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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

        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 2017-10-28, 17:27 based on data in: /work/02189/rmharris/IntProWT/01_fastqc


        General Statistics

        Showing 108/108 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        142C_CA1_S_S19_L003_R1_001
        87.9%
        47%
        12.0
        142C_CA1_S_S19_L003_R2_001
        78.6%
        47%
        12.0
        142C_DG_S_S21_L003_R1_001
        86.5%
        48%
        17.2
        142C_DG_S_S21_L003_R2_001
        77.6%
        45%
        17.2
        143A_CA3_1_S35_L002_R1_001
        80.5%
        49%
        5.8
        143A_CA3_1_S35_L002_R2_001
        71.0%
        48%
        5.8
        143A_DG_1_S36_L002_R1_001
        72.0%
        50%
        7.9
        143A_DG_1_S36_L002_R2_001
        63.1%
        49%
        7.9
        143B_CA1_1_S37_L002_R1_001
        71.3%
        48%
        2.9
        143B_CA1_1_S37_L002_R2_001
        62.4%
        48%
        2.9
        143B_DG_1_S38_L002_R1_001
        66.1%
        49%
        3.8
        143B_DG_1_S38_L002_R2_001
        58.0%
        48%
        3.8
        143C_CA1_1_S39_L002_R1_001
        64.2%
        49%
        3.5
        143C_CA1_1_S39_L002_R2_001
        55.9%
        49%
        3.5
        143C_CA1_S_S20_L003_R1_001
        66.5%
        48%
        10.8
        143C_CA1_S_S20_L003_R2_001
        60.0%
        48%
        10.8
        143C_DG_S_S22_L003_R1_001
        93.0%
        48%
        22.4
        143C_DG_S_S22_L003_R2_001
        85.5%
        45%
        22.4
        143D_CA1_3_S40_L002_R1_001
        84.7%
        49%
        3.2
        143D_CA1_3_S40_L002_R2_001
        75.0%
        47%
        3.2
        143D_DG_3_S41_L002_R1_001
        57.6%
        48%
        1.9
        143D_DG_3_S41_L002_R2_001
        49.3%
        48%
        1.9
        144A_CA1_2_S42_L002_R1_001
        62.2%
        48%
        4.9
        144A_CA1_2_S42_L002_R2_001
        56.0%
        49%
        4.9
        144A_CA3_2_S43_L002_R1_001
        63.2%
        47%
        1.8
        144A_CA3_2_S43_L002_R2_001
        55.9%
        45%
        1.8
        144A_DG_2_S44_L002_R1_001
        80.4%
        49%
        7.4
        144A_DG_2_S44_L002_R2_001
        70.4%
        47%
        7.4
        144B_CA1_1_S45_L002_R1_001
        79.9%
        48%
        4.3
        144B_CA1_1_S45_L002_R2_001
        70.4%
        48%
        4.3
        144B_CA3_1_S46_L002_R1_001
        96.3%
        54%
        24.9
        144B_CA3_1_S46_L002_R2_001
        88.2%
        54%
        24.9
        144C_CA1_2_S47_L002_R1_001
        69.5%
        49%
        5.3
        144C_CA1_2_S47_L002_R2_001
        62.0%
        49%
        5.3
        144C_CA3_2_S48_L002_R1_001
        85.7%
        46%
        4.4
        144C_CA3_2_S48_L002_R2_001
        78.4%
        45%
        4.4
        144C_DG_2_S49_L002_R1_001
        56.9%
        48%
        5.2
        144C_DG_2_S49_L002_R2_001
        50.5%
        47%
        5.2
        144D_CA3_2_S50_L002_R1_001
        74.6%
        49%
        4.7
        144D_CA3_2_S50_L002_R2_001
        66.1%
        48%
        4.7
        144D_DG_2_S51_L002_R1_001
        52.0%
        49%
        7.0
        144D_DG_2_S51_L002_R2_001
        46.7%
        49%
        7.0
        145A_CA1_2_S52_L002_R1_001
        79.3%
        49%
        7.2
        145A_CA1_2_S52_L002_R2_001
        70.2%
        49%
        7.2
        145A_CA3_2_S53_L002_R1_001
        91.4%
        49%
        3.1
        145A_CA3_2_S53_L002_R2_001
        85.0%
        46%
        3.1
        145A_DG_2_S54_L002_R1_001
        76.8%
        49%
        4.2
        145A_DG_2_S54_L002_R2_001
        69.7%
        47%
        4.2
        145B_CA1_1_S55_L002_R1_001
        82.6%
        47%
        4.1
        145B_CA1_1_S55_L002_R2_001
        72.7%
        47%
        4.1
        145B_DG_1_S57_L002_R1_001
        80.3%
        48%
        4.6
        145B_DG_1_S57_L002_R2_001
        70.4%
        46%
        4.6
        146A_CA1_2_S58_L003_R1_001
        65.0%
        46%
        3.6
        146A_CA1_2_S58_L003_R2_001
        54.3%
        47%
        3.6
        146A_CA3_2_S59_L003_R1_001
        85.4%
        48%
        5.9
        146A_CA3_2_S59_L003_R2_001
        74.6%
        47%
        5.9
        146A_DG_2_S60_L003_R1_001
        80.6%
        48%
        6.4
        146A_DG_2_S60_L003_R2_001
        67.7%
        45%
        6.4
        146B_CA1_2_S61_L003_R1_001
