Loading report..

Highlight Samples

This report has flat image plots that won't be highlighted.
See the documentation for help.

Regex mode off

    Rename Samples

    This report has flat image plots that won't be renamed.
    See the documentation for help.

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      This report has flat image plots that won't be hidden.
      See the documentation for help.

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

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


        Choose Plots

        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

        Save Settings

        You can save the toolbox settings for this report to the browser.


        Load Settings

        Choose a saved report profile from the dropdown box below:

        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 2022-12-22, 09:09 based on data in: /scratch/gencore/logs/html/H7JYTBGXN/merged


        General Statistics

        Showing 366/366 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        H7JYTBGXN_n01_YY101
        40.0%
        58%
        3.7
        H7JYTBGXN_n01_YY102
        40.7%
        58%
        3.8
        H7JYTBGXN_n01_YY103
        43.8%
        58%
        4.3
        H7JYTBGXN_n01_YY104
        41.7%
        58%
        3.9
        H7JYTBGXN_n01_YY105
        46.4%
        57%
        2.4
        H7JYTBGXN_n01_YY106
        30.0%
        58%
        2.0
        H7JYTBGXN_n01_YY107
        36.7%
        57%
        3.0
        H7JYTBGXN_n01_YY108
        37.2%
        57%
        2.8
        H7JYTBGXN_n01_YY109
        34.9%
        58%
        2.6
        H7JYTBGXN_n01_YY110
        33.6%
        58%
        2.5
        H7JYTBGXN_n01_YY111
        35.6%
        58%
        2.6
        H7JYTBGXN_n01_YY112
        35.6%
        57%
        2.7
        H7JYTBGXN_n01_YY113
        28.0%
        58%
        1.5
        H7JYTBGXN_n01_YY114
        32.0%
        57%
        2.3
        H7JYTBGXN_n01_YY115
        36.8%
        57%
        3.1
        H7JYTBGXN_n01_YY116
        30.8%
        57%
        2.0
        H7JYTBGXN_n01_YY117
        23.7%
        58%
        1.6
        H7JYTBGXN_n01_YY118
        46.3%
        58%
        5.7
        H7JYTBGXN_n01_YY119
        38.7%
        58%
        3.3
        H7JYTBGXN_n01_YY120
        42.4%
        61%
        3.5
        H7JYTBGXN_n01_YY121
        32.7%
        59%
        2.8
        H7JYTBGXN_n01_YY122
        41.1%
        54%
        3.4
        H7JYTBGXN_n01_YY123
        50.2%
        57%
        3.8
        H7JYTBGXN_n01_YY124
        41.7%
        58%
        4.1
        H7JYTBGXN_n01_YY125
        42.3%
        58%
        4.5
        H7JYTBGXN_n01_YY126
        33.4%
        59%
        2.8
        H7JYTBGXN_n01_YY127
        40.0%
        58%
        3.5
        H7JYTBGXN_n01_YY128
        40.4%
        58%
        3.6
        H7JYTBGXN_n01_YY129
        42.8%
        58%
        4.4
        H7JYTBGXN_n01_YY130
        38.0%
        59%
        3.7
        H7JYTBGXN_n01_YY131
        42.6%
        58%
        4.5
        H7JYTBGXN_n01_YY132
        31.1%
        69%
        1.6
        H7JYTBGXN_n01_YY133
        37.8%
        61%
        2.5
        H7JYTBGXN_n01_YY134
        33.5%
        58%
        2.6
        H7JYTBGXN_n01_YY135
        46.1%
        58%
        5.0
        H7JYTBGXN_n01_YY136
        43.9%
        58%
        4.6
        H7JYTBGXN_n01_YY137
        40.0%
        58%
        3.8
        H7JYTBGXN_n01_YY138
        38.3%
        58%
        3.9
        H7JYTBGXN_n01_YY139
        43.9%
        58%
        4.7
        H7JYTBGXN_n01_YY140
        8.0%
        59%
        0.0
        H7JYTBGXN_n01_YY141
        41.2%
        58%
        3.8
        H7JYTBGXN_n01_YY142
        46.6%
        56%
        4.7
        H7JYTBGXN_n01_YY143
        43.8%
        58%
        4.4
        H7JYTBGXN_n01_YY144
        41.7%
        57%
        3.5
        H7JYTBGXN_n01_YY145
        40.8%
        57%
        4.0
        H7JYTBGXN_n01_YY146
        34.5%
        65%
        1.8
        H7JYTBGXN_n01_YY147
        44.4%
        58%
        4.7
        H7JYTBGXN_n01_YY148
        28.9%
        67%
