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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, 10:10 based on data in: /beegfs/mk5636/logs/html/HMNG2BCX2/2


        General Statistics

        Showing 124/124 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HMNG2BCX2_l02_n01_FluB_1
        92.9%
        41%
        3.4
        HMNG2BCX2_l02_n01_FluB_10
        85.4%
        44%
        4.2
        HMNG2BCX2_l02_n01_FluB_100
        93.4%
        41%
        2.9
        HMNG2BCX2_l02_n01_FluB_104
        6.3%
        42%
        0.0
        HMNG2BCX2_l02_n01_FluB_105
        92.6%
        41%
        2.8
        HMNG2BCX2_l02_n01_FluB_106
        82.2%
        43%
        1.9
        HMNG2BCX2_l02_n01_FluB_108
        82.1%
        43%
        1.1
        HMNG2BCX2_l02_n01_FluB_11
        93.7%
        40%
        2.7
        HMNG2BCX2_l02_n01_FluB_112
        85.2%
        42%
        0.8
        HMNG2BCX2_l02_n01_FluB_117
        94.1%
        41%
        2.6
        HMNG2BCX2_l02_n01_FluB_12
        91.6%
        40%
        3.5
        HMNG2BCX2_l02_n01_FluB_121
        82.9%
        42%
        2.3
        HMNG2BCX2_l02_n01_FluB_13
        74.2%
        44%
        3.5
        HMNG2BCX2_l02_n01_FluB_15
        92.9%
        40%
        1.6
        HMNG2BCX2_l02_n01_FluB_16
        89.2%
        41%
        3.0
        HMNG2BCX2_l02_n01_FluB_22
        93.9%
        41%
        21.4
        HMNG2BCX2_l02_n01_FluB_23
        78.5%
        43%
        2.2
        HMNG2BCX2_l02_n01_FluB_24
        72.6%
        46%
        1.1
        HMNG2BCX2_l02_n01_FluB_26
        88.9%
        41%
        3.4
        HMNG2BCX2_l02_n01_FluB_28
        91.8%
        40%
        1.0
        HMNG2BCX2_l02_n01_FluB_31
        82.1%
        42%
        3.5
        HMNG2BCX2_l02_n01_FluB_32
        94.9%
        39%
        3.9
        HMNG2BCX2_l02_n01_FluB_35
        78.1%
        44%
        2.4
        HMNG2BCX2_l02_n01_FluB_37
        86.8%
        42%
        1.8
        HMNG2BCX2_l02_n01_FluB_38
        93.6%
        41%
        3.6
        HMNG2BCX2_l02_n01_FluB_39
        79.4%
        45%
        2.1
        HMNG2BCX2_l02_n01_FluB_4
        86.2%
        42%
        2.5
        HMNG2BCX2_l02_n01_FluB_40
        94.0%
        41%
        2.9
        HMNG2BCX2_l02_n01_FluB_42
        94.6%
        41%
        2.7
        HMNG2BCX2_l02_n01_FluB_47
        95.1%
        41%
        3.1
        HMNG2BCX2_l02_n01_FluB_48
        88.7%
        41%
        2.9
        HMNG2BCX2_l02_n01_FluB_49
        94.9%
        41%
        3.9
        HMNG2BCX2_l02_n01_FluB_5
        91.1%
        42%
        2.9
        HMNG2BCX2_l02_n01_FluB_51
        92.8%
        40%
        2.8
        HMNG2BCX2_l02_n01_FluB_56
        77.8%
        43%
        2.8
        HMNG2BCX2_l02_n01_FluB_57
        79.6%
        43%
        1.5
        HMNG2BCX2_l02_n01_FluB_6
        84.1%
        46%
        3.6
        HMNG2BCX2_l02_n01_FluB_61
        82.7%
        41%
        1.4
        HMNG2BCX2_l02_n01_FluB_63
        77.1%
        42%
        2.9
        HMNG2BCX2_l02_n01_FluB_64
        93.7%
        41%
        2.5
        HMNG2BCX2_l02_n01_FluB_65
        79.3%
        43%
        2.7
        HMNG2BCX2_l02_n01_FluB_66
        95.4%
        40%
        3.9
        HMNG2BCX2_l02_n01_FluB_67
        80.6%
        43%
        2.7
        HMNG2BCX2_l02_n01_FluB_73
        93.5%
        41%
        2.5
        HMNG2BCX2_l02_n01_FluB_77
        94.8%
        40%
        2.8
        HMNG2BCX2_l02_n01_FluB_78
        75.8%
        44%
        2.8
        HMNG2BCX2_l02_n01_FluB_79
        93.9%
        41%
        2.8
        HMNG2BCX2_l02_n01_FluB_8
        93.2%
        48%
        1.9
        HMNG2BCX2_l02_n01_FluB_80
        85.5%
        42%
        2.5
        HMNG2BCX2_l02_n01_FluB_81
        91.7%
        41%
        2.6
        HMNG2BCX2_l02_n01_FluB_84
        85.5%
        42%
        1.7
        HMNG2BCX2_l02_n01_FluB_86
        87.1%
        43%
        3.0
        HMNG2BCX2_l02_n01_FluB_88
        93.0%
        41%
        1.8
        HMNG2BCX2_l02_n01_FluB_89
        84.7%
        42%
        3.0
        HMNG2BCX2_l02_n01_FluB_9
        71.4%
        50%
        2.6
        HMNG2BCX2_l02_n01_FluB_91
        94.9%
        40%
        3.0
        HMNG2BCX2_l02_n01_FluB_92
        90.6%
        41%
        2.8
        HMNG2BCX2_l02_n01_FluB_94
        93.4%
        41%
        3.1
        HMNG2BCX2_l02_n01_P2_POSCONT_HA_PB2
        94.1%
        45%
        2.5
        HMNG2BCX2_l02_n01_SMART_NEGCONTROL_P2
        5.8%
        43%
        0.0
        HMNG2BCX2_l02_n01_SMART_P2_Demulti