        93.8%
        47%
        13.5
        146B_CA1_2_S61_L003_R2_001
        84.0%
        45%
        13.5
        146B_CA3_2_S62_L003_R1_001
        74.2%
        48%
        3.9
        146B_CA3_2_S62_L003_R2_001
        63.6%
        48%
        3.9
        146B_DG_2_S63_L003_R1_001
        94.6%
        47%
        4.8
        146B_DG_2_S63_L003_R2_001
        86.1%
        44%
        4.8
        146C_CA1_4_S64_L003_R1_001
        71.6%
        45%
        9.4
        146C_CA1_4_S64_L003_R2_001
        63.7%
        44%
        9.4
        146C_DG_4_S66_L003_R1_001
        83.9%
        47%
        2.5
        146C_DG_4_S66_L003_R2_001
        74.5%
        45%
        2.5
        146D_CA1_3_S67_L003_R1_001
        94.0%
        46%
        5.7
        146D_CA1_3_S67_L003_R2_001
        86.2%
        44%
        5.7
        146D_CA3_3_S68_L003_R1_001
        86.1%
        48%
        6.7
        146D_CA3_3_S68_L003_R2_001
        72.0%
        47%
        6.7
        146D_DG_3_S69_L003_R1_001
        90.1%
        46%
        2.0
        146D_DG_3_S69_L003_R2_001
        81.3%
        44%
        2.0
        147C_CA1_3_S70_L003_R1_001
        71.7%
        47%
        7.5
        147C_CA1_3_S70_L003_R2_001
        61.8%
        46%
        7.5
        147C_CA3_3_S71_L003_R1_001
        86.2%
        48%
        8.7
        147C_CA3_3_S71_L003_R2_001
        73.6%
        48%
        8.7
        147C_DG_3_S72_L003_R1_001
        56.4%
        49%
        7.1
        147C_DG_3_S72_L003_R2_001
        48.2%
        48%
        7.1
        147D_CA3_1_S74_L003_R1_001
        85.1%
        48%
        8.4
        147D_CA3_1_S74_L003_R2_001
        74.1%
        48%
        8.4
        147D_DG_1_S75_L003_R1_001
        86.1%
        49%
        18.3
        147D_DG_1_S75_L003_R2_001
        74.5%
        49%
        18.3
        147_CA1_4_S76_L003_R1_001
        89.3%
        46%
        1.5
        147_CA1_4_S76_L003_R2_001
        78.2%
        45%
        1.5
        147_CA3_4_S77_L003_R1_001
        94.1%
        48%
        4.6
        147_CA3_4_S77_L003_R2_001
        85.3%
        46%
        4.6
        147_DG_4_S78_L003_R1_001
        94.2%
        44%
        4.0
        147_DG_4_S78_L003_R2_001
        82.9%
        44%
        4.0
        148A_CA1_3_S79_L003_R1_001
        68.9%
        49%
        8.1
        148A_CA1_3_S79_L003_R2_001
        61.8%
        49%
        8.1
        148A_CA3_3_S80_L003_R1_001
        81.4%
        49%
        5.7
        148A_CA3_3_S80_L003_R2_001
        70.2%
        48%
        5.7
        148A_DG_3_S81_L003_R1_001
        84.1%
        49%
        9.7
        148A_DG_3_S81_L003_R2_001
        72.5%
        47%
        9.7
        148B_CA1_4_S82_L003_R1_001
        90.3%
        46%
        2.6
        148B_CA1_4_S82_L003_R2_001
        81.1%
        45%
        2.6
        148B_CA3_4_S83_L003_R1_001
        93.9%
        54%
        37.9
        148B_CA3_4_S83_L003_R2_001
        85.7%
        54%
        37.9
        148B_DG_4_S84_L003_R1_001
        72.3%
        49%
        3.1
        148B_DG_4_S84_L003_R2_001
        63.8%
        49%
        3.1
        148_CA1_2_S85_L003_R1_001
        90.8%
        47%
        6.1
        148_CA1_2_S85_L003_R2_001
        79.1%
        45%
        6.1
        148_CA3_2_S86_L003_R1_001
        86.9%
        47%
        7.1
        148_CA3_2_S86_L003_R2_001
        75.4%
        46%
        7.1
        148_DG_2_S87_L003_R1_001
        88.1%
        49%
        5.1
        148_DG_2_S87_L003_R2_001
        76.4%
        48%
        5.1

        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.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        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.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        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 sample 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.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base N Content

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

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Length Distribution

        All samples have sequences of a single length (151bp).


        Sequence Duplication Levels

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

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Overrepresented sequences

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

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        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.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).