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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.0.dev0

        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 2018-10-25, 08:10 based on data in: /beegfs/mk5636/logs/html/HMNG2BCX2/1


        General Statistics

        Showing 122/122 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HMNG2BCX2_l01_n01_FluA_BHE1005
        95.1%
        43%
        2.9
        HMNG2BCX2_l01_n01_FluA_BHE1015
        94.3%
        43%
        2.2
        HMNG2BCX2_l01_n01_FluA_BHE1039
        92.3%
        44%
        2.9
        HMNG2BCX2_l01_n01_FluA_BHE1163
        85.9%
        49%
        3.4
        HMNG2BCX2_l01_n01_FluA_BHE1171
        82.3%
        47%
        3.2
        HMNG2BCX2_l01_n01_FluA_BHE1201
        79.3%
        46%
        3.0
        HMNG2BCX2_l01_n01_FluA_BHE1244
        84.0%
        49%
        3.0
        HMNG2BCX2_l01_n01_FluA_BHE1256
        86.7%
        49%
        3.2
        HMNG2BCX2_l01_n01_FluA_BHHS1178
        80.8%
        45%
        3.0
        HMNG2BCX2_l01_n01_FluA_BHHS1270
        84.9%
        49%
        3.0
        HMNG2BCX2_l01_n01_FluA_CM530203
        80.0%
        48%
        2.9
        HMNG2BCX2_l01_n01_FluA_CM550272
        68.9%
        46%
        2.0
        HMNG2BCX2_l01_n01_FluA_CM550273
        90.6%
        44%
        2.8
        HMNG2BCX2_l01_n01_FluA_CM550273_V2
        91.0%
        44%
        3.2
        HMNG2BCX2_l01_n01_FluA_CM550298
        94.8%
        43%
        3.5
        HMNG2BCX2_l01_n01_FluA_CM550311
        76.8%
        48%
        2.2
        HMNG2BCX2_l01_n01_FluA_CM550391
        88.5%
        44%
        2.9
        HMNG2BCX2_l01_n01_FluA_CM550443
        92.1%
        46%
        3.2
        HMNG2BCX2_l01_n01_FluA_CM551087
        86.7%
        46%
        4.0
        HMNG2BCX2_l01_n01_FluA_CM551135
        92.0%
        47%
        2.3
        HMNG2BCX2_l01_n01_FluA_CM551457
        95.3%
        55%
        2.8
        HMNG2BCX2_l01_n01_FluA_CM551950
        93.6%
        44%
        3.8
        HMNG2BCX2_l01_n01_FluA_CM551959
        95.6%
        52%
        2.8
        HMNG2BCX2_l01_n01_FluA_CM551963
        85.1%
        46%
        2.7
        HMNG2BCX2_l01_n01_FluA_CM552490
        95.3%
        44%
        2.7
        HMNG2BCX2_l01_n01_FluA_CM552492
        90.0%
        46%
        3.3
        HMNG2BCX2_l01_n01_FluA_CM552549
        93.9%
        43%
        3.1
        HMNG2BCX2_l01_n01_FluA_CM552594
        81.2%
        49%
        3.1
        HMNG2BCX2_l01_n01_FluA_CM552654
        85.8%
        46%
        3.4
        HMNG2BCX2_l01_n01_FluA_CM552690
        80.1%
        47%
        3.0
        HMNG2BCX2_l01_n01_FluA_CM552838
        79.7%
        48%
        3.0
        HMNG2BCX2_l01_n01_FluA_CM552916
        84.9%
        47%
        1.9
        HMNG2BCX2_l01_n01_FluA_CM553231
        90.3%
        44%
        3.1
        HMNG2BCX2_l01_n01_FluA_CM553276
        92.9%
        44%
        3.0
        HMNG2BCX2_l01_n01_FluA_CM553299
        96.9%
        53%
        3.5
        HMNG2BCX2_l01_n01_FluA_CM553323
        92.4%
        44%
        2.8
        HMNG2BCX2_l01_n01_FluA_CM553438
        85.2%
        46%
        2.6
