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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, 11:52 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
        74.3%
        1.2%
        6.0%
        60.0
        32.0%
        49.7%
        CH01_14_S2_L001_R1_001_val_1
        68.6%
        1.6%
        10.7%
        41.2
        37.2%
        46.1%
        CH01_22_S3_L001_R1_001_val_1
        67.3%
        1.1%
        7.0%
        68.2
        33.9%
        50.6%
        CH01_38_S4_L001_R1_001_val_1
        68.8%
        1.6%
        10.7%
        43.2
        31.2%
        46.5%
        CH03_04_S5_L001_R1_001_val_1
        11.9%
        2.3%
        34.0%
        32.2
        25.0%
        30.6%
        CH03_15_S6_L001_R1_001_val_1
        20.8%
        1.5%
        17.8%
        40.1
        34.7%
        30.5%
        CH03_33_S7_L001_R1_001_val_1
        73.6%
        1.1%
        5.1%
        63.9
        33.8%
        49.8%
        CH05_01_S8_L001_R1_001_val_1
        52.4%
        1.9%
        24.8%
        44.9
        27.5%
        39.8%
        CH05_06_S9_L001_R1_001_val_1
        7.3%
        1.3%
        14.9%
        31.3
        38.4%
        29.4%
        CH05_21_S10_L001_R1_001_val_1
        65.0%
        1.3%
        11.4%
        55.8
        35.1%
        50.5%
        CH05_24_S11_L001_R1_001_val_1
        72.3%
        1.5%
        12.3%
        69.1
        32.9%
        50.1%
        CH07_06_S12_L001_R1_001_val_1
        65.7%
        1.3%
        8.4%
        62.3
        32.7%
        47.9%
        CH07_11_S13_L001_R1_001_val_1
        8.2%
        1.6%
        12.3%
        39.1
        36.9%
        30.5%
        CH07_24_S14_L001_R1_001_val_1
        7.3%
        1.5%
        12.4%
        42.9
        38.9%
        33.3%
        CH09_02_S15_L001_R1_001_val_1
        69.2%
        1.8%
        14.2%
        42.0
        30.4%
        46.1%
        CH09_13_S16_L001_R1_001_val_1
        47.7%
        1.7%
        14.7%
        36.8
        65.0%
        50.8%
        CH09_28_S17_L001_R1_001_val_1
        68.8%
        1.7%
        7.1%
        54.3
        32.2%
        49.8%
        CH10_01_S18_L001_R1_001_val_1
        71.6%
        1.4%
        7.0%
        48.5
        27.7%
        51.9%
        CH10_08_S19_L001_R1_001_val_1
        32.6%
        1.8%
        26.2%
        37.7
        25.7%
        38.2%
        CH10_11_S20_L001_R1_001_val_1
        68.5%
        1.5%
        11.2%
        49.3
        30.5%
        48.0%

        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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