Loading report..

Highlight Samples

Regex mode off

    Rename Samples

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.


        Choose Plots

        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

        Save Settings

        You can save the toolbox settings for this report to the browser.


        Load Settings

        Choose a saved report profile from the dropdown box below:

        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.

         Loading report..

        Report generated on 2017-09-02, 09:09 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/HGG5NBGX3/merged


        General Statistics

        Showing 28/28 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HGG5NBGX3_n01_ac11
        92.1%
        52%
        23.9
        HGG5NBGX3_n01_ac12
        91.1%
        49%
        57.4
        HGG5NBGX3_n01_at11
        89.3%
        52%
        5.4
        HGG5NBGX3_n01_at12
        90.3%
        51%
        6.4
        HGG5NBGX3_n01_bc11
        90.2%
        45%
        10.8
        HGG5NBGX3_n01_bc12
        89.7%
        46%
        8.8
        HGG5NBGX3_n01_bt11
        93.7%
        55%
        19.2
        HGG5NBGX3_n01_bt12
        93.3%
        53%
        14.8
        HGG5NBGX3_n01_cc11
        92.1%
        48%
        86.9
        HGG5NBGX3_n01_cc12
        92.4%
        48%
        51.3
        HGG5NBGX3_n01_cc22
        88.5%
        47%
        62.9
        HGG5NBGX3_n01_ct12
        86.7%
        48%
        38.6
        HGG5NBGX3_n01_ct21
        90.5%
        49%
        85.7
        HGG5NBGX3_n01_ct22
        85.2%
        50%
        21.1
        HGG5NBGX3_n02_ac11
        76.9%
        52%
        23.9
        HGG5NBGX3_n02_ac12
        85.6%
        48%
        57.4
        HGG5NBGX3_n02_at11
        82.9%
        51%
        5.4
        HGG5NBGX3_n02_at12
        84.5%
        51%
        6.4
        HGG5NBGX3_n02_bc11
        83.8%
        45%
        10.8
        HGG5NBGX3_n02_bc12
        83.0%
        45%
        8.8
        HGG5NBGX3_n02_bt11
        89.6%
        55%
        19.2
        HGG5NBGX3_n02_bt12
        87.8%
        53%
        14.8
        HGG5NBGX3_n02_cc11
        83.6%
        48%
        86.9
        HGG5NBGX3_n02_cc12
        85.5%
        47%
        51.3
        HGG5NBGX3_n02_cc22
        83.2%
        46%
        62.9
        HGG5NBGX3_n02_ct12
        80.3%
        48%
        38.6
        HGG5NBGX3_n02_ct21
        85.0%
        49%
        85.7
        HGG5NBGX3_n02_ct22
        79.9%
        50%
        21.1

        Run Statistics

        Run Statistics

        Showing 1/1 rows and 3/3 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF ReadsUndetermined
        4.0
        586400635
        526720731
        6.36%

        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 14/14 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        ct12
        38554091
        7.8
        94.2
        bt11
        19213737
        3.9
        94.4
        ct21
        85743997
        17.4
        95.4
        ct22
        21103261
        4.3
        93.9
        ac11
        23879795
        4.8
        94.3
        cc11
        86888617
        17.6
        94.4
        bc11
        10784586
        2.2
        91.8
        bt12
        14814378
        3.0
        91.5
        cc12
        51292667
        10.4
        95.3
        at11
        5414534
        1.1
        93.7
        ac12
        57430023
        11.6
        95.2
        at12
        6436685
        1.3
        92.3
        bc12
        8802870
        1.8
        93.7
        cc22
        62850246
        12.7
        92.6

        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.

        loading..

        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.

        loading..

        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.

        loading..

        Per Base N Content

        The percentage of base calls at each position for which an N was called. See the FastQC help.

        loading..

        Sequence Length Distribution

        All samples have sequences of a single length (150bp).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence. See the FastQC help.

        loading..

        Overrepresented sequences

        The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

        loading..

        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.

        loading..