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 2018-07-12, 19:07 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/H3KCTBGX7/merged


        General Statistics

        Showing 36/36 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        H3KCTBGX7_n01_nlp7_1
        80.2%
        52%
        8.2
        H3KCTBGX7_n01_nlp7_10
        88.1%
        49%
        8.5
        H3KCTBGX7_n01_nlp7_11
        86.9%
        49%
        6.4
        H3KCTBGX7_n01_nlp7_12
        80.4%
        53%
        7.5
        H3KCTBGX7_n01_nlp7_13
        63.5%
        50%
        8.2
        H3KCTBGX7_n01_nlp7_14
        64.1%
        49%
        9.8
        H3KCTBGX7_n01_nlp7_15
        62.9%
        49%
        8.4
        H3KCTBGX7_n01_nlp7_16
        69.2%
        50%
        10.4
        H3KCTBGX7_n01_nlp7_17
        65.2%
        49%
        11.8
        H3KCTBGX7_n01_nlp7_18
        73.9%
        51%
        12.1
        H3KCTBGX7_n01_nlp7_19
        65.2%
        49%
        15.1
        H3KCTBGX7_n01_nlp7_2
        86.2%
        49%
        7.7
        H3KCTBGX7_n01_nlp7_20
        68.8%
        51%
        8.7
        H3KCTBGX7_n01_nlp7_21
        64.5%
        50%
        10.5
        H3KCTBGX7_n01_nlp7_22
        67.1%
        49%
        8.7
        H3KCTBGX7_n01_nlp7_23
        64.5%
        49%
        11.8
        H3KCTBGX7_n01_nlp7_24
        67.6%
        51%
        11.5
        H3KCTBGX7_n01_nlp7_25
        65.1%
        46%
        10.5
        H3KCTBGX7_n01_nlp7_26
        81.9%
        51%
        9.9
        H3KCTBGX7_n01_nlp7_27
        69.8%
        47%
        10.9
        H3KCTBGX7_n01_nlp7_28
        83.3%
        51%
        10.1
        H3KCTBGX7_n01_nlp7_29
        68.7%
        46%
        10.3
        H3KCTBGX7_n01_nlp7_3
        83.7%
        50%
        6.6
        H3KCTBGX7_n01_nlp7_30
        82.3%
        52%
        10.2
        H3KCTBGX7_n01_nlp7_31
        84.7%
        48%
        9.2
        H3KCTBGX7_n01_nlp7_32
        59.9%
        47%
        12.9
        H3KCTBGX7_n01_nlp7_33
        75.7%
        48%
        6.5
        H3KCTBGX7_n01_nlp7_34
        60.1%
        49%
        12.0
        H3KCTBGX7_n01_nlp7_35
        78.6%
        47%
        7.9
        H3KCTBGX7_n01_nlp7_36
        61.6%
        48%
        12.7
        H3KCTBGX7_n01_nlp7_4
        80.2%
        52%
        7.8
        H3KCTBGX7_n01_nlp7_5
        84.1%
        52%
        9.6
        H3KCTBGX7_n01_nlp7_6
        87.3%
        49%
        7.9
        H3KCTBGX7_n01_nlp7_7
        87.6%
        50%
        7.6
        H3KCTBGX7_n01_nlp7_8
        78.9%
        53%
        8.3
        H3KCTBGX7_n01_nlp7_9
        86.0%
        53%
        9.0

        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
        431521905
        376732163
        8.3
        1.9

        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 36/36 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        nlp7_8
        8275750
        2.4
        100.0
        nlp7_19
        15095843
        4.4
        100.0
        nlp7_20
        8718132
        2.5
        100.0
        nlp7_12
        7536262
        2.2
        100.0
        nlp7_30
        10179210
        2.9
        100.0
        nlp7_6
        7924545
        2.3
        100.0
        nlp7_2
        7662746
        2.2
        100.0
        nlp7_13
        8163957
        2.4
        100.0
        nlp7_26
        9913715
        2.9
        100.0
        nlp7_23
        11816516
        3.4
        100.0
        nlp7_27
        10903222
        3.2
        100.0
        nlp7_17
        11842856
        3.4
        100.0
        nlp7_36
        12721198
        3.7
        100.0
        nlp7_7
        7591274
        2.2
        100.0
        nlp7_34
        12004188
        3.5
        100.0
        nlp7_3
        6574990
        1.9
        100.0
        nlp7_35
        7854805
        2.3
        100.0
        nlp7_24
        11516057
        3.3
        100.0
        nlp7_16
        10434989
        3.0
        100.0
        nlp7_31
        9216788
        2.7
        100.0
        nlp7_29
        10345783
        3.0
        100.0
        nlp7_22
        8732672
        2.5
        100.0
        nlp7_15
        8419932
        2.4
        100.0
        nlp7_4
        7805313
        2.3
        100.0
        nlp7_25
        10518769
        3.0
        100.0
        nlp7_1
        8194418
        2.4
        100.0
        nlp7_9
        9046915
        2.6
        100.0
        nlp7_5
        9597538
        2.8
        100.0
        nlp7_28
        10100911
        2.9
        100.0
        nlp7_33
        6481039
        1.9
        100.0
        nlp7_21
        10544404
        3.1
        100.0
        nlp7_14
        9788138
        2.8
        100.0
        nlp7_18
        12050051
        3.5
        100.0
        nlp7_10
        8517195
        2.5
        100.0
        nlp7_11
        6366009
        1.8
        100.0
        nlp7_32
        12912790
        3.7
        100.0

        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.

        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 (76bp).


        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..