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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 2022-09-15, 12:20 based on data in: /scratch/gencore/logs/html/HNCMMDSX3/merged

        Welcome! Not sure where to start?   Watch a tutorial video   (6:06)

        General Statistics

        Showing 386/386 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HNCMMDSX3_n01_Bath_001
        85.6%
        39%
        57.3
        HNCMMDSX3_n01_Bath_002
        84.6%
        39%
        89.6
        HNCMMDSX3_n01_Bath_003
        82.4%
        38%
        36.9
        HNCMMDSX3_n01_Bath_004
        84.9%
        37%
        61.5
        HNCMMDSX3_n01_Bath_005
        83.9%
        38%
        74.9
        HNCMMDSX3_n01_Bath_006
        85.1%
        38%
        43.3
        HNCMMDSX3_n01_Bath_007
        83.0%
        38%
        30.8
        HNCMMDSX3_n01_Bath_008
        82.6%
        38%
        35.8
        HNCMMDSX3_n01_Bath_009
        61.0%
        38%
        24.5
        HNCMMDSX3_n01_Bath_010
        75.2%
        38%
        26.9
        HNCMMDSX3_n01_Bath_011
        73.0%
        37%
        35.1
        HNCMMDSX3_n01_Bath_012
        7.7%
        37%
        0.4
        HNCMMDSX3_n01_Bath_013
        66.2%
        37%
        27.0
        HNCMMDSX3_n01_Bath_014
        65.7%
        38%
        29.4
        HNCMMDSX3_n01_Bath_015
        71.0%
        38%
        25.8
        HNCMMDSX3_n01_Bath_016
        69.8%
        38%
        18.2
        HNCMMDSX3_n01_Bath_017
        81.6%
        38%
        27.2
        HNCMMDSX3_n01_Bath_018
        84.5%
        38%
        60.2
        HNCMMDSX3_n01_Bath_019
        86.1%
        38%
        72.9
        HNCMMDSX3_n01_Bath_020
        88.7%
        38%
        92.4
        HNCMMDSX3_n01_Bath_021
        82.1%
        38%
        43.2
        HNCMMDSX3_n01_Bath_022
        84.8%
        37%
        72.5
        HNCMMDSX3_n01_Bath_023
        84.3%
        37%
        43.9
        HNCMMDSX3_n01_Bath_024
        82.2%
        37%
        39.5
        HNCMMDSX3_n01_Bath_025
        77.5%
        38%
        42.6
        HNCMMDSX3_n01_Bath_026
        80.4%
        38%
        69.5
        HNCMMDSX3_n01_Bath_027
        41.5%
        38%
        6.4
        HNCMMDSX3_n01_Bath_028
        75.3%
        38%
        35.4
        HNCMMDSX3_n01_Bath_029
        79.5%
        39%
        45.2
        HNCMMDSX3_n01_Bath_030
        75.0%
        37%
        33.5
        HNCMMDSX3_n01_Bath_031
        78.4%
        38%
        31.8
        HNCMMDSX3_n01_Bath_032
        79.0%
        38%
        40.3
        HNCMMDSX3_n01_Bath_033
        83.0%
        38%
        110.7
        HNCMMDSX3_n01_Bath_034
        80.2%
        38%
        50.4
        HNCMMDSX3_n01_Bath_035
        82.3%
        38%
        53.1
        HNCMMDSX3_n01_Bath_036
        77.4%
        38%
        27.6
        HNCMMDSX3_n01_Bath_037
        80.9%
        38%
        74.2
        HNCMMDSX3_n01_Bath_038
        81.4%
        37%
        44.0
        HNCMMDSX3_n01_Bath_039
        77.7%
        38%
        25.3
        HNCMMDSX3_n01_Bath_040
        80.4%
        38%
        30.4
        HNCMMDSX3_n01_Bath_041
        52.2%
        38%
        11.3
        HNCMMDSX3_n01_Bath_042
        61.0%
        38%
        26.5
        HNCMMDSX3_n01_Bath_043
        57.4%
        39%
        23.0
        HNCMMDSX3_n01_Bath_044
        51.1%
        38%
        9.8
        HNCMMDSX3_n01_Bath_045
        62.1%
        38%
        23.5
        HNCMMDSX3_n01_Bath_046
        53.5%
        38%
        11.2
        HNCMMDSX3_n01_Bath_047
        54.3%
        38%
        13.2
        HNCMMDSX3_n01_Bath_048
        55.5%
        37%
        8.3
        HNCMMDSX3_n01_Bath_049
        85.7%
        38%
        145.8
        HNCMMDSX3_n01_Bath_050
        84.6%
        37%
        142.2
        HNCMMDSX3_n01_Bath_051
        85.1%
        38%
        79.1
        HNCMMDSX3_n01_Bath_052
        84.0%
        39%
        46.6
        HNCMMDSX3_n01_Bath_053
        76.3%
        38%
        85.8
        HNCMMDSX3_n01_Bath_054
        80.9%
        38%
        51.4
        HNCMMDSX3_n01_Bath_055
        85.5%
        37%
        67.7
        HNCMMDSX3_n01_Bath_056
        84.7%
        37%
        50.0
        HNCMMDSX3_n01_Bath_057
        67.9%
        38%
        41.3
        HNCMMDSX3_n01_Bath_058
        66.7%
        38%
        31.8
        HNCMMDSX3_n01_Bath_059
        66.9%
        38%
        31.5
        HNCMMDSX3_n01_Bath_060
        68.7%
        39%
        38.4
        HNCMMDSX3_n01_Bath_061
        66.3%
        38%
        41.0
        HNCMMDSX3_n01_Bath_062
        66.2%
        38%
        27.4
        HNCMMDSX3_n01_Bath_063
        66.6%
        38%
        21.7
        HNCMMDSX3_n01_Bath_064
        66.5%
        37%
        17.1
        HNCMMDSX3_n01_Bath_065
        37.1%
        38%
        6.1
        HNCMMDSX3_n01_Bath_066
        21.1%
        37%
        5.0
        HNCMMDSX3_n01_Bath_067
        37.3%
        38%
        4.8
        HNCMMDSX3_n01_Bath_068
        36.8%
        37%
        4.6
        HNCMMDSX3_n01_Bath_069
        41.7%
        38%
        8.5
        HNCMMDSX3_n01_Bath_070
        33.1%
        37%
        4.0
        HNCMMDSX3_n01_Bath_071
        2.8%
        38%
        0.1
        HNCMMDSX3_n01_Bath_072
        39.0%
        38%
        5.8
        HNCMMDSX3_n01_Bath_073
        82.1%
        38%
        56.1
        HNCMMDSX3_n01_Bath_074