        1.3
        H7JYTBGXN_n01_YY149
        19.1%
        58%
        1.1
        H7JYTBGXN_n01_YY150
        13.8%
        58%
        0.7
        H7JYTBGXN_n01_YY151
        15.5%
        58%
        1.1
        H7JYTBGXN_n01_YY152
        11.7%
        58%
        0.5
        H7JYTBGXN_n01_YY153
        14.9%
        58%
        0.8
        H7JYTBGXN_n01_YY154
        13.6%
        58%
        0.7
        H7JYTBGXN_n01_YY155
        10.2%
        58%
        0.5
        H7JYTBGXN_n01_YY156
        13.9%
        58%
        0.7
        H7JYTBGXN_n01_YY157
        37.7%
        58%
        3.2
        H7JYTBGXN_n01_YY158
        38.6%
        58%
        3.2
        H7JYTBGXN_n01_YY159
        38.6%
        58%
        3.1
        H7JYTBGXN_n01_YY160
        39.2%
        58%
        3.4
        H7JYTBGXN_n01_YY161
        37.2%
        58%
        3.1
        H7JYTBGXN_n01_YY162
        40.0%
        58%
        3.6
        H7JYTBGXN_n01_YY163
        29.7%
        63%
        2.9
        H7JYTBGXN_n01_YY164
        21.9%
        58%
        2.3
        H7JYTBGXN_n01_YY165
        26.7%
        57%
        2.0
        H7JYTBGXN_n01_YY166
        20.2%
        56%
        1.2
        H7JYTBGXN_n01_YY167
        18.1%
        55%
        0.8
        H7JYTBGXN_n01_YY168
        12.7%
        56%
        0.5
        H7JYTBGXN_n01_YY169
        8.0%
        58%
        0.3
        H7JYTBGXN_n01_YY170
        10.9%
        55%
        0.4
        H7JYTBGXN_n01_YY171
        12.0%
        56%
        0.5
        H7JYTBGXN_n01_YY172
        11.9%
        56%
        0.4
        H7JYTBGXN_n01_YY173
        28.7%
        57%
        1.8
        H7JYTBGXN_n01_YY174
        8.5%
        55%
        0.0
        H7JYTBGXN_n01_YY175
        29.9%
        62%
        1.9
        H7JYTBGXN_n01_YY176
        28.7%
        57%
        2.0
        H7JYTBGXN_n01_YY177
        18.4%
        58%
        1.1
        H7JYTBGXN_n01_YY178
        14.2%
        57%
        0.5
        H7JYTBGXN_n01_YY179
        26.0%
        59%
        1.7
        H7JYTBGXN_n01_YY180
        5.6%
        57%
        0.3
        H7JYTBGXN_n01_YY181
        27.3%
        59%
        1.2
        H7JYTBGXN_n01_YY182
        24.8%
        58%
        1.3
        H7JYTBGXN_n01_YY183
        31.3%
        58%
        2.0
        H7JYTBGXN_n01_YY184
        28.5%
        59%
        1.6
        H7JYTBGXN_n01_YY185
        10.2%
        60%
        0.5
        H7JYTBGXN_n01_YY186
        26.7%
        57%
        1.5
        H7JYTBGXN_n01_YY187
        32.7%
        57%
        1.9
        H7JYTBGXN_n01_YY188
        37.4%
        57%
        3.0
        H7JYTBGXN_n01_YY201
        44.0%
        56%
        1.6
        H7JYTBGXN_n01_YY202
        0.0%
        57%
        0.0
        H7JYTBGXN_n01_YY203
        26.7%
        57%
        1.1
        H7JYTBGXN_n01_YY204
        31.7%
        57%
        1.8
        H7JYTBGXN_n01_YY205
        0.0%
        57%
        0.0
        H7JYTBGXN_n01_YY206
        44.5%
        57%
        3.7
        H7JYTBGXN_n01_YY207
        40.2%
        59%
        2.7
        H7JYTBGXN_n01_YY208
        39.4%
        57%
        2.3
        H7JYTBGXN_n01_YY209
        35.2%
        57%
        2.0
        H7JYTBGXN_n01_YY210
        18.6%
        57%
        0.5
        H7JYTBGXN_n01_YY211
        30.2%
        56%
        1.8
        H7JYTBGXN_n01_YY212
        30.0%
        56%
        1.7
        H7JYTBGXN_n01_YY213
        19.4%
        55%
        0.7
        H7JYTBGXN_n01_YY214
        41.8%
        55%
        3.3
        H7JYTBGXN_n01_YY215
        37.3%
        56%
        2.6
        H7JYTBGXN_n01_YY216
        30.0%
        56%
        1.5
        H7JYTBGXN_n01_YY217
        39.9%
        64%
        1.0
        H7JYTBGXN_n01_YY218
        43.5%
        56%
        2.0
        H7JYTBGXN_n01_YY219
        38.6%
        57%
        2.8
        H7JYTBGXN_n01_YY220
        20.8%
        59%
        1.7
        H7JYTBGXN_n01_YY221
        16.5%
        59%
        0.5
        H7JYTBGXN_n01_YY222
        32.2%
        59%
        1.4
        H7JYTBGXN_n01_YY223
        13.3%
        60%
        0.5
        H7JYTBGXN_n01_YY224