        0.0%
        49%
        0.0
        HMNG2BCX2_l02_n01_undetermined
        87.4%
        43%
        10.5
        HMNG2BCX2_l02_n02_FluB_1
        91.0%
        41%
        3.4
        HMNG2BCX2_l02_n02_FluB_10
        82.5%
        45%
        4.2
        HMNG2BCX2_l02_n02_FluB_100
        91.1%
        41%
        2.9
        HMNG2BCX2_l02_n02_FluB_104
        6.0%
        42%
        0.0
        HMNG2BCX2_l02_n02_FluB_105
        91.1%
        41%
        2.8
        HMNG2BCX2_l02_n02_FluB_106
        80.9%
        43%
        1.9
        HMNG2BCX2_l02_n02_FluB_108
        80.2%
        43%
        1.1
        HMNG2BCX2_l02_n02_FluB_11
        91.5%
        40%
        2.7
        HMNG2BCX2_l02_n02_FluB_112
        83.1%
        41%
        0.8
        HMNG2BCX2_l02_n02_FluB_117
        92.1%
        41%
        2.6
        HMNG2BCX2_l02_n02_FluB_12
        90.6%
        40%
        3.5
        HMNG2BCX2_l02_n02_FluB_121
        81.2%
        42%
        2.3
        HMNG2BCX2_l02_n02_FluB_13
        72.5%
        44%
        3.5
        HMNG2BCX2_l02_n02_FluB_15
        90.9%
        41%
        1.6
        HMNG2BCX2_l02_n02_FluB_16
        87.6%
        41%
        3.0
        HMNG2BCX2_l02_n02_FluB_22
        93.0%
        41%
        21.4
        HMNG2BCX2_l02_n02_FluB_23
        77.0%
        43%
        2.2
        HMNG2BCX2_l02_n02_FluB_24
        72.2%
        46%
        1.1
        HMNG2BCX2_l02_n02_FluB_26
        87.4%
        41%
        3.4
        HMNG2BCX2_l02_n02_FluB_28
        89.0%
        40%
        1.0
        HMNG2BCX2_l02_n02_FluB_31
        80.3%
        42%
        3.5
        HMNG2BCX2_l02_n02_FluB_32
        93.4%
        39%
        3.9
        HMNG2BCX2_l02_n02_FluB_35
        76.1%
        44%
        2.4
        HMNG2BCX2_l02_n02_FluB_37
        85.5%
        42%
        1.8
        HMNG2BCX2_l02_n02_FluB_38
        91.4%
        41%
        3.6
        HMNG2BCX2_l02_n02_FluB_39
        77.5%
        45%
        2.1
        HMNG2BCX2_l02_n02_FluB_4
        83.7%
        42%
        2.5
        HMNG2BCX2_l02_n02_FluB_40
        92.3%
        41%
        2.9
        HMNG2BCX2_l02_n02_FluB_42
        93.4%
        41%
        2.7
        HMNG2BCX2_l02_n02_FluB_47
        93.3%
        41%
        3.1
        HMNG2BCX2_l02_n02_FluB_48
        87.4%
        41%
        2.9
        HMNG2BCX2_l02_n02_FluB_49
        93.3%
        41%
        3.9
        HMNG2BCX2_l02_n02_FluB_5
        89.9%
        42%
        2.9
        HMNG2BCX2_l02_n02_FluB_51
        91.4%
        40%
        2.8
        HMNG2BCX2_l02_n02_FluB_56
        76.1%
        43%
        2.8
        HMNG2BCX2_l02_n02_FluB_57
        77.8%
        43%
        1.5
        HMNG2BCX2_l02_n02_FluB_6
        80.8%
        46%
        3.6
        HMNG2BCX2_l02_n02_FluB_61
        81.1%
        41%
        1.4
        HMNG2BCX2_l02_n02_FluB_63
        75.3%
        42%
        2.9
        HMNG2BCX2_l02_n02_FluB_64
        92.1%
        41%
        2.5
        HMNG2BCX2_l02_n02_FluB_65
        77.5%
        43%
        2.7
        HMNG2BCX2_l02_n02_FluB_66
        93.3%
        41%
        3.9
        HMNG2BCX2_l02_n02_FluB_67
        79.1%
        43%
        2.7
        HMNG2BCX2_l02_n02_FluB_73
        91.5%
        41%
        2.5
        HMNG2BCX2_l02_n02_FluB_77
        93.6%
        40%
        2.8
        HMNG2BCX2_l02_n02_FluB_78
        74.3%
        44%
        2.8
        HMNG2BCX2_l02_n02_FluB_79
        92.4%
        41%
        2.8
        HMNG2BCX2_l02_n02_FluB_8
        92.2%
        49%
        1.9
        HMNG2BCX2_l02_n02_FluB_80
        83.9%
        42%
        2.5
        HMNG2BCX2_l02_n02_FluB_81
        89.9%
        41%
        2.6
        HMNG2BCX2_l02_n02_FluB_84
        83.7%
        42%
        1.7
        HMNG2BCX2_l02_n02_FluB_86
        85.0%
        43%
        3.0
        HMNG2BCX2_l02_n02_FluB_88
        91.4%
        41%
        1.8
        HMNG2BCX2_l02_n02_FluB_89
        82.9%
        42%
        3.0
        HMNG2BCX2_l02_n02_FluB_9
        63.7%
        51%
        2.6
        HMNG2BCX2_l02_n02_FluB_91
        93.3%
        40%
        3.0
        HMNG2BCX2_l02_n02_FluB_92
        89.1%
        41%
        2.8
        HMNG2BCX2_l02_n02_FluB_94
        91.7%
        41%
        3.1
        HMNG2BCX2_l02_n02_P2_POSCONT_HA_PB2
        91.6%
        46%
        2.5
        HMNG2BCX2_l02_n02_SMART_NEGCONTROL_P2
        2.9%
        43%
        0.0
        HMNG2BCX2_l02_n02_SMART_P2_Demulti
        0.0%
        46%
        0.0
        HMNG2BCX2_l02_n02_undetermined
        86.0%
        43%
        10.5

