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

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

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

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        About MultiQC

        This report was generated using MultiQC, version 1.0.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 2019-04-17, 18:04 based on data in: /beegfs/mk5636/logs/html/CCWEBACXX/4

        General Statistics

        Showing 20/20 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        CCWEBACXX_l04_n01_D2W1
        70.4%
        52%
        24.3
        CCWEBACXX_l04_n01_D2W2
        72.1%
        52%
        31.4
        CCWEBACXX_l04_n01_D2W3
        70.6%
        52%
        25.9
        CCWEBACXX_l04_n01_D2W4
        70.5%
        51%
        27.9
        CCWEBACXX_l04_n01_D2W5
        71.5%
        52%
        29.8
        CCWEBACXX_l04_n01_D2W6
        65.3%
        52%
        16.9
        CCWEBACXX_l04_n01_D2W7
        68.5%
        50%
        30.3
        CCWEBACXX_l04_n01_D2W8
        68.9%
        52%
        26.9
        CCWEBACXX_l04_n01_D2W9
        70.9%
        52%
        27.3
        CCWEBACXX_l04_n01_undetermined
        93.3%
        45%
        16.3
        CCWEBACXX_l04_n02_D2W1
        69.3%
        54%
        24.3
        CCWEBACXX_l04_n02_D2W2
        71.0%
        54%
        31.4
        CCWEBACXX_l04_n02_D2W3
        69.5%
        54%
        25.9
        CCWEBACXX_l04_n02_D2W4
        70.3%
        54%
        27.9
        CCWEBACXX_l04_n02_D2W5
        71.1%
        54%
        29.8
        CCWEBACXX_l04_n02_D2W6
        64.8%
        54%
        16.9
        CCWEBACXX_l04_n02_D2W7
        68.5%
        53%
        30.3
        CCWEBACXX_l04_n02_D2W8
        68.6%
        53%
        26.9
        CCWEBACXX_l04_n02_D2W9
        70.1%
        54%
        27.3
        CCWEBACXX_l04_n02_undetermined
        92.1%
        45%
        16.3

        Barcodes of Undetermined Reads

        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.
        Sample NameCountFrequency (%)
        TAAGTT
        170772.0
        1.1
        TAAGGT
        136835.0
        0.8
        TAACGT
        110528.0
        0.7
        TAACTT
        105144.0
        0.6
        TAAATT
        95558.0
        0.6
        CAAGTT
        86906.0
        0.5
        TAAAGT
        86086.0
        0.5
        TAAGTG
        77906.0
        0.5
        TCAGTT
        76816.0
        0.5
        TAAGGG
        75993.0
        0.5
        TACCGT
        73862.0
        0.5
        CAAGGT
        73681.0
        0.5
        TAAAGG
        67356.0
        0.4
        TACCTT
        65132.0
        0.4
        CCCCCC
        64740.0
        0.4
        CAACGT
        64458.0
        0.4
        CCCCGC
        64073.0
        0.4
        CAAATT
        63985.0
        0.4
        TAAATG
        63005.0
        0.4
        TACGTT
        62146.0
        0.4

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 4/4 columns.
        Sample NameTotal # of Single-End ReadsTotal # PF Reads% Undetermined % PhiX Aligned
        4.0
        272,785,024
        257,079,138
        6.3
        6.9

        Lane 4 Demultiplexing Report

        Lane 4 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 10/10 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        16,336,776
        6.4
        D2W1
        24,269,940
        9.4
        D2W2
        31,377,657
        12.2
        D2W3
        25,922,472
        10.1
        D2W4
        27,920,638
        10.9
        D2W5
        29,811,680
        11.6
        D2W6
        16,949,537
        6.6
        D2W7
        30,346,387
        11.8
        D2W8
        26,859,096
        10.4
        D2W9
        27,284,955
        10.6

        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.

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        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.

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        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.

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        Per Base N Content

        The percentage of base calls at each position for which an N was called. See the FastQC help.

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        Sequence Length Distribution

        All samples have sequences of a single length (51bp).

        Sequence Duplication Levels

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

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        Overrepresented sequences

        The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

        20 samples had less than 1% of reads made up of overrepresented sequences

        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.

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        MultiQC v1.0.dev0 - Written by Phil Ewels, available on GitHub.

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