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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 1.24.1

        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/MultiQC/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 2025-02-14, 10:14 PST based on data in: /gscratch/srlab/sr320/github/timeseries_molecular/D-Apul/output/15-Apul-bismark

        General Statistics

        Showing 40/40 rows and 3/4 columns.
        Sample Name% mCpGM C's% Dups
        10--1E7_R1_001
        12.6%
        786.7
        16.4%
        1A10_R1_001
        10.9%
        818.8
        16.2%
        1A12_R1_001
        10.0%
        857.9
        15.3%
        1A1_R1_001
        11.4%
        783.5
        13.5%
        1A3_R1_001
        8.7%
        813.9
        13.2%
        1A5_R1_001
        10.7%
        829.5
        13.5%
        1A6_R1_001
        9.6%
        739.0
        12.6%
        1A8_R1_001
        6.7%
        632.9
        8.9%
        1B10_R1_001
        8.6%
        860.5
        10.0%
        1B1_R1_001
        12.1%
        807.7
        13.1%
        1B2_R1_001
        9.9%
        1007.2
        14.4%
        1B4_R1_001
        11.9%
        905.8
        13.1%
        1B5_R1_001
        13.1%
        842.3
        15.8%
        1C6_R1_001
        9.5%
        683.0
        10.7%
        1C8_R1_001
        10.3%
        865.1
        14.9%
        1C9_R1_001
        12.3%
        888.6
        14.4%
        1D3_R1_001
        11.5%
        744.0
        11.6%
        1D7_R1_001
        10.1%
        763.8
        13.4%
        1D8_R1_001
        11.1%
        782.9
        16.0%
        1D9_R1_001
        8.1%
        727.8
        10.6%
        1F1_R1_001
        12.4%
        843.5
        10.5%
        1F5_R1_001
        9.7%
        898.5
        13.8%
        1F7_R1_001
        9.4%
        747.3
        12.4%
        1F9_R1_001
        10.2%
        773.7
        14.1%
        1G4_R1_001
        11.5%
        23.7
        12.2%
        1G5_R1_001
        7.6%
        583.7
        8.3%
        1H11_R1_001
        8.1%
        595.6
        10.8%
        1H2_R1_001
        8.1%
        684.2
        9.0%
        1H3_R1_001
        10.3%
        817.5
        16.1%
        1H5_R1_001
        8.7%
        630.4
        9.8%
        1H6_R1_001
        12.4%
        727.2
        17.3%
        1H9_R1_001
        9.4%
        783.0
        13.1%
        2A3_R1_001
        11.7%
        638.9
        21.0%
        2C2_R1_001
        8.5%
        698.8
        15.5%
        2D1_R1_001
        10.0%
        708.2
        16.4%
        2D2_R1_001
        11.0%
        577.6
        19.4%
        2G2_R1_001
        10.6%
        828.0
        19.4%
        2H3_R1_001
        12.9%
        599.1
        24.2%
        39--2E2_R1_001
        8.0%
        657.7
        15.6%
        6--1E3_R1_001
        11.0%
        926.8
        17.3%

        Bismark

        Version: 0.24.2

        Maps bisulfite converted sequence reads and determine cytosine methylation states.URL: http://www.bioinformatics.babraham.ac.uk/projects/bismarkDOI: 10.1093/bioinformatics/btr167

        Deduplication

        Created with MultiQC

        Cytosine Methylation

        Created with MultiQC

        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.

        Created with MultiQC

        Software Versions

        Software Versions lists versions of software tools extracted from file contents.

        SoftwareVersion
        Bismark0.24.2

        MultiQC v1.24.1 - Written by Phil Ewels, available on GitHub.

        This report uses Plotly, jQuery, jQuery UI, Bootstrap and FileSaver.js.