        HMNG2BCX2_l01_n01_FluA_CM553445
        78.6%
        47%
        3.5
        HMNG2BCX2_l01_n01_FluA_CM553698
        84.5%
        46%
        3.3
        HMNG2BCX2_l01_n01_FluA_CM553980
        94.7%
        43%
        2.9
        HMNG2BCX2_l01_n01_FluA_CM553981
        88.2%
        49%
        4.6
        HMNG2BCX2_l01_n01_FluA_CM554007
        89.6%
        45%
        3.1
        HMNG2BCX2_l01_n01_FluA_CM554145
        77.4%
        47%
        2.9
        HMNG2BCX2_l01_n01_FluA_MK1069
        95.8%
        46%
        2.8
        HMNG2BCX2_l01_n01_FluB_102
        85.5%
        42%
        3.3
        HMNG2BCX2_l01_n01_FluB_109
        75.6%
        43%
        3.1
        HMNG2BCX2_l01_n01_FluB_110
        81.2%
        40%
        1.9
        HMNG2BCX2_l01_n01_FluB_46
        84.5%
        41%
        1.7
        HMNG2BCX2_l01_n01_FluB_50
        81.2%
        44%
        3.1
        HMNG2BCX2_l01_n01_FluB_53
        78.5%
        43%
        2.4
        HMNG2BCX2_l01_n01_FluB_55
        93.6%
        40%
        2.7
        HMNG2BCX2_l01_n01_FluB_68
        80.8%
        43%
        3.3
        HMNG2BCX2_l01_n01_FluB_75
        81.3%
        44%
        2.9
        HMNG2BCX2_l01_n01_FluB_76
        93.3%
        39%
        3.3
        HMNG2BCX2_l01_n01_FluB_85
        79.6%
        44%
        2.7
        HMNG2BCX2_l01_n01_FluB_95
        76.1%
        43%
        3.0
        HMNG2BCX2_l01_n01_FluB_99
        80.0%
        42%
        2.9
        HMNG2BCX2_l01_n01_P1_POSCONT_HA_PB2
        94.8%
        46%
        2.3
        HMNG2BCX2_l01_n01_SMART_NEGCONTROL_P1
        5.6%
        44%
        0.0
        HMNG2BCX2_l01_n01_SMART_P1_Demulti
        0.0%
        45%
        0.0
        HMNG2BCX2_l01_n01_undetermined
        86.7%
        45%
        11.2
        HMNG2BCX2_l01_n02_FluA_BHE1005
        93.1%
        43%
        2.9
        HMNG2BCX2_l01_n02_FluA_BHE1015
        91.8%
        43%
        2.2
        HMNG2BCX2_l01_n02_FluA_BHE1039
        91.2%
        44%
        2.9
        HMNG2BCX2_l01_n02_FluA_BHE1163
        83.9%
        49%
        3.4
        HMNG2BCX2_l01_n02_FluA_BHE1171
        80.9%
        47%
        3.2
        HMNG2BCX2_l01_n02_FluA_BHE1201
        78.0%
        46%
        3.0
        HMNG2BCX2_l01_n02_FluA_BHE1244
        81.8%
        49%
        3.0
        HMNG2BCX2_l01_n02_FluA_BHE1256
        85.5%
        49%
        3.2
        HMNG2BCX2_l01_n02_FluA_BHHS1178
        79.3%
        45%
        3.0
        HMNG2BCX2_l01_n02_FluA_BHHS1270
        83.5%
        49%
        3.0
        HMNG2BCX2_l01_n02_FluA_CM530203
        77.8%
        48%
        2.9
        HMNG2BCX2_l01_n02_FluA_CM550272
        67.3%
        46%
        2.0
        HMNG2BCX2_l01_n02_FluA_CM550273
        88.4%
        44%
        2.8
        HMNG2BCX2_l01_n02_FluA_CM550273_V2
        88.6%
        44%
        3.2
        HMNG2BCX2_l01_n02_FluA_CM550298
        92.1%
        43%
        3.5
        HMNG2BCX2_l01_n02_FluA_CM550311
        75.1%
        48%
        2.2
        HMNG2BCX2_l01_n02_FluA_CM550391
        87.1%
        44%
        2.9
        HMNG2BCX2_l01_n02_FluA_CM550443
        91.3%
        46%
        3.2
        HMNG2BCX2_l01_n02_FluA_CM551087
        85.1%
