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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 2018-03-09, 15:03 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/HJJ5VBGX5/merged


        General Statistics

        Showing 12/12 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HJJ5VBGX5_n01_dei01
        51.5%
        49%
        24.2
        HJJ5VBGX5_n01_dei02
        85.2%
        64%
        1.0
        HJJ5VBGX5_n01_dei03
        64.0%
        49%
        5.2
        HJJ5VBGX5_n01_dei04
        55.7%
        55%
        21.5
        HJJ5VBGX5_n01_dei05
        34.3%
        48%
        3.9
        HJJ5VBGX5_n01_dei06
        50.4%
        49%
        32.1
        HJJ5VBGX5_n01_dei07
        50.4%
        49%
        33.1
        HJJ5VBGX5_n01_dei08
        53.4%
        50%
        40.7
        HJJ5VBGX5_n01_dei09
        71.2%
        52%
        95.4
        HJJ5VBGX5_n01_dei10
        46.6%
        51%
        24.0
        HJJ5VBGX5_n01_dei11
        54.8%
        50%
        45.2
        HJJ5VBGX5_n01_dei12
        44.5%
        50%
        16.2

        Run Statistics

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF ReadsUndetermined % PhiX Aligned
        4.0
        404463851
        365936226
        6.4
        1.2

        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 (%)
        dei03
        5237717
        1.5
        96.5
        dei09
        95351932
        27.8
        98.1
        dei08
        40668276
        11.9
        98.2
        dei11
        45194875
        13.2
        97.7
        dei05
        3850761
        1.1
        95.9
        dei06
        32139485
        9.4
        98.2
        dei01
        24237406
        7.1
        98.1
        dei07
        33110676
        9.7
        97.4
        dei04
        21469542
        6.3
        97.8
        dei02
        995127
        0.3
        95.9
        dei10
        24000118
        7.0
        97.7
        dei12
        16218799
        4.7
        97.9

        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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