T84_IL22_IFNL_Data_BoulantLab

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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.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

        T84_IL22_IFNL_Data_BoulantLab

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2021-03-08, 14:03 based on data in: /icgc/dkfzlsdf/analysis/B080/sharma/boulantLab/T84_IL22_IFNL


        General Statistics

        Showing 96/96 rows and 5/7 columns.
        Sample Name% AssignedM Assigned% Dups% GCM Seqs
        22L-12h-1_S48_R1_001
        68.9%
        23.6
        59.8%
        51%
        34.3
        22L-12h-1_S48_R2_001
        58.8%
        51%
        34.3
        22L-12h-2_S49_R1_001
        67.6%
        27.8
        62.8%
        51%
        41.2
        22L-12h-2_S49_R2_001
        61.2%
        51%
        41.2
        22L-12h-3_S50_R1_001
        68.1%
        18.3
        56.2%
        50%
        26.8
        22L-12h-3_S50_R2_001
        54.7%
        50%
        26.8
        22L-24h-1_S51_R1_001
        55.2%
        18.9
        63.6%
        52%
        34.3
        22L-24h-1_S51_R2_001
        62.0%
        52%
        34.3
        22L-24h-2_S52_R1_001
        67.9%
        23.4
        59.7%
        51%
        34.5
        22L-24h-2_S52_R2_001
        57.7%
        51%
        34.5
        22L-24h-3_S53_R1_001
        52.8%
        16.2
        64.4%
        52%
        30.6
        22L-24h-3_S53_R2_001
        62.6%
        52%
        30.6
        22L-3h-1_S42_R1_001
        64.2%
        19.6
        58.8%
        51%
        30.5
        22L-3h-1_S42_R2_001
        57.1%
        51%
        30.5
        22L-3h-2_S43_R1_001
        52.5%
        17.5
        65.7%
        53%
        33.3
        22L-3h-2_S43_R2_001
        63.9%
        53%
        33.3
        22L-3h-3_S44_R1_001
        64.2%
        29.8
        64.7%
        51%
        46.4
        22L-3h-3_S44_R2_001
        62.7%
        51%
        46.4
        22L-6h-1_S45_R1_001
        58.6%
        23.3
        64.3%
        51%
        39.7
        22L-6h-1_S45_R2_001
        62.6%
        51%
        39.7
        22L-6h-2_S46_R1_001
        68.3%
        20.4
        59.6%
        50%
        29.9
        22L-6h-2_S46_R2_001
        58.2%
        50%
        29.9
        22L-6h-3_S47_R1_001
        59.4%
        18.7
        62.1%
        51%
        31.4
        22L-6h-3_S47_R2_001
        60.7%
        51%
        31.4
        IFN-L-12h-1_S24_R1_001
        58.7%
        20.2
        62.7%
        51%
        34.4
        IFN-L-12h-1_S24_R2_001
        60.3%
        51%
        34.4
        IFN-L-12h-2_S25_R1_001
        61.4%
        22.4
        62.6%
        51%
        36.5
        IFN-L-12h-2_S25_R2_001
        60.9%
        51%
        36.5
        IFN-L-12h-3_S26_R1_001
        68.0%
        24.8
        61.5%
        51%
        36.4
        IFN-L-12h-3_S26_R2_001
        60.2%
        51%
        36.4
        IFN-L-24h-1_S27_R1_001
        61.3%
        21.0
        63.4%
        53%
        34.2
        IFN-L-24h-1_S27_R2_001
        62.0%
        53%
        34.2
        IFN-L-24h-2_S28_R1_001
        65.4%
        25.3
        61.8%
        51%
        38.7
        IFN-L-24h-2_S28_R2_001
        60.2%
        51%
        38.7
        IFN-L-24h-3_S29_R1_001
        51.6%
        22.0
        67.5%
        52%
        42.6
        IFN-L-24h-3_S29_R2_001
        65.1%
        52%
        42.6