        31.0%
        58%
        1.3
        H7JYTBGXN_n01_YY225
        53.5%
        56%
        3.9
        H7JYTBGXN_n01_YY226
        48.4%
        56%
        3.0
        H7JYTBGXN_n01_YY227
        41.1%
        55%
        2.7
        H7JYTBGXN_n01_YY228
        36.1%
        56%
        2.7
        H7JYTBGXN_n01_YY229
        37.8%
        55%
        2.3
        H7JYTBGXN_n01_YY230
        49.8%
        55%
        4.7
        H7JYTBGXN_n01_YY231
        41.4%
        56%
        3.1
        H7JYTBGXN_n01_YY232
        39.4%
        55%
        2.3
        H7JYTBGXN_n01_YY233
        46.2%
        62%
        1.8
        H7JYTBGXN_n01_YY234
        49.6%
        67%
        1.7
        H7JYTBGXN_n01_YY235
        42.7%
        56%
        3.4
        H7JYTBGXN_n01_YY236
        39.9%
        56%
        2.9
        H7JYTBGXN_n01_YY237
        0.0%
        58%
        0.0
        H7JYTBGXN_n01_YY238
        27.9%
        56%
        1.3
        H7JYTBGXN_n01_YY239
        25.9%
        57%
        1.8
        H7JYTBGXN_n01_YY240
        35.5%
        68%
        1.4
        H7JYTBGXN_n01_YY241
        32.1%
        56%
        1.4
        H7JYTBGXN_n01_YY242
        33.2%
        56%
        1.5
        H7JYTBGXN_n01_YY243
        13.3%
        62%
        0.4
        H7JYTBGXN_n01_YY244
        24.1%
        56%
        1.2
        H7JYTBGXN_n01_YY245
        26.1%
        56%
        1.4
        H7JYTBGXN_n01_YY246
        36.5%
        56%
        2.6
        H7JYTBGXN_n01_YY247
        32.6%
        56%
        2.1
        H7JYTBGXN_n01_YY248
        32.2%
        56%
        1.9
        H7JYTBGXN_n01_YY249
        44.1%
        62%
        2.6
        H7JYTBGXN_n01_YY250
        49.0%
        56%
        3.6
        H7JYTBGXN_n01_YY251
        38.0%
        56%
        3.3
        H7JYTBGXN_n01_YY252
        33.4%
        56%
        2.4
        H7JYTBGXN_n01_YY253
        43.2%
        55%
        3.8
        H7JYTBGXN_n01_YY254
        50.5%
        56%
        5.9
        H7JYTBGXN_n01_YY255
        43.2%
        56%
        4.0
        H7JYTBGXN_n01_YY256
        41.6%
        56%
        3.4
        H7JYTBGXN_n01_YY257
        50.8%
        56%
        2.4
        H7JYTBGXN_n01_YY258
        49.9%
        56%
        3.4
        H7JYTBGXN_n01_YY259
        39.2%
        57%
        3.2
        H7JYTBGXN_n01_YY260
        38.0%
        57%
        2.8
        H7JYTBGXN_n01_YY261
        37.5%
        57%
        2.4
        H7JYTBGXN_n01_YY262
        47.0%
        57%
        4.1
        H7JYTBGXN_n01_YY263
        39.3%
        57%
        2.5
        H7JYTBGXN_n01_YY264
        41.4%
        57%
        2.9
        H7JYTBGXN_n01_YY265
        49.9%
        64%
        2.6
        H7JYTBGXN_n01_YY266
        0.0%
        51%
        0.0
        H7JYTBGXN_n01_YY267
        21.1%
        54%
        1.4
        H7JYTBGXN_n01_YY268
        16.9%
        57%
        1.2
        H7JYTBGXN_n01_YY269
        23.8%
        53%
        0.8
        H7JYTBGXN_n01_YY270
        40.9%
        57%
        2.3
        H7JYTBGXN_n01_YY271
        32.7%
        58%
        2.0
        H7JYTBGXN_n01_YY272
        43.3%
        57%
        3.0
        H7JYTBGXN_n01_YY273
        48.0%
        57%
        2.2
        H7JYTBGXN_n01_YY274
        31.3%
        58%
        1.1
        H7JYTBGXN_n01_YY275
        30.4%
        57%
        1.5
        H7JYTBGXN_n01_YY276
        31.5%
        65%
        1.3
        H7JYTBGXN_n01_YY277
        18.4%
        66%
        0.3
        H7JYTBGXN_n01_YY278
        34.7%
        57%
        1.5
        H7JYTBGXN_n01_YY279
        37.3%
        40%
        3.3
        H7JYTBGXN_n01_YY280
        25.1%
        62%
        1.2
        H7JYTBGXN_n01_YY281
        45.6%
        57%
        1.7
        H7JYTBGXN_n01_YY282
        45.1%
        57%
        2.0
        H7JYTBGXN_n01_YY283
        27.3%
        57%
        1.0
        H7JYTBGXN_n01_YY284
        26.4%
        57%
        1.1
        H7JYTBGXN_n01_YY285
        1.3%
        58%
        0.0
        H7JYTBGXN_n01_YY286
        1.1%
        59%
        0.0
        H7JYTBGXN_n01_YY287
        35.0%
        57%
        2.1