        84.5%
        38%
        84.7
        HNCMMDSX3_n01_Bath_075
        82.3%
        38%
        50.1
        HNCMMDSX3_n01_Bath_076
        84.4%
        38%
        59.4
        HNCMMDSX3_n01_Bath_077
        78.2%
        38%
        39.0
        HNCMMDSX3_n01_Bath_078
        79.1%
        38%
        66.7
        HNCMMDSX3_n01_Bath_079
        83.3%
        38%
        16.5
        HNCMMDSX3_n01_Bath_080
        85.6%
        42%
        44.6
        HNCMMDSX3_n01_Bath_081
        25.1%
        38%
        2.4
        HNCMMDSX3_n01_Bath_082
        22.2%
        38%
        3.1
        HNCMMDSX3_n01_Bath_083
        25.5%
        38%
        1.7
        HNCMMDSX3_n01_Bath_084
        1.1%
        38%
        0.0
        HNCMMDSX3_n01_Bath_085
        20.6%
        38%
        1.7
        HNCMMDSX3_n01_Bath_086
        23.9%
        37%
        1.4
        HNCMMDSX3_n01_Bath_087
        22.1%
        40%
        0.5
        HNCMMDSX3_n01_Bath_088
        21.1%
        39%
        0.7
        HNCMMDSX3_n01_Bath_089
        72.1%
        39%
        39.3
        HNCMMDSX3_n01_Bath_090
        77.0%
        37%
        81.9
        HNCMMDSX3_n01_Bath_091
        71.7%
        38%
        33.4
        HNCMMDSX3_n01_Bath_092
        25.1%
        38%
        0.7
        HNCMMDSX3_n01_Bath_093
        80.3%
        38%
        66.0
        HNCMMDSX3_n01_Bath_094
        77.8%
        38%
        29.3
        HNCMMDSX3_n01_Bath_095
        81.9%
        38%
        18.4
        HNCMMDSX3_n01_Bath_096
        45.1%
        40%
        1.7
        HNCMMDSX3_n01_Bchi_001
        87.5%
        41%
        46.8
        HNCMMDSX3_n01_Bchi_002
        91.1%
        39%
        148.6
        HNCMMDSX3_n01_Bchi_003
        91.4%
        38%
        198.1
        HNCMMDSX3_n01_Bchi_004
        79.2%
        38%
        58.0
        HNCMMDSX3_n01_Bchi_005
        90.6%
        38%
        257.4
        HNCMMDSX3_n01_Bchi_006
        79.6%
        38%
        49.8
        HNCMMDSX3_n01_Bchi_007
        75.4%
        43%
        41.3
        HNCMMDSX3_n01_Bchi_008
        82.8%
        38%
        56.3
        HNCMMDSX3_n01_Bchi_009
        91.5%
        38%
        258.8
        HNCMMDSX3_n01_Bchi_010
        90.3%
        39%
        299.7
        HNCMMDSX3_n01_Bchi_011
        89.0%
        37%
        119.9
        HNCMMDSX3_n01_Bchi_012
        78.1%
        40%
        53.6
        HNCMMDSX3_n01_Bchi_013
        87.7%
        41%
        133.9
        HNCMMDSX3_n01_Bchi_014
        78.1%
        38%
        43.5
        HNCMMDSX3_n01_Bchi_015
        80.3%
        38%
        41.8
        HNCMMDSX3_n01_Bchi_016
        17.0%
        37%
        3.1
        HNCMMDSX3_n01_Bchi_017
        87.5%
        39%
        61.4
        HNCMMDSX3_n01_Bchi_018
        85.1%
        39%
        59.3
        HNCMMDSX3_n01_Bchi_019
        89.5%
        38%
        76.9
        HNCMMDSX3_n01_Bchi_020
        75.0%
        39%
        30.1
        HNCMMDSX3_n01_Bchi_021
        80.1%
        40%
        48.6
        HNCMMDSX3_n01_Bchi_022
        66.9%
        40%
        15.2
        HNCMMDSX3_n01_Bchi_023
        64.8%
        39%
        22.0
        HNCMMDSX3_n01_Bchi_024
        82.8%
        38%
        48.7
        HNCMMDSX3_n01_Bchi_025
        92.3%
        38%
        229.0
        HNCMMDSX3_n01_Bchi_026
        89.0%
        38%
        103.6
        HNCMMDSX3_n01_Bchi_027
        88.6%
        38%
        104.6
        HNCMMDSX3_n01_Bchi_028
        79.4%
        38%
        58.1
        HNCMMDSX3_n01_Bchi_029
        90.5%
        39%
        223.2
        HNCMMDSX3_n01_Bchi_030
        78.6%
        40%
        30.6
        HNCMMDSX3_n01_Bchi_031
        82.6%
        38%
        44.4
        HNCMMDSX3_n01_Bchi_032
        86.4%
        37%
        95.2
        HNCMMDSX3_n01_Bchi_033
        90.3%
        39%
        145.1
        HNCMMDSX3_n01_Bchi_034
        90.3%
        39%
        142.6
        HNCMMDSX3_n01_Bchi_035
        88.3%
        38%
        112.1
        HNCMMDSX3_n01_Bchi_036
        14.7%
        38%
        1.5
        HNCMMDSX3_n01_Bchi_037
        90.1%
        40%
        155.5
        HNCMMDSX3_n01_Bchi_038
        79.5%
        40%
        32.4
        HNCMMDSX3_n01_Bchi_039
        83.0%
        38%
        29.1
        HNCMMDSX3_n01_Bchi_040
        87.5%
        37%
        93.9
        HNCMMDSX3_n01_Bchi_041
        78.9%
        39%
        43.2
        HNCMMDSX3_n01_Bchi_042
        75.1%
        38%
        48.3
        HNCMMDSX3_n01_Bchi_043
        68.3%
        38%
        20.7
        HNCMMDSX3_n01_Bchi_044
        52.8%
        38%
        11.4
        HNCMMDSX3_n01_Bchi_045
        74.1%
        38%
        50.7
        HNCMMDSX3_n01_Bchi_046
        62.4%
        39%
        11.0
        HNCMMDSX3_n01_Bchi_047
        69.6%
        38%
        15.6
        HNCMMDSX3_n01_Bchi_048
        74.2%
        38%
        30.2
        HNCMMDSX3_n01_Bchi_049
        53.3%
        39%
        9.8
        HNCMMDSX3_n01_Bchi_050
        55.2%
        37%
        20.2
        HNCMMDSX3_n01_Bchi_051
        44.2%
        39%
        5.0
        HNCMMDSX3_n01_Bchi_052
        36.7%
        39%
        3.4
        HNCMMDSX3_n01_Bchi_053
        54.3%
        38%
        15.2
        HNCMMDSX3_n01_Bchi_054
        43.8%
        38%
        3.8
        HNCMMDSX3_n01_Bchi_055
        33.7%
        38%
        3.3
        HNCMMDSX3_n01_Bchi_056
        46.0%
