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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 2018-11-14, 16:11 based on data in: /beegfs/mk5636/logs/html/000000000-BMH75/1

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

        General Statistics

        Showing 6/6 rows and 4/5 columns.
        Sample Name% Dups% GCLengthM Seqs
        000000000-BMH75_l01_n01_GAP1_CNV_id_barcode_d701
        84.3%
        41%
        101
        10.2
        000000000-BMH75_l01_n01_GAP1_CNV_id_barcode_d702
        83.2%
        40%
        101
        9.3
        000000000-BMH75_l01_n01_undetermined
        90.9%
        44%
        101
        2.3
        000000000-BMH75_l01_n02_GAP1_CNV_id_barcode_d701
        83.1%
        48%
        51
        10.2
        000000000-BMH75_l01_n02_GAP1_CNV_id_barcode_d702
        82.2%
        48%
        51
        9.3
        000000000-BMH75_l01_n02_undetermined
        88.1%
        44%
        51
        2.3

        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 3/3 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        2,269,883
        10.4
        GAP1_CNV_id_barcode_d701
        10,206,525
        46.8
        GAP1_CNV_id_barcode_d702
        9,333,121
        42.8

        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
        23,251,484
        21,809,529
        10.4
        14.5

        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
        6
        0
        0

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

        Created with Highcharts 5.0.6Position (bp)Phred ScoreChart context menuExport PlotMean Quality Scores1020304050607080901000510152025303540Created with MultiQC

        Per Sequence Quality Scores
        6
        0
        0

        The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

        Created with Highcharts 5.0.6Mean Sequence Quality (Phred Score)CountChart context menuExport PlotPer Sequence Quality Scores0510152025303501M2M3M4M5M6M7M8MCreated with MultiQC

        Per Base Sequence Content
        2
        0
        4

        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
        4
        2
        0

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

        Created with Highcharts 5.0.6%GCCountChart context menuExport PlotPer Sequence GC Content010203040506070809010002468101214Created with MultiQC

        Per Base N Content
        6
        0
        0

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

        Created with Highcharts 5.0.6Position in Read (bp)Percentage N-CountChart context menuExport PlotPer Base N Content01020304050607080901000123456Created with MultiQC

        Sequence Length Distribution
        6
        0
        0

        All samples have sequences of a single length (51bp , 101bp). See the General Statistics Table.

        Sequence Duplication Levels
        0
        0
        6

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

        Created with Highcharts 5.0.6Sequence Duplication Level% of LibraryChart context menuExport PlotSequence Duplication Levels123456789>10>50>100>500>1k>5k>10k+020406080100Created with MultiQC

        Overrepresented sequences
        6
        0
        0

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

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

        Adapter Content
        6
        0
        0

        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.

        Created with Highcharts 5.0.6Position% of SequencesChart context menuExport PlotAdapter Content10203040506070800123456Created with MultiQC

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

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