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        Note that additional data was saved in multiqc_data when this report was generated.

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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 1.0

        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.

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        Report generated on 2017-11-02, 22:54 based on data in: /work/02189/rmharris/IntProWT/00_rawdata

        General Statistics

        Showing 54/54 rows and 3/3 columns.
        Sample NameFrag Length% AlignedM Aligned
        142C_CA1_S_S19_L003_R1_001
        202.9bp
        42.9%
        5.2
        142C_DG_S_S21_L003_R1_001
        210.0bp
        26.1%
        4.5
        143A_CA3_1_S35_L002_R1_001
        201.1bp
        59.5%
        3.5
        143A_DG_1_S36_L002_R1_001
        198.9bp
        68.8%
        5.4
        143B_CA1_1_S37_L002_R1_001
        200.6bp
        62.0%
        1.8
        143B_DG_1_S38_L002_R1_001
        200.0bp
        57.0%
        2.2
        143C_CA1_1_S39_L002_R1_001
        198.4bp
        66.1%
        2.3
        143C_CA1_S_S20_L003_R1_001
        208.4bp
        70.2%
        7.6
        143C_DG_S_S22_L003_R1_001
        220.0bp
        18.4%
        4.1
        143D_CA1_3_S40_L002_R1_001
        197.0bp
        37.1%
        1.2
        143D_DG_3_S41_L002_R1_001
        194.1bp
        58.7%
        1.1
        144A_CA1_2_S42_L002_R1_001
        198.9bp
        62.7%
        3.1
        144A_CA3_2_S43_L002_R1_001
        192.0bp
        25.8%
        0.5
        144A_DG_2_S44_L002_R1_001
        196.5bp
        45.9%
        3.4
        144B_CA1_1_S45_L002_R1_001
        197.1bp
        62.0%
        2.7
        144B_CA3_1_S46_L002_R1_001
        196.4bp
        4.5%
        1.1
        144C_CA1_2_S47_L002_R1_001
        201.3bp
        64.5%
        3.4
        144C_CA3_2_S48_L002_R1_001
        194.8bp
        31.7%
        1.4
        144C_DG_2_S49_L002_R1_001
        192.8bp
        44.4%
        2.3
        144D_CA3_2_S50_L002_R1_001
        195.7bp
        52.7%
        2.5
        144D_DG_2_S51_L002_R1_001
        197.1bp
        69.3%
        4.9
        145A_CA1_2_S52_L002_R1_001
        200.6bp
        62.0%
        1.8
        145A_CA3_2_S53_L002_R1_001
        206.4bp
        13.3%
        0.4
        145A_DG_2_S54_L002_R1_001
        208.4bp
        36.7%
        1.5
        145B_CA1_1_S55_L002_R1_001
        199.7bp
        51.5%
        2.1
        145B_DG_1_S57_L002_R1_001
        203.2bp
        34.9%
        1.6
        146A_CA1_2_S58_L003_R1_001
        194.1bp
        50.9%
        1.8
        146A_CA3_2_S59_L003_R1_001
        201.5bp
        49.1%
        2.9
        146A_DG_2_S60_L003_R1_001
        202.5bp
        20.8%
        1.3
        146B_CA1_2_S61_L003_R1_001
        198.4bp
        10.0%
        1.4
        146B_CA3_2_S62_L003_R1_001
        199.8bp
        57.4%
        2.2
        146B_DG_2_S63_L003_R1_001
        194.9bp
        4.6%
        0.2
        146C_CA1_4_S64_L003_R1_001
        201.6bp
        15.9%
        1.5
        146C_DG_4_S66_L003_R1_001
        198.3bp
        22.0%
        0.6
        146D_CA1_3_S67_L003_R1_001
        201.3bp
        9.3%
        0.5
        146D_CA3_3_S68_L003_R1_001
        196.7bp
        47.1%
        3.1
        146D_DG_3_S69_L003_R1_001
        198.3bp
        7.0%
        0.1
        147C_CA1_3_S70_L003_R1_001
        198.9bp
        42.7%
        3.2
        147C_CA3_3_S71_L003_R1_001
        202.8bp
        68.3%
        6.0
        147C_DG_3_S72_L003_R1_001
        202.0bp
        63.9%
        4.5
        147D_CA3_1_S74_L003_R1_001
        202.6bp
        57.5%
        4.8
        147D_DG_1_S75_L003_R1_001
        214.8bp
        65.9%
        12.1
        147_CA1_4_S76_L003_R1_001
        193.6bp
        14.1%
        0.2
        147_CA3_4_S77_L003_R1_001
        194.5bp
        17.5%
        0.8
        147_DG_4_S78_L003_R1_001
        207.0bp
        6.9%
        0.3
        148A_CA1_3_S79_L003_R1_001
        199.0bp
        67.5%
        5.4
        148A_CA3_3_S80_L003_R1_001
        195.9bp
        49.4%
        2.8
        148A_DG_3_S81_L003_R1_001
        200.7bp
        43.9%
        4.2
        148B_CA1_4_S82_L003_R1_001
        161.4bp
        18.4%
        0.5
        148B_CA3_4_S83_L003_R1_001
        200.4bp
        9.6%
        3.6
        148B_DG_4_S84_L003_R1_001
        200.6bp
        27.2%
        0.8
        148_CA1_2_S85_L003_R1_001
        203.8bp
        33.6%
        2.1
        148_CA3_2_S86_L003_R1_001
        206.7bp
        35.0%
        2.5
        148_DG_2_S87_L003_R1_001
        202.7bp
        46.4%
        2.4

        Kallisto

        Kallisto is a program for quantifying abundances of transcripts from RNA-Seq data.

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        MultiQC v1.0 - Written by Phil Ewels, available on GitHub.

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