        38%
        7.7
        HNCMMDSX3_n01_Bchi_057
        89.7%
        39%
        83.7
        HNCMMDSX3_n01_Bchi_058
        80.6%
        39%
        53.0
        HNCMMDSX3_n01_Bchi_059
        80.0%
        39%
        34.6
        HNCMMDSX3_n01_Bchi_060
        71.3%
        38%
        29.7
        HNCMMDSX3_n01_Bchi_061
        82.6%
        38%
        118.5
        HNCMMDSX3_n01_Bchi_062
        11.2%
        38%
        0.9
        HNCMMDSX3_n01_Bchi_063
        69.9%
        39%
        21.5
        HNCMMDSX3_n01_Bchi_064
        75.0%
        38%
        40.3
        HNCMMDSX3_n01_Bchi_065
        87.8%
        38%
        112.5
        HNCMMDSX3_n01_Bchi_066
        86.6%
        38%
        127.6
        HNCMMDSX3_n01_Bchi_067
        84.9%
        38%
        95.9
        HNCMMDSX3_n01_Bchi_068
        71.9%
        38%
        30.2
        HNCMMDSX3_n01_Bchi_069
        82.3%
        39%
        138.4
        HNCMMDSX3_n01_Bchi_070
        63.5%
        38%
        14.7
        HNCMMDSX3_n01_Bchi_071
        69.3%
        39%
        29.3
        HNCMMDSX3_n01_Bchi_072
        81.1%
        38%
        88.1
        HNCMMDSX3_n01_Bchi_073
        92.3%
        39%
        195.8
        HNCMMDSX3_n01_Bchi_074
        90.8%
        39%
        139.5
        HNCMMDSX3_n01_Bchi_075
        89.4%
        39%
        102.4
        HNCMMDSX3_n01_Bchi_076
        82.0%
        38%
        76.9
        HNCMMDSX3_n01_Bchi_077
        90.0%
        38%
        184.6
        HNCMMDSX3_n01_Bchi_078
        73.4%
        38%
        22.3
        HNCMMDSX3_n01_Bchi_079
        83.9%
        38%
        63.4
        HNCMMDSX3_n01_Bchi_080
        88.6%
        38%
        90.2
        HNCMMDSX3_n01_Bchi_081
        89.7%
        38%
        148.3
        HNCMMDSX3_n01_Bchi_082
        87.4%
        38%
        121.5
        HNCMMDSX3_n01_Bchi_083
        82.7%
        38%
        47.6
        HNCMMDSX3_n01_Bchi_084
        72.0%
        38%
        43.3
        HNCMMDSX3_n01_Bchi_085
        86.9%
        38%
        147.5
        HNCMMDSX3_n01_Bchi_086
        62.3%
        39%
        11.1
        HNCMMDSX3_n01_Bchi_087
        68.3%
        38%
        24.1
        HNCMMDSX3_n01_Bchi_088
        79.1%
        38%
        53.2
        HNCMMDSX3_n01_Bchi_089
        89.8%
        39%
        187.6
        HNCMMDSX3_n01_Bchi_090
        88.7%
        38%
        195.2
        HNCMMDSX3_n01_Bchi_091
        84.4%
        39%
        58.2
        HNCMMDSX3_n01_Bchi_092
        72.2%
        39%
        34.7
        HNCMMDSX3_n01_Bchi_093
        88.7%
        39%
        286.9
        HNCMMDSX3_n01_Bchi_094
        66.6%
        39%
        22.4
        HNCMMDSX3_n01_Bchi_095
        69.6%
        39%
        32.2
        HNCMMDSX3_n01_Bchi_096
        79.2%
        38%
        56.1
        HNCMMDSX3_n01_undetermined
        81.3%
        42%
        1294.9
        HNCMMDSX3_n02_Bath_001
        84.6%
        38%
        57.3
        HNCMMDSX3_n02_Bath_002
        83.5%
        39%
        89.6
        HNCMMDSX3_n02_Bath_003
        79.8%
        38%
        36.9
        HNCMMDSX3_n02_Bath_004
        83.7%
        37%
        61.5
        HNCMMDSX3_n02_Bath_005
        83.4%
        38%
        74.9
        HNCMMDSX3_n02_Bath_006
        84.4%
        38%
        43.3
        HNCMMDSX3_n02_Bath_007
        81.6%
        38%
        30.8
        HNCMMDSX3_n02_Bath_008
        80.4%
        38%
        35.8
        HNCMMDSX3_n02_Bath_009
        59.5%
        38%
        24.5
        HNCMMDSX3_n02_Bath_010
        74.2%
        38%
        26.9
        HNCMMDSX3_n02_Bath_011
        70.7%
        37%
        35.1
        HNCMMDSX3_n02_Bath_012
        7.3%
        38%
        0.4
        HNCMMDSX3_n02_Bath_013
        66.7%
        37%
        27.0
        HNCMMDSX3_n02_Bath_014
        65.6%
        38%
        29.4
        HNCMMDSX3_n02_Bath_015
        69.9%
        38%
        25.8
        HNCMMDSX3_n02_Bath_016
        68.9%
        38%
        18.2
        HNCMMDSX3_n02_Bath_017
        80.7%
        38%
        27.2
        HNCMMDSX3_n02_Bath_018
        83.6%
        38%
        60.2
        HNCMMDSX3_n02_Bath_019
        84.6%
        38%
        72.9
        HNCMMDSX3_n02_Bath_020
        87.8%
        38%
        92.4
        HNCMMDSX3_n02_Bath_021
        82.4%
        39%
        43.2
        HNCMMDSX3_n02_Bath_022
        84.7%
        37%
        72.5
        HNCMMDSX3_n02_Bath_023
        83.3%
        37%
        43.9
        HNCMMDSX3_n02_Bath_024
        82.3%
        37%
        39.5
        HNCMMDSX3_n02_Bath_025
        76.3%
        38%
        42.6
        HNCMMDSX3_n02_Bath_026
        79.2%
        38%
        69.5
        HNCMMDSX3_n02_Bath_027
        39.0%
        38%
        6.4
        HNCMMDSX3_n02_Bath_028
        74.2%
        38%
        35.4
        HNCMMDSX3_n02_Bath_029
        79.4%
        39%
        45.2
        HNCMMDSX3_n02_Bath_030
        74.6%
        37%
        33.5
        HNCMMDSX3_n02_Bath_031
        77.3%
        38%
        31.8
        HNCMMDSX3_n02_Bath_032
        79.0%
        38%
        40.3
        HNCMMDSX3_n02_Bath_033
        82.1%
        37%
        110.7
        HNCMMDSX3_n02_Bath_034
        79.3%
        38%
        50.4
        HNCMMDSX3_n02_Bath_035
        80.6%
        38%
        53.1
        HNCMMDSX3_n02_Bath_036
        76.2%
        38%
        27.6
        HNCMMDSX3_n02_Bath_037
        80.3%
