50.8%
        CH05_24_S11_L001_R1_001_val_1
        72.8%
        1.5%
        13.3%
        75.9
        33.3%
        50.6%
        CH07_06_S12_L001_R1_001_val_1
        65.8%
        1.3%
        8.5%
        65.5
        33.0%
        49.3%
        CH07_11_S13_L001_R1_001_val_1
        8.4%
        1.5%
        12.5%
        40.0
        37.7%
        30.7%
        CH07_24_S14_L001_R1_001_val_1
        7.6%
        1.5%
        13.5%
        43.4
        40.6%
        33.8%
        CH09_02_S15_L001_R1_001_val_1
        69.4%
        1.8%
        15.4%
        44.9
        31.1%
        44.2%
        CH09_13_S16_L001_R1_001_val_1
        48.7%
        1.7%
        15.6%
        36.8
        68.2%
        51.1%
        CH09_28_S17_L001_R1_001_val_1
        69.0%
        1.7%
        7.5%
        57.2
        32.6%
        50.7%
        CH10_01_S18_L001_R1_001_val_1
        71.8%
        1.4%
        7.2%
        50.2
        28.2%
        52.1%
        CH10_08_S19_L001_R1_001_val_1
        32.9%
        1.8%
        26.5%
        36.3
        26.0%
        38.5%
        CH10_11_S20_L001_R1_001_val_1
        68.6%
        1.5%
        12.0%
        50.5
        31.1%
        48.9%

        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

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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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