        H7JYTBGXN_n01_YY288
        26.1%
        58%
        0.8
        H7JYTBGXN_n01_YY289
        48.5%
        57%
        2.0
        H7JYTBGXN_n01_YY290
        46.2%
        57%
        1.8
        H7JYTBGXN_n01_YY291
        29.5%
        57%
        1.4
        H7JYTBGXN_n01_YY292
        29.1%
        57%
        1.6
        H7JYTBGXN_n01_YY293
        46.1%
        57%
        3.4
        H7JYTBGXN_n01_YY294
        41.5%
        57%
        2.7
        H7JYTBGXN_n01_undetermined
        64.7%
        50%
        34.0
        H7JYTBGXN_n02_YY101
        38.7%
        58%
        3.7
        H7JYTBGXN_n02_YY102
        38.8%
        58%
        3.8
        H7JYTBGXN_n02_YY103
        42.1%
        58%
        4.3
        H7JYTBGXN_n02_YY104
        40.1%
        58%
        3.9
        H7JYTBGXN_n02_YY105
        45.4%
        57%
        2.4
        H7JYTBGXN_n02_YY106
        29.2%
        58%
        2.0
        H7JYTBGXN_n02_YY107
        35.4%
        57%
        3.0
        H7JYTBGXN_n02_YY108
        35.4%
        58%
        2.8
        H7JYTBGXN_n02_YY109
        33.3%
        58%
        2.6
        H7JYTBGXN_n02_YY110
        32.1%
        58%
        2.5
        H7JYTBGXN_n02_YY111
        33.9%
        58%
        2.6
        H7JYTBGXN_n02_YY112
        34.1%
        57%
        2.7
        H7JYTBGXN_n02_YY113
        27.3%
        58%
        1.5
        H7JYTBGXN_n02_YY114
        30.9%
        58%
        2.3
        H7JYTBGXN_n02_YY115
        35.3%
        57%
        3.1
        H7JYTBGXN_n02_YY116
        29.6%
        57%
        2.0
        H7JYTBGXN_n02_YY117
        22.7%
        58%
        1.6
        H7JYTBGXN_n02_YY118
        44.7%
        58%
        5.7
        H7JYTBGXN_n02_YY119
        37.0%
        58%
        3.3
        H7JYTBGXN_n02_YY120
        40.4%
        61%
        3.5
        H7JYTBGXN_n02_YY121
        33.2%
        59%
        2.8
        H7JYTBGXN_n02_YY122
        39.8%
        54%
        3.4
        H7JYTBGXN_n02_YY123
        48.3%
        57%
        3.8
        H7JYTBGXN_n02_YY124
        40.3%
        58%
        4.1
        H7JYTBGXN_n02_YY125
        41.1%
        58%
        4.5
        H7JYTBGXN_n02_YY126
        31.8%
        59%
        2.8
        H7JYTBGXN_n02_YY127
        38.6%
        58%
        3.5
        H7JYTBGXN_n02_YY128
        38.6%
        58%
        3.6
        H7JYTBGXN_n02_YY129
        41.6%
        58%
        4.4
        H7JYTBGXN_n02_YY130
        36.3%
        59%
        3.7
        H7JYTBGXN_n02_YY131
        41.0%
        58%
        4.5
        H7JYTBGXN_n02_YY132
        29.1%
        70%
        1.6
        H7JYTBGXN_n02_YY133
        36.2%
        61%
        2.5
        H7JYTBGXN_n02_YY134
        32.0%
        58%
        2.6
        H7JYTBGXN_n02_YY135
        44.5%
        58%
        5.0
        H7JYTBGXN_n02_YY136
        42.4%
        58%
        4.6
        H7JYTBGXN_n02_YY137
        38.7%
        58%
        3.8
        H7JYTBGXN_n02_YY138
        38.3%
        58%
        3.9
        H7JYTBGXN_n02_YY139
        42.3%
        58%
        4.7
        H7JYTBGXN_n02_YY140
        7.8%
        60%
        0.0
        H7JYTBGXN_n02_YY141
        39.7%
        58%
        3.8
        H7JYTBGXN_n02_YY142
        44.6%
        56%
        4.7
        H7JYTBGXN_n02_YY143
        42.0%
        58%
        4.4
        H7JYTBGXN_n02_YY144
        39.9%
        57%
        3.5
        H7JYTBGXN_n02_YY145
        39.7%
        57%
        4.0
        H7JYTBGXN_n02_YY146
        32.5%
        65%
        1.8
        H7JYTBGXN_n02_YY147
        43.0%
        58%
        4.7
        H7JYTBGXN_n02_YY148
        27.0%
        67%
        1.3
        H7JYTBGXN_n02_YY149
        18.4%
        58%
        1.1
        H7JYTBGXN_n02_YY150
        13.0%
        58%
        0.7
        H7JYTBGXN_n02_YY151
        14.6%
        58%
        1.1
        H7JYTBGXN_n02_YY152
        11.0%
        58%
        0.5
        H7JYTBGXN_n02_YY153
        14.4%
        58%
        0.8
        H7JYTBGXN_n02_YY154
        12.9%
        58%
        0.7
        H7JYTBGXN_n02_YY155
        9.7%
        58%
        0.5
        H7JYTBGXN_n02_YY156
        13.1%
