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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.

        Report generated on 2022-10-13, 09:10 based on data in: /mainfs/scratch/cmp1g20/Neuroblastoma_RNAseq/FASTQC


        General Statistics

        Showing 108/108 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        COMB1_PT10_1_1
        67.4%
        50%
        43.0
        COMB1_PT10_1_2
        65.4%
        50%
        43.0
        COMB1_PT10_2_1
        71.7%
        51%
        43.3
        COMB1_PT10_2_2
        68.7%
        51%
        43.3
        COMB1_PT10_3_1
        58.6%
        50%
        45.1
        COMB1_PT10_3_2
        55.9%
        50%
        45.1
        COMB1_PT3_1_1
        67.0%
        50%
        43.7
        COMB1_PT3_1_2
        64.4%
        50%
        43.7
        COMB1_PT3_2_1
        67.2%
        50%
        42.9
        COMB1_PT3_2_2
        64.9%
        50%
        42.9
        COMB1_PT3_3_1
        60.1%
        51%
        55.8
        COMB1_PT3_3_2
        57.8%
        51%
        55.8
        COMB1_PT7_1_1
        65.5%
        51%
        45.9
        COMB1_PT7_1_2
        64.4%
        51%
        45.9
        COMB1_PT7_2_1
        68.2%
        52%
        41.2
        COMB1_PT7_2_2
        64.3%
        52%
        41.2
        COMB1_PT7_3_1
        55.7%
        51%
        42.9
        COMB1_PT7_3_2
        53.6%
        51%
        42.9
        COMB2_PT10_1_1
        75.0%
        49%
        44.2
        COMB2_PT10_1_2
        72.7%
        49%
        44.2
        COMB2_PT10_2_1
        67.5%
        52%
        44.1
        COMB2_PT10_2_2
        65.7%
        52%
        44.1
        COMB2_PT10_3_1
        63.0%
        48%
        43.5
        COMB2_PT10_3_2
        61.4%
        48%
        43.5
        COMB2_PT3_1_1
        67.7%
        50%
        53.1
        COMB2_PT3_1_2
        66.4%
        50%
        53.1
        COMB2_PT3_2_1
        67.8%
        51%
        46.2
        COMB2_PT3_2_2
        64.3%
        51%
        46.2
        COMB2_PT3_3_1
        58.4%
        51%
        41.6
        COMB2_PT3_3_2
        56.5%
        51%
        41.6
        COMB2_PT7_1_1
        65.8%
        51%
        41.5
        COMB2_PT7_1_2
        64.8%
        51%
        41.5
        COMB2_PT7_2_1
        71.6%
        46%
        42.2
        COMB2_PT7_2_2
        71.0%
        46%
        42.2
        COMB2_PT7_3_1
        58.8%
        52%
        43.0
        COMB2_PT7_3_2
        57.1%
        52%
        43.0
        DMSO_PT10_1_1
        70.8%
        52%
        40.6
        DMSO_PT10_1_2
        69.0%
        52%
        40.6
        DMSO_PT10_2_1
        76.5%
        48%
        42.7
        DMSO_PT10_2_2
        75.1%
        48%
        42.7
        DMSO_PT10_3_1
        58.7%
        52%
        42.8
        DMSO_PT10_3_2
        56.5%
        52%
        42.8
        DMSO_PT3_1_1
        67.8%
        49%
        48.0
        DMSO_PT3_1_2
        66.8%
        50%
        48.0
        DMSO_PT3_2_1
        71.2%
        51%
        55.2
        DMSO_PT3_2_2
        68.8%
        51%
        55.2
        DMSO_PT3_3_1
        59.9%
        51%
        47.1
        DMSO_PT3_3_2
        56.5%
        51%
        47.1
        DMSO_PT7_1_1
        68.7%
        51%
        48.0
        DMSO_PT7_1_2
        67.5%
        51%
        48.0
        DMSO_PT7_2_1
        70.2%
        52%
        56.1
        DMSO_PT7_2_2
        68.5%
        52%
        56.1
        DMSO_PT7_3_1
        58.6%
        51%
        41.9
        DMSO_PT7_3_2
        56.1%
