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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 2018-07-19, 19:07 based on data in: /beegfs/mk5636/logs/html/000000000-BDGGG/1

        General Statistics

        Showing 24/24 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        000000000-BDGGG_l01_Trinidad1_1
        12.5%
        46%
        2.6
        000000000-BDGGG_l01_Trinidad1_2
        12.8%
        46%
        2.6
        000000000-BDGGG_l01_Trinidad4_1
        10.1%
        46%
        2.4
        000000000-BDGGG_l01_Trinidad4_2
        9.8%
        46%
        2.4
        000000000-BDGGG_l01_Trinidad5_1
        11.0%
        46%
        2.3
        000000000-BDGGG_l01_Trinidad5_2
        10.0%
        47%
        2.3
        000000000-BDGGG_l01_Trinidad8_1
        7.1%
        46%
        1.8
        000000000-BDGGG_l01_Trinidad8_2
        7.8%
        47%
        1.8
        000000000-BDGGG_l01_Trinidad9_1
        11.3%
        47%
        2.6
        000000000-BDGGG_l01_Trinidad9_2
        11.1%
        47%
        2.6
        000000000-BDGGG_l01_n01_Trinidad1
        13.0%
        46%
        2.3
        000000000-BDGGG_l01_n01_Trinidad4
        10.3%
        46%
        2.2
        000000000-BDGGG_l01_n01_Trinidad5
        11.2%
        46%
        2.2
        000000000-BDGGG_l01_n01_Trinidad8
        7.4%
        46%
        1.5
        000000000-BDGGG_l01_n01_Trinidad9
        11.6%
        47%
        2.4
        000000000-BDGGG_l01_n01_undetermined
        61.4%
        45%
        0.3
        000000000-BDGGG_l01_n02_Trinidad1
        12.8%
        46%
        2.3
        000000000-BDGGG_l01_n02_Trinidad4
        9.9%
        46%
        2.2
        000000000-BDGGG_l01_n02_Trinidad5
        10.2%
        47%
        2.2
        000000000-BDGGG_l01_n02_Trinidad8
        7.6%
        47%
        1.5
        000000000-BDGGG_l01_n02_Trinidad9
        11.1%
        47%
        2.4
        000000000-BDGGG_l01_n02_undetermined
        60.2%
        46%
        0.3
        000000000-BDGGG_l01_undetermined_1
        47.8%
        45%
        0.3
        000000000-BDGGG_l01_undetermined_2
        45.4%
        45%
        0.3

        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 6/6 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        264,745
        2.5
        Trinidad1
        2,264,785
        21.1
        Trinidad4
        2,189,674
        20.4
        Trinidad5
        2,168,859
        20.2
        Trinidad8
        1,502,504
        14.0
        Trinidad9
        2,354,075
        21.9

        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
        11,906,655
        10,744,642
        2.5
        2.1

        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.

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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.

        24 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.