        58%
        0.7
        H7JYTBGXN_n02_YY157
        36.2%
        58%
        3.2
        H7JYTBGXN_n02_YY158
        36.8%
        58%
        3.2
        H7JYTBGXN_n02_YY159
        36.9%
        58%
        3.1
        H7JYTBGXN_n02_YY160
        37.5%
        58%
        3.4
        H7JYTBGXN_n02_YY161
        35.9%
        58%
        3.1
        H7JYTBGXN_n02_YY162
        38.6%
        58%
        3.6
        H7JYTBGXN_n02_YY163
        28.3%
        63%
        2.9
        H7JYTBGXN_n02_YY164
        20.7%
        58%
        2.3
        H7JYTBGXN_n02_YY165
        25.6%
        57%
        2.0
        H7JYTBGXN_n02_YY166
        19.9%
        56%
        1.2
        H7JYTBGXN_n02_YY167
        17.2%
        55%
        0.8
        H7JYTBGXN_n02_YY168
        12.0%
        56%
        0.5
        H7JYTBGXN_n02_YY169
        8.2%
        58%
        0.3
        H7JYTBGXN_n02_YY170
        10.3%
        55%
        0.4
        H7JYTBGXN_n02_YY171
        11.9%
        56%
        0.5
        H7JYTBGXN_n02_YY172
        11.3%
        56%
        0.4
        H7JYTBGXN_n02_YY173
        27.2%
        57%
        1.8
        H7JYTBGXN_n02_YY174
        7.9%
        55%
        0.0
        H7JYTBGXN_n02_YY175
        28.6%
        62%
        1.9
        H7JYTBGXN_n02_YY176
        27.1%
        57%
        2.0
        H7JYTBGXN_n02_YY177
        17.4%
        59%
        1.1
        H7JYTBGXN_n02_YY178
        13.4%
        57%
        0.5
        H7JYTBGXN_n02_YY179
        24.8%
        59%
        1.7
        H7JYTBGXN_n02_YY180
        6.0%
        57%
        0.3
        H7JYTBGXN_n02_YY181
        26.1%
        59%
        1.2
        H7JYTBGXN_n02_YY182
        23.8%
        58%
        1.3
        H7JYTBGXN_n02_YY183
        29.7%
        59%
        2.0
        H7JYTBGXN_n02_YY184
        27.3%
        59%
        1.6
        H7JYTBGXN_n02_YY185
        10.8%
        60%
        0.5
        H7JYTBGXN_n02_YY186
        25.6%
        57%
        1.5
        H7JYTBGXN_n02_YY187
        31.3%
        57%
        1.9
        H7JYTBGXN_n02_YY188
        35.7%
        57%
        3.0
        H7JYTBGXN_n02_YY201
        42.2%
        56%
        1.6
        H7JYTBGXN_n02_YY202
        0.0%
        54%
        0.0
        H7JYTBGXN_n02_YY203
        25.5%
        57%
        1.1
        H7JYTBGXN_n02_YY204
        30.1%
        57%
        1.8
        H7JYTBGXN_n02_YY205
        0.0%
        55%
        0.0
        H7JYTBGXN_n02_YY206
        42.7%
        57%
        3.7
        H7JYTBGXN_n02_YY207
        38.5%
        59%
        2.7
        H7JYTBGXN_n02_YY208
        37.5%
        57%
        2.3
        H7JYTBGXN_n02_YY209
        33.6%
        58%
        2.0
        H7JYTBGXN_n02_YY210
        17.8%
        57%
        0.5
        H7JYTBGXN_n02_YY211
        29.1%
        56%
        1.8
        H7JYTBGXN_n02_YY212
        28.8%
        56%
        1.7
        H7JYTBGXN_n02_YY213
        18.7%
        56%
        0.7
        H7JYTBGXN_n02_YY214
        40.3%
        56%
        3.3
        H7JYTBGXN_n02_YY215
        35.8%
        56%
        2.6
        H7JYTBGXN_n02_YY216
        28.7%
        56%
        1.5
        H7JYTBGXN_n02_YY217
        38.4%
        64%
        1.0
        H7JYTBGXN_n02_YY218
        42.1%
        56%
        2.0
        H7JYTBGXN_n02_YY219
        37.0%
        57%
        2.8
        H7JYTBGXN_n02_YY220
        19.9%
        59%
        1.7
        H7JYTBGXN_n02_YY221
        17.2%
        59%
        0.5
        H7JYTBGXN_n02_YY222
        31.1%
        59%
        1.4
        H7JYTBGXN_n02_YY223
        14.4%
        59%
        0.5
        H7JYTBGXN_n02_YY224
        29.5%
        59%
        1.3
        H7JYTBGXN_n02_YY225
        51.6%
        56%
        3.9
        H7JYTBGXN_n02_YY226
        46.4%
        56%
        3.0
        H7JYTBGXN_n02_YY227
        39.4%
        56%
        2.7
        H7JYTBGXN_n02_YY228
        34.5%
        56%
        2.7
        H7JYTBGXN_n02_YY229
        36.7%
        56%
        2.3
        H7JYTBGXN_n02_YY230
        48.1%
        56%
        4.7
        H7JYTBGXN_n02_YY231
        39.9%
        56%
        3.1
        H7JYTBGXN_n02_YY232