        51%
        41.9
        GSK_PT10_1_1
        74.0%
        49%
        42.1
        GSK_PT10_1_2
        72.5%
        49%
        42.1
        GSK_PT10_2_1
        72.7%
        50%
        41.0
        GSK_PT10_2_2
        71.6%
        50%
        41.0
        GSK_PT10_3_1
        61.4%
        48%
        43.0
        GSK_PT10_3_2
        60.3%
        48%
        43.0
        GSK_PT3_1_1
        74.5%
        51%
        42.0
        GSK_PT3_1_2
        74.6%
        51%
        42.0
        GSK_PT3_2_1
        69.7%
        51%
        48.1
        GSK_PT3_2_2
        68.5%
        51%
        48.1
        GSK_PT3_3_1
        61.1%
        51%
        55.2
        GSK_PT3_3_2
        58.3%
        51%
        55.2
        GSK_PT7_1_1
        63.1%
        51%
        40.5
        GSK_PT7_1_2
        62.4%
        51%
        40.5
        GSK_PT7_2_1
        66.5%
        52%
        41.8
        GSK_PT7_2_2
        63.7%
        52%
        41.8
        GSK_PT7_3_1
        57.6%
        50%
        41.1
        GSK_PT7_3_2
        55.9%
        50%
        41.1
        RA_PT10_1_1
        71.2%
        51%
        42.0
        RA_PT10_1_2
        69.5%
        51%
        42.0
        RA_PT10_2_1
        69.0%
        50%
        41.1
        RA_PT10_2_2
        66.7%
        50%
        41.1
        RA_PT10_3_1
        60.4%
        51%
        42.2
        RA_PT10_3_2
        56.9%
        51%
        42.2
        RA_PT3_1_1
        68.2%
        49%
        48.2
        RA_PT3_1_2
        66.1%
        49%
        48.2
        RA_PT3_2_1
        68.5%
        51%
        41.9
        RA_PT3_2_2
        66.6%
        51%
        41.9
        RA_PT3_3_1
        59.0%
        51%
        46.7
        RA_PT3_3_2
        57.3%
        51%
        46.7
        RA_PT7_1_1
        66.4%
        51%
        46.8
        RA_PT7_1_2
        65.0%
        51%
        46.8
        RA_PT7_2_1
        67.3%
        52%
        41.9
        RA_PT7_2_2
        65.4%
        52%
        41.9
        RA_PT7_3_1
        64.9%
        50%
        43.4
        RA_PT7_3_2
        64.2%
        50%
        43.4
        TAZ_PT10_1_1
        68.8%
        51%
        40.8
        TAZ_PT10_1_2
        67.4%
        51%
        40.8
        TAZ_PT10_2_1
        74.1%
        49%
        42.0
        TAZ_PT10_2_2
        71.6%
        49%
        42.0
        TAZ_PT10_3_1
        60.2%
        50%
        41.5
        TAZ_PT10_3_2
        58.4%
        50%
        41.5
        TAZ_PT3_1_1
        67.9%
        51%
        41.7
        TAZ_PT3_1_2
        65.3%
        51%
        41.7
        TAZ_PT3_2_1
        69.9%
        50%
        48.2
        TAZ_PT3_2_2
        68.2%
        50%
        48.2
        TAZ_PT3_3_1
        58.9%
        51%
        48.0
        TAZ_PT3_3_2
        56.5%
        51%
        48.0
        TAZ_PT7_1_1
        64.8%
        51%
        43.0
        TAZ_PT7_1_2
        63.9%
        51%
        43.0
        TAZ_PT7_2_1
        67.9%
        52%
        40.6
        TAZ_PT7_2_2
        64.1%
        52%
        40.6
        TAZ_PT7_3_1
        57.4%
        51%
        43.5
        TAZ_PT7_3_2
        55.5%
        51%
        43.5

        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 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.

        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 (150bp).


        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.

        108 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.

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