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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.

         Loading report..

        Report generated on 2018-03-02, 17:03 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/HJJT3BGX5/merged


        General Statistics

        Showing 40/40 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HJJT3BGX5_n01_ir108_3bs_11_1
        59.8%
        53%
        15.3
        HJJT3BGX5_n01_ir108_3bs_11_2
        53.5%
        52%
        9.2
        HJJT3BGX5_n01_ir108_3bs_12_1
        67.0%
        53%
        25.1
        HJJT3BGX5_n01_ir108_3bs_12_2
        58.7%
        54%
        3.7
        HJJT3BGX5_n01_ir108_3bs_1_1
        64.7%
        53%
        9.4
        HJJT3BGX5_n01_ir108_3bs_1_2
        54.3%
        54%
        6.7
        HJJT3BGX5_n01_ir108_3bs_6_1
        65.7%
        54%
        13.3
        HJJT3BGX5_n01_ir108_3bs_6_2
        63.3%
        54%
        8.9
        HJJT3BGX5_n01_ir108_3bs_9_1
        52.7%
        53%
        6.1
        HJJT3BGX5_n01_ir108_3bs_9_2
        57.5%
        53%
        11.2
        HJJT3BGX5_n01_ir108_4bs_11_1
        61.0%
        53%
        10.2
        HJJT3BGX5_n01_ir108_4bs_11_2
        62.3%
        54%
        6.2
        HJJT3BGX5_n01_ir108_4bs_12_1
        58.3%
        53%
        7.9
        HJJT3BGX5_n01_ir108_4bs_12_2
        67.4%
        53%
        15.8
        HJJT3BGX5_n01_ir108_4bs_1_1
        58.7%
        53%
        6.9
        HJJT3BGX5_n01_ir108_4bs_1_2
        62.0%
        54%
        6.0
        HJJT3BGX5_n01_ir108_4bs_6_1
        67.2%
        53%
        12.7
        HJJT3BGX5_n01_ir108_4bs_6_2
        66.5%
        54%
        9.6
        HJJT3BGX5_n01_ir108_4bs_9_1
        61.7%
        53%
        6.7
        HJJT3BGX5_n01_ir108_4bs_9_2
        60.6%
        53%
        6.2
        HJJT3BGX5_n01_ir64_3bs_11_1
        56.4%
        52%
        14.5
        HJJT3BGX5_n01_ir64_3bs_11_2
        47.1%
        52%
        6.5
        HJJT3BGX5_n01_ir64_3bs_12_1
        61.5%
        52%
        16.5
        HJJT3BGX5_n01_ir64_3bs_12_2
        56.6%
        52%
        12.1
        HJJT3BGX5_n01_ir64_3bs_1_1
        62.9%
        53%
        16.2
        HJJT3BGX5_n01_ir64_3bs_1_2
        55.7%
        52%
        6.7
        HJJT3BGX5_n01_ir64_3bs_6_1
        68.9%
        54%
        10.1
        HJJT3BGX5_n01_ir64_3bs_6_2
        79.1%
        53%
        8.6
        HJJT3BGX5_n01_ir64_3bs_9_1
        57.2%
        52%
        8.9
        HJJT3BGX5_n01_ir64_3bs_9_2
        56.5%
        52%
        8.1
        HJJT3BGX5_n01_ir64_4bs_11_1
        66.3%
        53%
        15.2
        HJJT3BGX5_n01_ir64_4bs_11_2
        56.9%
        53%
        8.1
        HJJT3BGX5_n01_ir64_4bs_12_1
        65.0%
        53%
        25.2
        HJJT3BGX5_n01_ir64_4bs_12_2
        67.1%
        53%
        5.7
        HJJT3BGX5_n01_ir64_4bs_1_1
        63.2%
        53%
        7.7
        HJJT3BGX5_n01_ir64_4bs_1_2
        56.0%
        52%
        11.4
        HJJT3BGX5_n01_ir64_4bs_6_1
        77.7%
        53%
        10.1
        HJJT3BGX5_n01_ir64_4bs_6_2
        58.6%
        54%
        4.9
        HJJT3BGX5_n01_ir64_4bs_9_1
        58.6%
        53%
        6.7
        HJJT3BGX5_n01_ir64_4bs_9_2
        6.8%
        53%
        0.0

        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
        448808804
        418655921
        4.5
        1.7

        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 40/40 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        ir64_3bs_12_1
        16473248
        4.1
        100.0
        ir64_3bs_6_2
        8594911
        2.1
        100.0
        ir108_4bs_9_1
        6654662
        1.7
        100.0
        ir108_3bs_6_2
        8940687
        2.2
        100.0
        ir108_4bs_6_2
        9606718
        2.4
        100.0
        ir64_4bs_12_1
        25185661
        6.3
        100.0
        ir64_3bs_9_2
        8073815
        2.0
        100.0
        ir108_4bs_6_1
        12695563
        3.2
        100.0
        ir108_3bs_1_1
        9425012
        2.4
        100.0
        ir108_4bs_1_1
        6884200
        1.7
        100.0
        ir64_3bs_6_1
        10111625
        2.5
        100.0
        ir64_4bs_6_2
        4896190
        1.2
        100.0
        ir108_4bs_1_2
        5955202
        1.5
        100.0
        ir64_4bs_1_1
        7728725
        1.9
        100.0
        ir108_4bs_12_2
        15789798
        3.9
        100.0
        ir64_4bs_11_1
        15192396
        3.8
        100.0
        ir64_3bs_1_1
        16152424
        4.0
        100.0
        ir64_4bs_11_2
        8117073
        2.0
        100.0
        ir108_3bs_9_1
        6051867
        1.5
        100.0
        ir108_3bs_12_2
        3657456
        0.9
        100.0
        ir108_3bs_9_2
        11215135
        2.8
        100.0
        ir108_4bs_11_1
        10239238
        2.6
        100.0
        ir108_3bs_1_2
        6660211
        1.7
        100.0
        ir108_4bs_12_1
        7865005
        2.0
        100.0
        ir64_4bs_6_1
        10108801
        2.5
        100.0
        ir64_3bs_12_2
        12072519
        3.0
        100.0
        ir108_3bs_11_2
        9177649
        2.3
        100.0
        ir64_4bs_12_2
        5666935
        1.4
        100.0
        ir64_3bs_1_2
        6736453
        1.7
        100.0
        ir108_4bs_11_2
        6162590
        1.5
        100.0
        ir108_3bs_6_1
        13291164
        3.3
        100.0
        ir108_3bs_11_1
        15303666
        3.8
        100.0
        ir64_3bs_9_1
        8946219
        2.2
        100.0
        ir64_4bs_1_2
        11378666
        2.8
        100.0
        ir64_3bs_11_2
        6450346
        1.6
        100.0
        ir64_4bs_9_2
        4916
        0.0
        100.0
        ir64_3bs_11_1
        14502062
        3.6
        100.0
        ir64_4bs_9_1
        6670273
        1.7
        100.0
        ir108_3bs_12_1
        25092420
        6.3
        100.0
        ir108_4bs_9_2
        6185866
        1.5
        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 (75bp).


        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.

        40 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.

        loading..