        38%
        74.2
        HNCMMDSX3_n02_Bath_038
        80.9%
        37%
        44.0
        HNCMMDSX3_n02_Bath_039
        76.7%
        38%
        25.3
        HNCMMDSX3_n02_Bath_040
        80.2%
        38%
        30.4
        HNCMMDSX3_n02_Bath_041
        51.1%
        38%
        11.3
        HNCMMDSX3_n02_Bath_042
        60.0%
        38%
        26.5
        HNCMMDSX3_n02_Bath_043
        55.7%
        39%
        23.0
        HNCMMDSX3_n02_Bath_044
        49.9%
        38%
        9.8
        HNCMMDSX3_n02_Bath_045
        61.5%
        38%
        23.5
        HNCMMDSX3_n02_Bath_046
        52.4%
        37%
        11.2
        HNCMMDSX3_n02_Bath_047
        53.2%
        38%
        13.2
        HNCMMDSX3_n02_Bath_048
        55.1%
        37%
        8.3
        HNCMMDSX3_n02_Bath_049
        84.8%
        38%
        145.8
        HNCMMDSX3_n02_Bath_050
        83.6%
        37%
        142.2
        HNCMMDSX3_n02_Bath_051
        82.8%
        38%
        79.1
        HNCMMDSX3_n02_Bath_052
        82.8%
        39%
        46.6
        HNCMMDSX3_n02_Bath_053
        81.8%
        37%
        85.8
        HNCMMDSX3_n02_Bath_054
        80.8%
        37%
        51.4
        HNCMMDSX3_n02_Bath_055
        84.2%
        37%
        67.7
        HNCMMDSX3_n02_Bath_056
        84.1%
        37%
        50.0
        HNCMMDSX3_n02_Bath_057
        67.0%
        38%
        41.3
        HNCMMDSX3_n02_Bath_058
        66.6%
        38%
        31.8
        HNCMMDSX3_n02_Bath_059
        65.0%
        38%
        31.5
        HNCMMDSX3_n02_Bath_060
        67.7%
        39%
        38.4
        HNCMMDSX3_n02_Bath_061
        69.6%
        38%
        41.0
        HNCMMDSX3_n02_Bath_062
        65.8%
        37%
        27.4
        HNCMMDSX3_n02_Bath_063
        65.7%
        38%
        21.7
        HNCMMDSX3_n02_Bath_064
        65.6%
        37%
        17.1
        HNCMMDSX3_n02_Bath_065
        35.7%
        38%
        6.1
        HNCMMDSX3_n02_Bath_066
        20.7%
        37%
        5.0
        HNCMMDSX3_n02_Bath_067
        35.0%
        38%
        4.8
        HNCMMDSX3_n02_Bath_068
        35.4%
        37%
        4.6
        HNCMMDSX3_n02_Bath_069
        40.8%
        38%
        8.5
        HNCMMDSX3_n02_Bath_070
        32.2%
        37%
        4.0
        HNCMMDSX3_n02_Bath_071
        2.5%
        38%
        0.1
        HNCMMDSX3_n02_Bath_072
        39.2%
        38%
        5.8
        HNCMMDSX3_n02_Bath_073
        81.1%
        37%
        56.1
        HNCMMDSX3_n02_Bath_074
        84.0%
        38%
        84.7
        HNCMMDSX3_n02_Bath_075
        80.3%
        38%
        50.1
        HNCMMDSX3_n02_Bath_076
        83.5%
        38%
        59.4
        HNCMMDSX3_n02_Bath_077
        82.8%
        38%
        39.0
        HNCMMDSX3_n02_Bath_078
        79.0%
        38%
        66.7
        HNCMMDSX3_n02_Bath_079
        81.2%
        38%
        16.5
        HNCMMDSX3_n02_Bath_080
        85.4%
        41%
        44.6
        HNCMMDSX3_n02_Bath_081
        24.5%
        38%
        2.4
        HNCMMDSX3_n02_Bath_082
        21.6%
        38%
        3.1
        HNCMMDSX3_n02_Bath_083
        24.5%
        38%
        1.7
        HNCMMDSX3_n02_Bath_084
        0.9%
        38%
        0.0
        HNCMMDSX3_n02_Bath_085
        20.2%
        38%
        1.7
        HNCMMDSX3_n02_Bath_086
        23.3%
        37%
        1.4
        HNCMMDSX3_n02_Bath_087
        20.9%
        40%
        0.5
        HNCMMDSX3_n02_Bath_088
        21.2%
        38%
        0.7
        HNCMMDSX3_n02_Bath_089
        70.7%
        39%
        39.3
        HNCMMDSX3_n02_Bath_090
        75.7%
        37%
        81.9
        HNCMMDSX3_n02_Bath_091
        66.3%
        38%
        33.4
        HNCMMDSX3_n02_Bath_092
        24.3%
        38%
        0.7
        HNCMMDSX3_n02_Bath_093
        79.8%
        39%
        66.0
        HNCMMDSX3_n02_Bath_094
        76.9%
        38%
        29.3
        HNCMMDSX3_n02_Bath_095
        80.5%
        39%
        18.4
        HNCMMDSX3_n02_Bath_096
        44.9%
        40%
        1.7
        HNCMMDSX3_n02_Bchi_001
        86.4%
        40%
        46.8
        HNCMMDSX3_n02_Bchi_002
        89.2%
        39%
        148.6
        HNCMMDSX3_n02_Bchi_003
        84.5%
        38%
        198.1
        HNCMMDSX3_n02_Bchi_004
        76.7%
        38%
        58.0
        HNCMMDSX3_n02_Bchi_005
        88.7%
        38%
        257.4
        HNCMMDSX3_n02_Bchi_006
        78.1%
        38%
        49.8
        HNCMMDSX3_n02_Bchi_007
        73.6%
        42%
        41.3
        HNCMMDSX3_n02_Bchi_008
        79.7%
        38%
        56.3
        HNCMMDSX3_n02_Bchi_009
        89.1%
        38%
        258.8
        HNCMMDSX3_n02_Bchi_010
        89.9%
        38%
        299.7
        HNCMMDSX3_n02_Bchi_011
        79.1%
        38%
        119.9
        HNCMMDSX3_n02_Bchi_012
        76.7%
        40%
        53.6
        HNCMMDSX3_n02_Bchi_013
        86.9%
        41%
        133.9
        HNCMMDSX3_n02_Bchi_014
        77.8%
        38%
        43.5
        HNCMMDSX3_n02_Bchi_015
        77.9%
        39%
        41.8
        HNCMMDSX3_n02_Bchi_016
        16.4%
        37%
        3.1
        HNCMMDSX3_n02_Bchi_017
        85.6%
        39%
        61.4
        HNCMMDSX3_n02_Bchi_018
        83.1%
        39%
        59.3
        HNCMMDSX3_n02_Bchi_019
        81.3%
        39%
        76.9