        37.7%
        56%
        2.3
        H7JYTBGXN_n02_YY233
        44.5%
        63%
        1.8
        H7JYTBGXN_n02_YY234
        46.8%
        68%
        1.7
        H7JYTBGXN_n02_YY235
        40.9%
        56%
        3.4
        H7JYTBGXN_n02_YY236
        38.1%
        56%
        2.9
        H7JYTBGXN_n02_YY237
        0.0%
        56%
        0.0
        H7JYTBGXN_n02_YY238
        27.3%
        56%
        1.3
        H7JYTBGXN_n02_YY239
        24.9%
        57%
        1.8
        H7JYTBGXN_n02_YY240
        33.3%
        69%
        1.4
        H7JYTBGXN_n02_YY241
        30.3%
        56%
        1.4
        H7JYTBGXN_n02_YY242
        31.5%
        56%
        1.5
        H7JYTBGXN_n02_YY243
        12.2%
        63%
        0.4
        H7JYTBGXN_n02_YY244
        22.6%
        56%
        1.2
        H7JYTBGXN_n02_YY245
        24.9%
        56%
        1.4
        H7JYTBGXN_n02_YY246
        35.1%
        56%
        2.6
        H7JYTBGXN_n02_YY247
        31.2%
        56%
        2.1
        H7JYTBGXN_n02_YY248
        31.0%
        56%
        1.9
        H7JYTBGXN_n02_YY249
        42.2%
        62%
        2.6
        H7JYTBGXN_n02_YY250
        47.0%
        56%
        3.6
        H7JYTBGXN_n02_YY251
        36.5%
        56%
        3.3
        H7JYTBGXN_n02_YY252
        31.9%
        56%
        2.4
        H7JYTBGXN_n02_YY253
        41.9%
        56%
        3.8
        H7JYTBGXN_n02_YY254
        48.9%
        56%
        5.9
        H7JYTBGXN_n02_YY255
        41.5%
        56%
        4.0
        H7JYTBGXN_n02_YY256
        39.8%
        56%
        3.4
        H7JYTBGXN_n02_YY257
        49.3%
        56%
        2.4
        H7JYTBGXN_n02_YY258
        48.0%
        56%
        3.4
        H7JYTBGXN_n02_YY259
        38.0%
        57%
        3.2
        H7JYTBGXN_n02_YY260
        36.4%
        57%
        2.8
        H7JYTBGXN_n02_YY261
        36.6%
        57%
        2.4
        H7JYTBGXN_n02_YY262
        45.7%
        57%
        4.1
        H7JYTBGXN_n02_YY263
        37.5%
        57%
        2.5
        H7JYTBGXN_n02_YY264
        40.0%
        57%
        2.9
        H7JYTBGXN_n02_YY265
        48.0%
        64%
        2.6
        H7JYTBGXN_n02_YY266
        0.0%
        48%
        0.0
        H7JYTBGXN_n02_YY267
        20.5%
        54%
        1.4
        H7JYTBGXN_n02_YY268
        17.0%
        57%
        1.2
        H7JYTBGXN_n02_YY269
        23.4%
        53%
        0.8
        H7JYTBGXN_n02_YY270
        39.6%
        57%
        2.3
        H7JYTBGXN_n02_YY271
        31.3%
        58%
        2.0
        H7JYTBGXN_n02_YY272
        41.5%
        57%
        3.0
        H7JYTBGXN_n02_YY273
        46.2%
        57%
        2.2
        H7JYTBGXN_n02_YY274
        30.0%
        58%
        1.1
        H7JYTBGXN_n02_YY275
        29.1%
        57%
        1.5
        H7JYTBGXN_n02_YY276
        30.1%
        65%
        1.3
        H7JYTBGXN_n02_YY277
        17.9%
        66%
        0.3
        H7JYTBGXN_n02_YY278
        33.4%
        57%
        1.5
        H7JYTBGXN_n02_YY279
        36.3%
        40%
        3.3
        H7JYTBGXN_n02_YY280
        24.1%
        63%
        1.2
        H7JYTBGXN_n02_YY281
        44.2%
        57%
        1.7
        H7JYTBGXN_n02_YY282
        43.6%
        57%
        2.0
        H7JYTBGXN_n02_YY283
        26.0%
        57%
        1.0
        H7JYTBGXN_n02_YY284
        25.1%
        57%
        1.1
        H7JYTBGXN_n02_YY285
        1.3%
        58%
        0.0
        H7JYTBGXN_n02_YY286
        0.9%
        59%
        0.0
        H7JYTBGXN_n02_YY287
        33.7%
        58%
        2.1
        H7JYTBGXN_n02_YY288
        24.5%
        58%
        0.8
        H7JYTBGXN_n02_YY289
        46.7%
        57%
        2.0
        H7JYTBGXN_n02_YY290
        44.1%
        57%
        1.8
        H7JYTBGXN_n02_YY291
        27.9%
        57%
        1.4
        H7JYTBGXN_n02_YY292
        27.8%
        57%
        1.6
        H7JYTBGXN_n02_YY293
        44.3%
        58%
        3.4
        H7JYTBGXN_n02_YY294
        40.1%
        57%
        2.7
        H7JYTBGXN_n02_undetermined
        64.8%
        51%
        34.0