        Lane 2 Demultiplexing Report

        Lane 2 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 62/62 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        10,505,371
        5.8
        FluB_1
        3,444,657
        1.9
        FluB_9
        2,612,154
        1.4
        FluB_10
        4,202,061
        2.3
        FluB_11
        2,741,515
        1.5
        FluB_13
        3,487,770
        1.9
        FluB_15
        1,639,752
        0.9
        FluB_16
        2,951,776
        1.6
        FluB_26
        3,400,490
        1.9
        FluB_28
        1,037,876
        0.6
        FluB_31
        3,544,792
        1.9
        FluB_32
        3,923,464
        2.2
        FluB_38
        3,584,818
        2.0
        FluB_40
        2,912,466
        1.6
        FluB_42
        2,718,546
        1.5
        FluB_47
        3,070,798
        1.7
        FluB_48
        2,874,432
        1.6
        FluB_49
        3,867,272
        2.1
        FluB_51
        2,799,344
        1.5
        FluB_56
        2,827,260
        1.6
        FluB_57
        1,547,319
        0.8
        FluB_61
        1,365,739
        0.7
        FluB_63
        2,873,906
        1.6
        FluB_64
        2,454,012
        1.3
        FluB_65
        2,747,799
        1.5
        FluB_66
        3,949,708
        2.2
        FluB_67
        2,684,151
        1.5
        FluB_73
        2,520,374
        1.4
        FluB_77
        2,817,153
        1.5
        FluB_78
        2,769,569
        1.5
        FluB_79
        2,778,008
        1.5
        FluB_80
        2,533,691
        1.4
        FluB_81
        2,592,111
        1.4
        FluB_84
        1,684,824
        0.9
        FluB_86
        2,992,834
        1.6
        FluB_88
        1,831,612
        1.0
        FluB_89
        3,017,771
        1.7
        FluB_91
        3,008,805
        1.6
        FluB_92
        2,751,309
        1.5
        FluB_94
        3,072,586
        1.7
        FluB_100
        2,918,933
        1.6
        FluB_104
        2,947
        0.0
        FluB_105
        2,774,142
        1.5
        FluB_106
        1,904,188
        1.0
        FluB_108
        1,072,616
        0.6
        FluB_112
        760,765
        0.4
        FluB_117
        2,641,396
        1.4
        FluB_121
        2,261,220
        1.2
        FluB_4
        2,511,830
        1.4
        FluB_5
        2,939,735
        1.6
        FluB_6
        3,554,922
        1.9
        FluB_8
        1,904,967
        1.0
        FluB_12
        3,476,451
        1.9
        FluB_22
        21,356,242
        11.7
        FluB_23
        2,219,890
        1.2
        FluB_24
        1,071,683
        0.6
        FluB_35
        2,402,593
        1.3
        FluB_37
        1,777,403
        1.0
        FluB_39
        2,138,333
        1.2
        SMART_NEGCONTROL_P2
        2,189
        0.0
        P2_POSCONT_HA_PB2
        2,523,231
        1.4
        SMART_P2_Demulti
        2.0
        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
        2.0
        191,691,568
        182,355,573
        5.8
        3.1

        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).