        HNCMMDSX3_n02_Bchi_020
        73.5%
        39%
        30.1
        HNCMMDSX3_n02_Bchi_021
        81.3%
        40%
        48.6
        HNCMMDSX3_n02_Bchi_022
        66.6%
        40%
        15.2
        HNCMMDSX3_n02_Bchi_023
        62.8%
        39%
        22.0
        HNCMMDSX3_n02_Bchi_024
        81.1%
        38%
        48.7
        HNCMMDSX3_n02_Bchi_025
        89.7%
        38%
        229.0
        HNCMMDSX3_n02_Bchi_026
        86.5%
        38%
        103.6
        HNCMMDSX3_n02_Bchi_027
        80.0%
        38%
        104.6
        HNCMMDSX3_n02_Bchi_028
        76.5%
        38%
        58.1
        HNCMMDSX3_n02_Bchi_029
        88.7%
        39%
        223.2
        HNCMMDSX3_n02_Bchi_030
        77.6%
        40%
        30.6
        HNCMMDSX3_n02_Bchi_031
        79.8%
        38%
        44.4
        HNCMMDSX3_n02_Bchi_032
        82.6%
        38%
        95.2
        HNCMMDSX3_n02_Bchi_033
        87.8%
        39%
        145.1
        HNCMMDSX3_n02_Bchi_034
        87.8%
        39%
        142.6
        HNCMMDSX3_n02_Bchi_035
        78.4%
        38%
        112.1
        HNCMMDSX3_n02_Bchi_036
        14.3%
        38%
        1.5
        HNCMMDSX3_n02_Bchi_037
        88.6%
        40%
        155.5
        HNCMMDSX3_n02_Bchi_038
        78.4%
        40%
        32.4
        HNCMMDSX3_n02_Bchi_039
        79.4%
        38%
        29.1
        HNCMMDSX3_n02_Bchi_040
        83.4%
        38%
        93.9
        HNCMMDSX3_n02_Bchi_041
        76.8%
        38%
        43.2
        HNCMMDSX3_n02_Bchi_042
        72.7%
        38%
        48.3
        HNCMMDSX3_n02_Bchi_043
        60.7%
        39%
        20.7
        HNCMMDSX3_n02_Bchi_044
        51.1%
        38%
        11.4
        HNCMMDSX3_n02_Bchi_045
        72.5%
        38%
        50.7
        HNCMMDSX3_n02_Bchi_046
        61.6%
        39%
        11.0
        HNCMMDSX3_n02_Bchi_047
        67.0%
        38%
        15.6
        HNCMMDSX3_n02_Bchi_048
        72.3%
        38%
        30.2
        HNCMMDSX3_n02_Bchi_049
        50.9%
        38%
        9.8
        HNCMMDSX3_n02_Bchi_050
        52.2%
        37%
        20.2
        HNCMMDSX3_n02_Bchi_051
        41.0%
        39%
        5.0
        HNCMMDSX3_n02_Bchi_052
        35.1%
        39%
        3.4
        HNCMMDSX3_n02_Bchi_053
        52.4%
        38%
        15.2
        HNCMMDSX3_n02_Bchi_054
        42.7%
        38%
        3.8
        HNCMMDSX3_n02_Bchi_055
        32.0%
        38%
        3.3
        HNCMMDSX3_n02_Bchi_056
        44.6%
        38%
        7.7
        HNCMMDSX3_n02_Bchi_057
        89.0%
        39%
        83.7
        HNCMMDSX3_n02_Bchi_058
        78.7%
        39%
        53.0
        HNCMMDSX3_n02_Bchi_059
        73.8%
        39%
        34.6
        HNCMMDSX3_n02_Bchi_060
        69.2%
        38%
        29.7
        HNCMMDSX3_n02_Bchi_061
        83.3%
        38%
        118.5
        HNCMMDSX3_n02_Bchi_062
        11.2%
        37%
        0.9
        HNCMMDSX3_n02_Bchi_063
        67.5%
        38%
        21.5
        HNCMMDSX3_n02_Bchi_064
        72.6%
        38%
        40.3
        HNCMMDSX3_n02_Bchi_065
        85.0%
        38%
        112.5
        HNCMMDSX3_n02_Bchi_066
        84.3%
        38%
        127.6
        HNCMMDSX3_n02_Bchi_067
        78.3%
        38%
        95.9
        HNCMMDSX3_n02_Bchi_068
        69.7%
        38%
        30.2
        HNCMMDSX3_n02_Bchi_069
        85.1%
        39%
        138.4
        HNCMMDSX3_n02_Bchi_070
        62.3%
        38%
        14.7
        HNCMMDSX3_n02_Bchi_071
        67.1%
        39%
        29.3
        HNCMMDSX3_n02_Bchi_072
        79.6%
        38%
        88.1
        HNCMMDSX3_n02_Bchi_073
        90.4%
        39%
        195.8
        HNCMMDSX3_n02_Bchi_074
        89.0%
        39%
        139.5
        HNCMMDSX3_n02_Bchi_075
        84.4%
        39%
        102.4
        HNCMMDSX3_n02_Bchi_076
        81.1%
        38%
        76.9
        HNCMMDSX3_n02_Bchi_077
        89.0%
        38%
        184.6
        HNCMMDSX3_n02_Bchi_078
        72.7%
        38%
        22.3
        HNCMMDSX3_n02_Bchi_079
        81.7%
        38%
        63.4
        HNCMMDSX3_n02_Bchi_080
        87.0%
        38%
        90.2
        HNCMMDSX3_n02_Bchi_081
        87.5%
        38%
        148.3
        HNCMMDSX3_n02_Bchi_082
        85.5%
        38%
        121.5
        HNCMMDSX3_n02_Bchi_083
        72.8%
        39%
        47.6
        HNCMMDSX3_n02_Bchi_084
        69.6%
        38%
        43.3
        HNCMMDSX3_n02_Bchi_085
        85.8%
        38%
        147.5
        HNCMMDSX3_n02_Bchi_086
        61.4%
        39%
        11.1
        HNCMMDSX3_n02_Bchi_087
        65.4%
        38%
        24.1
        HNCMMDSX3_n02_Bchi_088
        76.6%
        38%
        53.2
        HNCMMDSX3_n02_Bchi_089
        87.5%
        39%
        187.6
        HNCMMDSX3_n02_Bchi_090
        86.3%
        38%
        195.2
        HNCMMDSX3_n02_Bchi_091
        75.2%
        39%
        58.2
        HNCMMDSX3_n02_Bchi_092
        69.8%
        39%
        34.7
        HNCMMDSX3_n02_Bchi_093
        87.0%
        39%
        286.9
        HNCMMDSX3_n02_Bchi_094
        65.3%
        39%
        22.4
        HNCMMDSX3_n02_Bchi_095
        67.5%
        39%
        32.2
        HNCMMDSX3_n02_Bchi_096
        78.2%
        38%
        56.1
        HNCMMDSX3_n02_undetermined
        78.8%
        44%
        1294.9

