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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.

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        Report generated on 2017-09-03, 02:09 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/CAWHCACXX/3

        General Statistics

        Showing 14/14 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        CAWHCACXX_l03n01_ogla_54.3510000009bd70
        27.6%
        44%
        32.8
        CAWHCACXX_l03n01_ogla_55.3510000009bd63
        32.3%
        46%
        38.7
        CAWHCACXX_l03n01_ogla_56.3510000009bceb
        29.7%
        44%
        32.7
        CAWHCACXX_l03n01_ogla_57.3510000009bc71
        31.6%
        43%
        36.7
        CAWHCACXX_l03n01_ogla_58.3510000009bbf9
        26.0%
        44%
        23.7
        CAWHCACXX_l03n01_osat_131.3510000009bb15
        25.8%
        46%
        13.7
        CAWHCACXX_l03n01_osat_150_2.3510000009bb9c
        24.1%
        43%
        6.8
        CAWHCACXX_l03n02_ogla_54.3520000009bd7d
        27.0%
        44%
        32.8
        CAWHCACXX_l03n02_ogla_55.3520000009bd60
        32.0%
        46%
        38.7
        CAWHCACXX_l03n02_ogla_56.3520000009bce8
        28.9%
        44%
        32.7
        CAWHCACXX_l03n02_ogla_57.3520000009bc7e
        30.6%
        43%
        36.7
        CAWHCACXX_l03n02_ogla_58.3520000009bbf6
        26.0%
        44%
        23.7
        CAWHCACXX_l03n02_osat_131.3520000009bb12
        24.7%
        46%
        13.7
        CAWHCACXX_l03n02_osat_150_2.3520000009bb99
        23.7%
        43%
        6.8

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 3/3 columns.
        LaneTotal # of Single-End ReadsTotal # PF ReadsUndetermined
        3.0
        196406920
        189386933
        2.23%

        Lane 3 Demultiplexing Report

        Lane 3 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 7/7 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        osat_150_2
        6829315
        3.7
        98.6
        osat_131
        13705220
        7.4
        99.1
        ogla_55
        38696651
        20.9
        99.0
        ogla_54
        32790644
        17.7
        98.8
        ogla_57
        36721356
        19.8
        99.2
        ogla_56
        32727762
        17.7
        98.9
        ogla_58
        23686513
        12.8
        98.2

        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 (101bp).

        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.

        14 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.