        46%
        4.0
        HMNG2BCX2_l01_n02_FluA_CM551135
        89.5%
        47%
        2.3
        HMNG2BCX2_l01_n02_FluA_CM551457
        93.8%
        55%
        2.8
        HMNG2BCX2_l01_n02_FluA_CM551950
        92.4%
        43%
        3.8
        HMNG2BCX2_l01_n02_FluA_CM551959
        94.3%
        52%
        2.8
        HMNG2BCX2_l01_n02_FluA_CM551963
        83.5%
        46%
        2.7
        HMNG2BCX2_l01_n02_FluA_CM552490
        92.9%
        44%
        2.7
        HMNG2BCX2_l01_n02_FluA_CM552492
        89.1%
        46%
        3.3
        HMNG2BCX2_l01_n02_FluA_CM552549
        91.9%
        43%
        3.1
        HMNG2BCX2_l01_n02_FluA_CM552594
        79.7%
        49%
        3.1
        HMNG2BCX2_l01_n02_FluA_CM552654
        84.6%
        46%
        3.4
        HMNG2BCX2_l01_n02_FluA_CM552690
        78.8%
        47%
        3.0
        HMNG2BCX2_l01_n02_FluA_CM552838
        77.7%
        48%
        3.0
        HMNG2BCX2_l01_n02_FluA_CM552916
        82.4%
        47%
        1.9
        HMNG2BCX2_l01_n02_FluA_CM553231
        89.0%
        44%
        3.1
        HMNG2BCX2_l01_n02_FluA_CM553276
        91.4%
        43%
        3.0
        HMNG2BCX2_l01_n02_FluA_CM553299
        96.5%
        53%
        3.5
        HMNG2BCX2_l01_n02_FluA_CM553323
        91.1%
        44%
        2.8
        HMNG2BCX2_l01_n02_FluA_CM553438
        84.2%
        46%
        2.6
        HMNG2BCX2_l01_n02_FluA_CM553445
        77.6%
        47%
        3.5
        HMNG2BCX2_l01_n02_FluA_CM553698
        83.2%
        46%
        3.3
        HMNG2BCX2_l01_n02_FluA_CM553980
        93.0%
        43%
        2.9
        HMNG2BCX2_l01_n02_FluA_CM553981
        86.7%
        49%
        4.6
        HMNG2BCX2_l01_n02_FluA_CM554007
        88.4%
        45%
        3.1
        HMNG2BCX2_l01_n02_FluA_CM554145
        75.8%
        47%
        2.9
        HMNG2BCX2_l01_n02_FluA_MK1069
        93.9%
        46%
        2.8
        HMNG2BCX2_l01_n02_FluB_102
        84.4%
        42%
        3.3
        HMNG2BCX2_l01_n02_FluB_109
        74.4%
        43%
        3.1
        HMNG2BCX2_l01_n02_FluB_110
        80.3%
        40%
        1.9
        HMNG2BCX2_l01_n02_FluB_46
        82.4%
        41%
        1.7
        HMNG2BCX2_l01_n02_FluB_50
        78.1%
        44%
        3.1
        HMNG2BCX2_l01_n02_FluB_53
        76.5%
        43%
        2.4
        HMNG2BCX2_l01_n02_FluB_55
        91.5%
        40%
        2.7
        HMNG2BCX2_l01_n02_FluB_68
        79.0%
        43%
        3.3
        HMNG2BCX2_l01_n02_FluB_75
        80.1%
        44%
        2.9
        HMNG2BCX2_l01_n02_FluB_76
        92.1%
        39%
        3.3
        HMNG2BCX2_l01_n02_FluB_85
        78.3%
        44%
        2.7
        HMNG2BCX2_l01_n02_FluB_95
        75.2%
        43%
        3.0
        HMNG2BCX2_l01_n02_FluB_99
        79.0%
        42%
        2.9
        HMNG2BCX2_l01_n02_P1_POSCONT_HA_PB2
        91.5%
        46%
        2.3
        HMNG2BCX2_l01_n02_SMART_NEGCONTROL_P1
        3.6%
        43%
        0.0
        HMNG2BCX2_l01_n02_SMART_P1_Demulti
        0.0%
        46%
        0.0
        HMNG2BCX2_l01_n02_undetermined
        85.3%
        45%
        11.2