        Barcodes of Undetermined Reads


        We have determined the barcodes of your undetermined reads (reads containing a barcode that you did not encode in your metadata). Here are the top 20 barcodes belonging to the undetermined reads. The full list is available here.

        Showing 20/20 rows and 2/2 columns.
        Barcode Sequence(s)CountFrequency (%)
        GGGGGGGGAGATCTCG
        634585669.0
        49.0
        GGGGGGGGGTGACGCA
        26173755.0
        2.0
        GGGGGGGGAGTGTAGA
        26100057.0
        2.0
        GGGGGGGGACGCTATC
        24591349.0
        1.9
        GGGGGGGGCATACTAG
        16777378.0
        1.3
        GGGGGGGGTGCTGCTT
        11723093.0
        0.9
        GGGGGGGGCACTAGAC
        8995490.0
        0.7
        GGGGGGGGGTAGATCG
        8340375.0
        0.6
        GGGGGGGGTCACGCGT
        8323024.0
        0.6
        GCCTCATGGTGACGCA
        7964122.0
        0.6
        CTAGCGCTGTGACGCA
        5015250.0
        0.4
        CTAGCGCTAGTGTAGA
        4359792.0
        0.3
        CTAGCGCTACGCTATC
        4046590.0
        0.3
        CGTCGCAGGTGACGCA
        3041745.0
        0.2
        CTCTCGAGGTGACGCA
        2613624.0
        0.2
        CGGGGGGGGTGACGCA
        2454422.0
        0.2
        TGTCGCAGGTGACGCA
        2294921.0
        0.2
        CGGGGGGGACGCTATC
        2194493.0
        0.2
        CTCTCGAGACGCTATC
        2034600.0
        0.2
        CGGGGGGGAGTGTAGA
        2004359.0
        0.1

        Demultiplexing Report


        Total Read Count: Total number of PF (Passing Filter) reads in this library.
        Portion: The proportion of reads that represent the individual library in the entire Library Pool.