        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
        18359127.0
        54.0
        TATAGCGATCACGCGT
        1457932.0
        4.3
        GGGGGGGGGTAGATCG
        677114.0
        2.0
        GGGGGGGGTCACGCGT
        658427.0
        1.9
        GGGGGGGGAGTGTAGA
        638472.0
        1.9
        GGGGGGGGCATACTAG
        592474.0
        1.7
        GGGGGGGGCACTAGAC
        548719.0
        1.6
        GGGGGGGGTGCTGCTT
        505495.0
        1.5
        GGGGGGGGGTGACGCA
        500119.0
        1.5
        GGGGGGGGACGCTATC
        478811.0
        1.4
        NNNNNNNNNNNNNNNN
        104100.0
        0.3
        GGGGGGGGAGCTCTCG
        50708.0
        0.1
        TAGTCTCCGGGGGGGG
        47097.0
        0.1
        GATCTACGGGGGGGGG
        45309.0
        0.1
        TAGCAGCTGGGGGGGG
        44120.0
        0.1
        TCTCTATGGGGGGGGG
        43367.0
        0.1
        GTAACGAGGGGGGGGG
        42321.0
        0.1
        ACTCACTGGGGGGGGG
        39451.0
        0.1
        ATAGTACCGGGGGGGG
        39200.0
        0.1
        CTCGACTTGGGGGGGG
        38420.0
        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 183/183 rows and 2/2 columns.
        LibraryTotal Read CountPortion (%)
        undetermined_library
        33967102
        7.7
        YY101
        3692352
        0.8
        YY102
        3844566
        0.9
        YY103
        4283053
        1.0
        YY104
        3863627
        0.9
        YY105
        2449443
        0.6
        YY106
        2048491
        0.5
        YY107
        3020343
        0.7
        YY108
        2811082
        0.6
        YY109
        2604042
        0.6
        YY110
        2496529
        0.6
        YY111
        2607828
        0.6
        YY112
        2693558
        0.6
        YY113
        1471576
        0.3
        YY114
        2325566
        0.5
        YY115
        3139328
        0.7
        YY116
        1970269
        0.4
        YY117
        1576823
        0.4
        YY118
        5687401
        1.3
        YY119
        3283298
        0.7
        YY120
        3463204
        0.8
        YY121
        2809770
        0.6
        YY122
        3362476
        0.8
        YY123
        3831388
        0.9
        YY124
        4087655
        0.9
        YY125
        4509101
        1.0
        YY126
        2840880
        0.6
        YY127
        3468745
        0.8
        YY128
        3634216
        0.8
        YY129
        4430193
        1.0
        YY130
        3663837
        0.8
        YY131
        4529936
        1.0
        YY132
        1550638
        0.4
        YY133
        2528188
        0.6
        YY134
        2640320
        0.6
        YY135
        4993234
        1.1
        YY136
        4563858
        1.0
        YY137
        3811828
        0.9
        YY138
        3863931
        0.9
        YY139
        4722432
        1.1
        YY140
        16708
        0.0
        YY141
        3839923
        0.9
        YY142
        4675582
        1.1
        YY143
        4404412
        1.0
        YY144
        3502590
        0.8
        YY145
        3952736
        0.9
        YY146
        1805998
        0.4
        YY147
        4696017
        1.1
        YY148
        1313178
        0.3
        YY149
        1123483
        0.3
        YY150
        703567
        0.2
        YY151
        1086729
        0.2
        YY152
        548611
        0.1
        YY153
        823811
        0.2
        YY154
        705319
        0.2
        YY155
        464641
        0.1
        YY156
        728897
        0.2
        YY157
        3172456
        0.7
        YY158
        3190605
        0.7
        YY159
        3145611
        0.7
        YY160
        3407847
        0.8
        YY161
        3113196
        0.7
        YY162
        3646315
        0.8
        YY163
        2882006
        0.7
        YY164
        2270320
        0.5
        YY165
        2029346
        0.5
        YY166
        1242236
        0.3
        YY167
        796815
        0.2
        YY168
        459317
        0.1
        YY169
        300993
        0.1
        YY170
        372180
        0.1
        YY171
        489577
        0.1
        YY172
        435433
        0.1
        YY173
        1801058
        0.4
        YY174
        316.0
        0.0
        YY175
        1865660
        0.4
        YY176
        1978621
        0.4
        YY177
        1106540
        0.3
        YY178
        476712
        0.1
        YY179
        1675467
        0.4
        YY180
        250628
        0.1
        YY181
        1185481
        0.3
        YY182
        1334196
        0.3
        YY183
        2037998
        0.5
        YY184
        1640106
        0.4
        YY185
        460332
        0.1
        YY186
        1472230
        0.3
        YY187
        1915419
