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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.

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        Report generated on 2017-07-26, 00:07 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/HWFTLBGX2/merged


        General Statistics

        Showing 12/12 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HWFTLBGX2_n01_mb37
        34.6%
        40%
        37.2
        HWFTLBGX2_n01_mb38
        23.9%
        39%
        34.8
        HWFTLBGX2_n01_mb39
        13.6%
        42%
        34.1
        HWFTLBGX2_n01_mb40
        14.5%
        43%
        35.9
        HWFTLBGX2_n01_mb41
        22.5%
        40%
        31.8
        HWFTLBGX2_n01_mb42
        37.1%
        41%
        30.3
        HWFTLBGX2_n01_mb43
        33.6%
        42%
        33.5
        HWFTLBGX2_n01_mb44
        25.1%
        40%
        31.4
        HWFTLBGX2_n01_mb45
        20.8%
        41%
        31.1
        HWFTLBGX2_n01_mb46
        11.9%
        43%
        37.0
        HWFTLBGX2_n01_mb47
        11.0%
        43%
        37.4
        HWFTLBGX2_n01_mb48
        35.9%
        42%
        28.4

        Run Statistics

        Run Statistics

        Showing 1/1 rows and 3/3 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF ReadsUndetermined
        4.0
        449769100
        424479765
        1.29%

        Demultiplexing Report

        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.
        Perfect: The percentage of reads in this library which have a barcode perfectly matching the barcode specified in TuboWeb. The remainder of reads have mismatches upto the max number of mismatches specified in TuboWeb (Allowed barcode mismatch option in your Library Pool).

        Showing 12/12 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        mb44
        31362752
        7.8
        98.5
        mb37
        37218782
        9.2
        99.0
        mb47
        37434628
        9.3
        98.7
        mb38
        34790908
        8.6
        98.1
        mb40
        35914584
        8.9
        98.8
        mb46
        37016317
        9.2
        98.8
        mb39
        34072906
        8.5
        99.0
        mb42
        30296758
        7.5
        98.5
        mb43
        33534082
        8.3
        98.5
        mb45
        31055556
        7.7
        98.4
        mb48
        28350140
        7.0
        97.8
        mb41
        31760530
        7.9
        99.0

        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 (75bp).


        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.

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        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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