        Showing 193/193 rows and 2/2 columns.
        LibraryTotal Read CountPortion (%)
        undetermined_library
        1294891008
        10.5
        Bath_001
        57308320
        0.5
        Bath_002
        89576027
        0.7
        Bath_003
        36888763
        0.3
        Bath_004
        61527442
        0.5
        Bath_005
        74855256
        0.6
        Bath_006
        43281279
        0.4
        Bath_007
        30781207
        0.2
        Bath_008
        35794230
        0.3
        Bath_009
        24462672
        0.2
        Bath_010
        26947519
        0.2
        Bath_011
        35087998
        0.3
        Bath_012
        423914
        0.0
        Bath_013
        27021380
        0.2
        Bath_014
        29441109
        0.2
        Bath_015
        25765487
        0.2
        Bath_016
        18170269
        0.1
        Bath_017
        27151435
        0.2
        Bath_018
        60235234
        0.5
        Bath_019
        72938067
        0.6
        Bath_020
        92350915
        0.8
        Bath_021
        43216902
        0.4
        Bath_022
        72511339
        0.6
        Bath_023
        43859483
        0.4
        Bath_024
        39541831
        0.3
        Bath_025
        42586834
        0.3
        Bath_026
        69483104
        0.6
        Bath_027
        6395641
        0.1
        Bath_028
        35421534
        0.3
        Bath_029
        45189459
        0.4
        Bath_030
        33532943
        0.3
        Bath_031
        31805385
        0.3
        Bath_032
        40342640
        0.3
        Bath_033
        110721399
        0.9
        Bath_034
        50379248
        0.4
        Bath_035
        53138265
        0.4
        Bath_036
        27586728
        0.2
        Bath_037
        74221422
        0.6
        Bath_038
        43984641
        0.4
        Bath_039
        25303121
        0.2
        Bath_040
        30351203
        0.2
        Bath_041
        11281689
        0.1
        Bath_042
        26491185
        0.2
        Bath_043
        22997650
        0.2
        Bath_044
        9765612
        0.1
        Bath_045
        23454983
        0.2
        Bath_046
        11194872
        0.1
        Bath_047
        13174668
        0.1
        Bath_048
        8259223
        0.1
        Bath_049
        145791972
        1.2
        Bath_050
        142177266
        1.2
        Bath_051
        79137399
        0.6
        Bath_052
        46570496
        0.4
        Bath_053
        85826792
        0.7
        Bath_054
        51449012
        0.4
        Bath_055
        67680543
        0.6
        Bath_056
        50027730
        0.4
        Bath_057
        41254026
        0.3
        Bath_058
        31814097
        0.3
        Bath_059
        31547206
        0.3
        Bath_060
        38442390
        0.3
        Bath_061
        41036761
        0.3
        Bath_062
        27424122
        0.2
        Bath_063
        21724701
        0.2
        Bath_064
        17079256
        0.1
        Bath_065
        6086676
        0.1
        Bath_066
        5010063
        0.0
        Bath_067
        4834374
        0.0
        Bath_068
        4563293
        0.0
        Bath_069
        8452888
        0.1
        Bath_070
        3993533
        0.0
        Bath_071
        95877
        0.0
        Bath_072
        5818285
        0.0
        Bath_073
        56097627
        0.5
        Bath_074
        84735106
        0.7
        Bath_075
        50082364
        0.4
        Bath_076
        59448346
        0.5
        Bath_077
        39022417
        0.3
        Bath_078
        66741016
        0.5
        Bath_079
        16535026
        0.1
        Bath_080
        44614461
        0.4
        Bath_081
        2369124
        0.0
        Bath_082
        3058340
        0.0
        Bath_083
        1675071
        0.0
        Bath_084
        18806
        0.0
        Bath_085
        1668062
        0.0
        Bath_086
        1372675
        0.0
        Bath_087
        470389
        0.0
        Bath_088
        679172
        0.0
        Bath_089
        39300931
        0.3
        Bath_090
        81940776
        0.7
        Bath_091
        33370097
        0.3
        Bath_092
        669286
        0.0
        Bath_093
        66008949
        0.5
        Bath_094
        29260282
        0.2
        Bath_095
        18372922
        0.1
        Bath_096
        1693761
        0.0
        Bchi_001
        46814634
        0.4
        Bchi_002
        148628240
        1.2
        Bchi_003
        198103051
        1.6
        Bchi_004
        58033276
        0.5
        Bchi_005
        257445877
        2.1
        Bchi_006
        49809998
        0.4
        Bchi_007
        41340502
        0.3
        Bchi_008
        56334425
        0.5
        Bchi_009
        258816412
        2.1
        Bchi_010
        299673845
        2.4
        Bchi_011
        119919505
        1.0
        Bchi_012
        53638210
        0.4
        Bchi_013
        133940409
        1.1
        Bchi_014
        43454505
        0.4
        Bchi_015
        41819513
        0.3
        Bchi_016
        3147317
        0.0
        Bchi_017
        61368572
        0.5
        Bchi_018
        59321424
        0.5
        Bchi_019
        76865706
        0.6
        Bchi_020
        30149838
        0.2
        Bchi_021
        48642664
        0.4
        Bchi_022
        15150592
        0.1
        Bchi_023
        22027290
        0.2
        Bchi_024
        48712852
        0.4
        Bchi_025
        228951080
        1.9
        Bchi_026
        103608035
        0.8
        Bchi_027
        104576785
        0.8
        Bchi_028
        58077011
        0.5
        Bchi_029
        223223991
        1.8
        Bchi_030
        30590287
        0.2
        Bchi_031
        44388816
        0.4
        Bchi_032
        95153054
        0.8
        Bchi_033
        145066023
        1.2
        Bchi_034
        142552776
        1.2
        Bchi_035
        112085791
        0.9
        Bchi_036
        1541002
        0.0
        Bchi_037
        155459977
        1.3
        Bchi_038
        32381618
        0.3
        Bchi_039
        29086527
        0.2
        Bchi_040
        93876937
        0.8
        Bchi_041
        43169957
        0.3
        Bchi_042
        48301510
        0.4
        Bchi_043
        20712847
        0.2
        Bchi_044
        11432390
        0.1
        Bchi_045
        50688569
        0.4
        Bchi_046
        10972957
        0.1
        Bchi_047
        15577343
        0.1
        Bchi_048
        30165333
        0.2
        Bchi_049
        9755626
        0.1
        Bchi_050
        20197301
        0.2
        Bchi_051
        4960332
        0.0
        Bchi_052
        3411741
        0.0
        Bchi_053
        15218974
        0.1
        Bchi_054
        3845632
        0.0
        Bchi_055
        3346835
        0.0
        Bchi_056
        7677837
        0.1
        Bchi_057
        83737170
        0.7
        Bchi_058
        53043136
        0.4
        Bchi_059
        34628643
        0.3
        Bchi_060
        29658286
        0.2
        Bchi_061
        118497435
        1.0
        Bchi_062
        864930
        0.0
        Bchi_063
        21481528
        0.2
        Bchi_064
        40300118
        0.3
        Bchi_065
        112495082
        0.9
        Bchi_066
        127646582
        1.0
        Bchi_067
        95909853
        0.8
        Bchi_068
        30243813
        0.2
        Bchi_069
        138445121
        1.1
        Bchi_070
        14652494
        0.1
        Bchi_071
        29328442
        0.2
        Bchi_072
        88058839
        0.7
        Bchi_073
        195809194
        1.6
        Bchi_074
        139499549
        1.1
        Bchi_075
        102377656
        0.8
        Bchi_076
        76915593
        0.6
        Bchi_077
        184572677
        1.5
        Bchi_078
        22273293
        0.2
        Bchi_079
        63371002
        0.5
        Bchi_080
        90223282
        0.7
        Bchi_081
        148345290
        1.2
        Bchi_082
        121480003
        1.0
        Bchi_083
        47623987
        0.4
        Bchi_084
        43256865
        0.4
        Bchi_085
        147468764
        1.2
        Bchi_086
        11093844
        0.1
        Bchi_087
        24116347
        0.2
        Bchi_088
        53164555
        0.4
        Bchi_089
        187644079
        1.5
        Bchi_090
        195205461
        1.6
        Bchi_091
        58169947
        0.5
        Bchi_092
        34692426
        0.3
        Bchi_093
        286935115
        2.3
        Bchi_094
        22395642
        0.2
        Bchi_095
        32249756
        0.3
        Bchi_096
        56091503
        0.5

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF Reads% Undetermined% PhiX Aligned
        4.0
        15320088576
        12305317152
        10.5
        5.2

        FastQC

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        Sequence Counts

        Sequence counts for each sample. Duplicate read counts are an estimate only.

        This plot show the total number of reads, broken down into unique and duplicate if possible (only more recent versions of FastQC give duplicate info).

        You can read more about duplicate calculation in the FastQC documentation. A small part has been copied here for convenience:

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Quality Histograms
        386
        0
        0

        The mean quality value across each base position in the read.

        To enable multiple samples to be plotted on the same graph, only the mean quality scores are plotted (unlike the box plots seen in FastQC reports).

        Taken from the FastQC help:

        The y-axis on the graph shows the quality scores. The higher the score, the better the base call. The background of the graph divides the y axis into very good quality calls (green), calls of reasonable quality (orange), and calls of poor quality (red). The quality of calls on most platforms will degrade as the run progresses, so it is common to see base calls falling into the orange area towards the end of a read.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Sequence Quality Scores
        386
        0
        0

        The number of reads with average quality scores. Shows if a subset of reads has poor quality.

