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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 1.9

        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 2022-10-13, 14:28 based on data in: /nfs/users/project/precisiontox_008279/prepilot_3_prime_mgi_03_10_2022/20220912_crosskit_comparision/log_final_out_files/Log_final_out_files_V350062963_L02

        General Statistics

        Showing 30/30 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        C1-MGI-1
        62.4%
        5.8
        C1-MGI-2
        61.2%
        5.2
        C2-MGI-1
        39.4%
        3.5
        C2-MGI-2
        41.0%
        3.9
        C3-MGI-1
        39.5%
        8.5
        C3-MGI-2
        37.3%
        8.4
        D1-MGI-1
        66.5%
        9.1
        D1-MGI-2
        66.5%
        8.8
        D2-MGI-1
        65.0%
        7.1
        D2-MGI-2
        61.0%
        8.7
        D3-MGI-1
        64.7%
        19.3
        D3-MGI-2
        62.6%
        20.8
        DF1-MGI-1
        91.6%
        8.8
        DF1-MGI-2
        92.1%
        8.9
        DF2-MGI-1
        88.2%
        4.6
        DF2-MGI-2
        88.0%
        5.0
        DF3-MGI-1
        93.0%
        10.5
        DF3-MGI-2
        92.7%
        9.1
        DM1-MGI-1
        91.5%
        13.7
        DM1-MGI-2
        92.1%
        15.8
        DM2-MGI-1
        91.9%
        14.0
        DM2-MGI-2
        91.3%
        11.7
        DM3-MGI-1
        91.7%
        22.0
        DM3-MGI-2
        91.5%
        16.3
        X1-MGI-1
        86.7%
        13.6
        X1-MGI-2
        87.2%
        12.2
        X2-MGI-1
        88.2%
        1.1
        X2-MGI-2
        87.4%
        1.0
        X3-MGI-1
        88.7%
        15.5
        X3-MGI-2
        89.1%
        14.5

        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        MultiQC v1.9 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.