        0.4
        YY188
        3014319
        0.7
        YY201
        1649742
        0.4
        YY202
        98.0
        0.0
        YY203
        1063994
        0.2
        YY204
        1819984
        0.4
        YY205
        100.0
        0.0
        YY206
        3694067
        0.8
        YY207
        2659227
        0.6
        YY208
        2332536
        0.5
        YY209
        2037556
        0.5
        YY210
        547844
        0.1
        YY211
        1799624
        0.4
        YY212
        1736124
        0.4
        YY213
        696741
        0.2
        YY214
        3257973
        0.7
        YY215
        2607022
        0.6
        YY216
        1466572
        0.3
        YY217
        1028101
        0.2
        YY218
        2012753
        0.5
        YY219
        2779971
        0.6
        YY220
        1677865
        0.4
        YY221
        545501
        0.1
        YY222
        1421088
        0.3
        YY223
        455812
        0.1
        YY224
        1275781
        0.3
        YY225
        3934806
        0.9
        YY226
        2978159
        0.7
        YY227
        2735899
        0.6
        YY228
        2746744
        0.6
        YY229
        2338425
        0.5
        YY230
        4705739
        1.1
        YY231
        3124616
        0.7
        YY232
        2323842
        0.5
        YY233
        1838157
        0.4
        YY234
        1732317
        0.4
        YY235
        3361990
        0.8
        YY236
        2912221
        0.7
        YY237
        144.0
        0.0
        YY238
        1279157
        0.3
        YY239
        1753373
        0.4
        YY240
        1398213
        0.3
        YY241
        1433673
        0.3
        YY242
        1490720
        0.3
        YY243
        377206
        0.1
        YY244
        1231392
        0.3
        YY245
        1410547
        0.3
        YY246
        2550142
        0.6
        YY247
        2117329
        0.5
        YY248
        1932068
        0.4
        YY249
        2557964
        0.6
        YY250
        3624343
        0.8
        YY251
        3297177
        0.7
        YY252
        2397598
        0.5
        YY253
        3800162
        0.9
        YY254
        5922088
        1.3
        YY255
        3972095
        0.9
        YY256
        3412861
        0.8
        YY257
        2420118
        0.5
        YY258
        3419456
        0.8
        YY259
        3159319
        0.7
        YY260
        2803990
        0.6
        YY261
        2376775
        0.5
        YY262
        4121289
        0.9
        YY263
        2532661
        0.6
        YY264
        2886738
        0.7
        YY265
        2567816
        0.6
        YY266
        55.0
        0.0
        YY267
        1383360
        0.3
        YY268
        1189797
        0.3
        YY269
        821781
        0.2
        YY270
        2261657
        0.5
        YY271
        2041587
        0.5
        YY272
        2979939
        0.7
        YY273
        2174795
        0.5
        YY274
        1111001
        0.3
        YY275
        1525734
        0.3
        YY276
        1327729
        0.3
        YY277
        340827
        0.1
        YY278
        1543340
        0.3
        YY279
        3288057
        0.7
        YY280
        1170052
        0.3
        YY281
        1720604
        0.4
        YY282
        2010747
        0.5
        YY283
        992547
        0.2
        YY284
        1075375
        0.2
        YY285
        5868
        0.0
        YY286
        4749
        0.0
        YY287
        2077607
        0.5
        YY288
        808121
        0.2
        YY289
        2020196
        0.5
        YY290
        1808728
        0.4
        YY291
        1449355
        0.3
        YY292
        1555885
        0.4
        YY293
        3373407
        0.8
        YY294
        2681597
        0.6

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF Reads% Undetermined% PhiX Aligned
        4.0
        474100696
        440993547
        7.7
        4.2

        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

        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

        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

        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

        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

        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

        All samples have sequences of a single length (76bp).

        Sequence Duplication Levels

        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

        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

        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.

        loading..

        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.

        loading..