        From the FastQC help:

        The per sequence quality score report allows you to see if a subset of your sequences have universally low quality values. It is often the case that a subset of sequences will have universally poor quality, however these should represent only a small percentage of the total sequences.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base Sequence Content
        0
        2
        384

        The proportion of each base position for which each of the four normal DNA bases has been called.

        To enable multiple samples to be shown in a single plot, the base composition data is shown as a heatmap. The colours represent the balance between the four bases: an even distribution should give an even muddy brown colour. Hover over the plot to see the percentage of the four bases under the cursor.

        To see the data as a line plot, as in the original FastQC graph, click on a sample track.

        From the FastQC help:

        Per Base Sequence Content plots out the proportion of each base position in a file for which each of the four normal DNA bases has been called.

        In a random library you would expect that there would be little to no difference between the different bases of a sequence run, so the lines in this plot should run parallel with each other. The relative amount of each base should reflect the overall amount of these bases in your genome, but in any case they should not be hugely imbalanced from each other.

        It's worth noting that some types of library will always produce biased sequence composition, normally at the start of the read. Libraries produced by priming using random hexamers (including nearly all RNA-Seq libraries) and those which were fragmented using transposases inherit an intrinsic bias in the positions at which reads start. This bias does not concern an absolute sequence, but instead provides enrichement of a number of different K-mers at the 5' end of the reads. Whilst this is a true technical bias, it isn't something which can be corrected by trimming and in most cases doesn't seem to adversely affect the downstream analysis.

        Click a sample row to see a line plot for that dataset.
        Rollover for sample name
        Position: -
        %T: -
        %C: -
        %A: -
        %G: -

        Per Sequence GC Content
        350
        32
        4

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content.

        From the FastQC help:

        This module measures the GC content across the whole length of each sequence in a file and compares it to a modelled normal distribution of GC content.

        In a normal random library you would expect to see a roughly normal distribution of GC content where the central peak corresponds to the overall GC content of the underlying genome. Since we don't know the the GC content of the genome the modal GC content is calculated from the observed data and used to build a reference distribution.

        An unusually shaped distribution could indicate a contaminated library or some other kinds of biased subset. A normal distribution which is shifted indicates some systematic bias which is independent of base position. If there is a systematic bias which creates a shifted normal distribution then this won't be flagged as an error by the module since it doesn't know what your genome's GC content should be.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base N Content
        193
        193
        0

        The percentage of base calls at each position for which an N was called.

        From the FastQC help:

        If a sequencer is unable to make a base call with sufficient confidence then it will normally substitute an N rather than a conventional base call. This graph shows the percentage of base calls at each position for which an N was called.

        It's not unusual to see a very low proportion of Ns appearing in a sequence, especially nearer the end of a sequence. However, if this proportion rises above a few percent it suggests that the analysis pipeline was unable to interpret the data well enough to make valid base calls.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Length Distribution
        386
        0
        0

        All samples have sequences of a single length (151bp).

        Sequence Duplication Levels
        30
        27
        329

        The relative level of duplication found for every sequence.

        From the FastQC Help:

        In a diverse library most sequences will occur only once in the final set. A low level of duplication may indicate a very high level of coverage of the target sequence, but a high level of duplication is more likely to indicate some kind of enrichment bias (eg PCR over amplification). This graph shows the degree of duplication for every sequence in a library: the relative number of sequences with different degrees of duplication.

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        In a properly diverse library most sequences should fall into the far left of the plot in both the red and blue lines. A general level of enrichment, indicating broad oversequencing in the library will tend to flatten the lines, lowering the low end and generally raising other categories. More specific enrichments of subsets, or the presence of low complexity contaminants will tend to produce spikes towards the right of the plot.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Overrepresented sequences
        376
        9
        1

        The total amount of overrepresented sequences found in each library.

        FastQC calculates and lists overrepresented sequences in FastQ files. It would not be possible to show this for all samples in a MultiQC report, so instead this plot shows the number of sequences categorized as over represented.

        Sometimes, a single sequence may account for a large number of reads in a dataset. To show this, the bars are split into two: the first shows the overrepresented reads that come from the single most common sequence. The second shows the total count from all remaining overrepresented sequences.

        From the FastQC Help:

        A normal high-throughput library will contain a diverse set of sequences, with no individual sequence making up a tiny fraction of the whole. Finding that a single sequence is very overrepresented in the set either means that it is highly biologically significant, or indicates that the library is contaminated, or not as diverse as you expected.

        FastQC lists all of the sequences which make up more than 0.1% of the total. To conserve memory only sequences which appear in the first 100,000 sequences are tracked to the end of the file. It is therefore possible that a sequence which is overrepresented but doesn't appear at the start of the file for some reason could be missed by this module.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Adapter Content
        0
        0
        386

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position.

        Note that only samples with ≥ 0.1% adapter contamination are shown.

        There may be several lines per sample, as one is shown for each adapter detected in the file.

        From the FastQC Help:

        The plot shows a cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. Once a sequence has been seen in a read it is counted as being present right through to the end of the read so the percentages you see will only increase as the read length goes on.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Status Checks

        Status for each FastQC section showing whether results seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        FastQC assigns a status for each section of the report. These give a quick evaluation of whether the results of the analysis seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        It is important to stress that although the analysis results appear to give a pass/fail result, these evaluations must be taken in the context of what you expect from your library. A 'normal' sample as far as FastQC is concerned is random and diverse. Some experiments may be expected to produce libraries which are biased in particular ways. You should treat the summary evaluations therefore as pointers to where you should concentrate your attention and understand why your library may not look random and diverse.

        Specific guidance on how to interpret the output of each module can be found in the relevant report section, or in the FastQC help.

        In this heatmap, we summarise all of these into a single heatmap for a quick overview. Note that not all FastQC sections have plots in MultiQC reports, but all status checks are shown in this heatmap.

        Created with Highcharts 5.0.600.250.50.751Section NameChart context menuExport PlotFastQC: Status ChecksBasic St…Basic StatisticsPer Base Sequence QuPer Tile Sequence QuPer Sequence QualityPer Base Sequence CoPer Sequence GC ContPer Base N ContentSequence Length DistSequence DuplicationOverrepresented SequAdapter ContentHNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bchi_0HNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bath_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n01_Bchi_0HNCMMDSX3_n01_undeteHNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bath_0HNCMMDSX3_n02_Bchi_0HNCMMDSX3_n02_Bchi_0HNCMMDSX3_n02_Bchi_0HNCMMDSX3_n02_Bchi_0HNCMMDSX3_n02_Bchi_0Created with MultiQC