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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 2017-04-11, 20:04 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/H7V7CAFXX-test/merged


        General Statistics

        Showing 6/6 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        H7V7CAFXX_n01_vs40_170203
        27.7%
        38%
        9.0
        H7V7CAFXX_n01_vs41_170203
        27.8%
        38%
        8.2
        H7V7CAFXX_n01_vs42_170203
        25.9%
        37%
        8.4
        H7V7CAFXX_n01_vs43_170203
        24.4%
        38%
        6.9
        H7V7CAFXX_n01_vs44_170203
        23.8%
        37%
        5.6
        H7V7CAFXX_n01_vs45_170203
        28.0%
        37%
        9.5

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 3/3 columns.
        Sample NameTotal # ReadsTotal # PF ReadsUndetermined
        4.0
        210,919,037
        184183034.0
        1.15%

        Demultiplexing Report

        Demultiplexing Report

        Showing 21/21 rows and 3/3 columns.
        Sample NameTotal Read CountPortionPerfect
        vs23_170203
        9373539.0
        5.3
        98.0
        vs35_170203
        7121454.0
        4.0
        96.9
        vs44_170203
        5564413.0
        3.1
        97.8
        vs25_170203
        8354467.0
        4.7
        97.7
        vs32_170203
        9053273.0
        5.1
        97.9
        vs40_170203
        9035719.0
        5.1
        98.1
        vs36_170203
        6147142.0
        3.5
        97.7
        vs43_170203
        6934693.0
        3.9
        97.6
        vs26_170203
        8014388.0
        4.5
        95.8
        vs37_170203
        9174449.0
        5.2
        98.1
        vs27_170203
        9291601.0
        5.2
        98.1
        vs30_170203
        9471656.0
        5.3
        98.0
        vs28_170203
        8300288.0
        4.7
        97.5
        vs34_170203
        8307330.0
        4.7
        97.6
        vs24_170203
        8060352.0
        4.6
        98.0
        vs42_170203
        8371463.0
        4.7
        97.5
        vs29_170203
        10183390.0
        5.7
        96.6
        vs41_170203
        8151417.0
        4.6
        97.8
        vs33_170203
        6388947.0
        3.6
        97.3
        vs31_170203
        12317359.0
        7.0
        97.6
        vs45_170203
        9493485.0
        5.4
        98.1

        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.

        6 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.

        No samples found with any adapter contamination > 0.1%