        Lane 1 Demultiplexing Report

        Lane 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 61/61 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        11,209,140
        6.1
        FluA_CM550298
        3,482,444
        1.9
        FluA_CM552838
        2,983,102
        1.6
        FluA_CM530203
        2,862,737
        1.6
        FluA_BHE1005
        2,893,105
        1.6
        FluA_BHE1244
        2,978,109
        1.6
        FluA_CM550273
        2,834,447
        1.6
        FluA_BHE1015
        2,167,286
        1.2
        FluA_CM550443
        3,185,242
        1.7
        FluA_CM550272
        2,004,894
        1.1
        FluA_BHHS1178
        2,964,214
        1.6
        FluA_BHE1163
        3,388,239
        1.9
        FluA_CM552549
        3,097,902
        1.7
        FluA_CM553323
        2,815,375
        1.5
        FluA_CM551963
        2,688,440
        1.5
        FluA_CM553980
        2,896,083
        1.6
        FluA_BHHS1270
        3,035,237
        1.7
        FluA_CM552492
        3,302,388
        1.8
        FluA_BHE1256
        3,194,951
        1.8
        FluA_BHE1039
        2,937,735
        1.6
        FluA_BHE1201
        3,003,903
        1.6
        FluA_CM553438
        2,559,733
        1.4
        FluA_CM554007
        3,111,344
        1.7
        FluA_CM551087
        4,020,545
        2.2
        FluA_CM553981
        4,617,774
        2.5
        FluA_CM553276
        2,973,631
        1.6
        FluA_CM550391
        2,926,704
        1.6
        FluA_CM554145
        2,856,811
        1.6
        FluA_CM553231
        3,110,615
        1.7
        FluA_CM551950
        3,779,501
        2.1
        FluA_CM552690
        3,015,528
        1.7
        FluA_CM552594
        3,097,479
        1.7
        FluA_CM553445
        3,528,127
        1.9
        FluA_CM550311
        2,226,100
        1.2
        FluA_CM553698
        3,348,703
        1.8
        FluA_CM552654
        3,415,479
        1.9
        FluA_BHE1171
        3,223,452
        1.8
        FluA_CM550273_V2
        3,198,732
        1.8
        FluA_CM551457
        2,786,150
        1.5
        FluA_CM552490
        2,708,265
        1.5
        FluA_CM552916
        1,946,080
        1.1
        FluA_CM553299
        3,522,156
        1.9
        FluA_CM551959
        2,811,760
        1.5
        FluA_CM551135
        2,323,858
        1.3
        FluA_MK1069
        2,777,508
        1.5
        FluB_46
        1,686,410
        0.9
        FluB_50
        3,069,469
        1.7
        FluB_53
        2,399,528
        1.3
        FluB_55
        2,652,115
        1.5
        FluB_68
        3,259,415
        1.8
        FluB_75
        2,874,985
        1.6
        FluB_76
        3,287,675
        1.8
        FluB_85
        2,741,782
        1.5
        FluB_95
        2,995,696
        1.6
        FluB_102
        3,265,941
        1.8
        FluB_99
        2,936,876
        1.6
        FluB_109
        3,088,542
        1.7
        FluB_110
        1,932,895
        1.1
        SMART_NEGCONTROL_P1
        1,819
        0.0
        P1_POSCONT_HA_PB2
        2,284,053
        1.3
        SMART_P1_Demulti
        27.0
        0.0

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 4/4 columns.
        Sample NameTotal # of Single-End ReadsTotal # PF Reads% Undetermined % PhiX Aligned
        1.0
        191,691,632
        182,288,236
        6.2
        3.4

        FastQC

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

        Sequence Quality Histograms

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

        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. See the FastQC help.

        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. See the FastQC help.

        Click a heatmap 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. See the FastQC help.

        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. See the FastQC help.

        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 (151bp).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence. See the FastQC help.

        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. See the FastQC help for further information.

        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. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

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