        IFN-L-3h-1_S18_R1_001
        61.2%
        20.8
        61.7%
        51%
        34.0
        IFN-L-3h-1_S18_R2_001
        60.0%
        51%
        34.0
        IFN-L-3h-2_S19_R1_001
        51.5%
        31.9
        70.9%
        52%
        62.0
        IFN-L-3h-2_S19_R2_001
        68.7%
        53%
        62.0
        IFN-L-3h-3_S20_R1_001
        59.3%
        21.9
        63.2%
        52%
        36.9
        IFN-L-3h-3_S20_R2_001
        61.2%
        52%
        36.9
        IFN-L-6h-1_S21_R1_001
        50.1%
        49.5
        74.9%
        53%
        98.8
        IFN-L-6h-1_S21_R2_001
        73.5%
        53%
        98.8
        IFN-L-6h-2_S22_R1_001
        65.6%
        30.7
        63.4%
        50%
        46.9
        IFN-L-6h-2_S22_R2_001
        61.8%
        50%
        46.9
        IFN-L-6h-3_S23_R1_001
        58.9%
        23.7
        64.7%
        51%
        40.3
        IFN-L-6h-3_S23_R2_001
        62.5%
        51%
        40.3
        IL-22-12h-1_S36_R1_001
        62.9%
        21.1
        61.6%
        51%
        33.5
        IL-22-12h-1_S36_R2_001
        59.6%
        51%
        33.5
        IL-22-12h-2_S37_R1_001
        54.7%
        19.2
        64.6%
        52%
        35.2
        IL-22-12h-2_S37_R2_001
        62.9%
        52%
        35.2
        IL-22-12h-3_S38_R1_001
        64.1%
        23.7
        61.6%
        51%
        37.0
        IL-22-12h-3_S38_R2_001
        59.8%
        51%
        37.0
        IL-22-24h-1_S39_R1_001
        63.8%
        21.4
        61.5%
        51%
        33.5
        IL-22-24h-1_S39_R2_001
        60.1%
        51%
        33.5
        IL-22-24h-2_S40_R1_001
        66.0%
        20.8
        59.7%
        51%
        31.5
        IL-22-24h-2_S40_R2_001
        57.2%
        51%
        31.5
        IL-22-24h-3_S41_R1_001
        67.0%
        25.5
        67.1%
        52%
        38.0
        IL-22-24h-3_S41_R2_001
        65.4%
        52%
        38.0
        IL-22-3h-1_S30_R1_001
        66.3%
        28.5
        63.6%
        51%
        42.9
        IL-22-3h-1_S30_R2_001
        62.1%
        51%
        42.9
        IL-22-3h-2_S31_R1_001
        51.4%
        16.0
        65.4%
        52%
        31.0
        IL-22-3h-2_S31_R2_001
        63.5%
        52%
        31.0
        IL-22-3h-3_S32_R1_001
        64.5%
        21.6
        61.6%
        51%
        33.5
        IL-22-3h-3_S32_R2_001
        59.6%
        51%
        33.5
        IL-22-6h-1_S33_R1_001
        59.8%
        17.0
        62.0%
        51%
        28.5
        IL-22-6h-1_S33_R2_001
        60.2%
        51%
        28.5
        IL-22-6h-2_S34_R1_001
        63.6%
        16.5
        56.1%
        51%
        25.9
        IL-22-6h-2_S34_R2_001
        54.1%
        51%
        25.9
        IL-22-6h-3_S35_R1_001
        47.8%
        21.9
        67.7%
        52%
        45.7
        IL-22-6h-3_S35_R2_001
        66.0%
        52%
        45.7
        Mock-12h-1_S12_R1_001
        56.4%
        21.9
        64.7%
        52%
        38.9
        Mock-12h-1_S12_R2_001
        63.0%
        52%
        38.9
        Mock-12h-4_S13_R1_001
        57.3%
        19.9
        64.1%
        52%
        34.8
        Mock-12h-4_S13_R2_001
        62.1%
        52%
        34.8
        Mock-12h-6_S14_R1_001
        66.2%
        31.1
        65.2%
        52%
        47.0
        Mock-12h-6_S14_R2_001
        63.7%
        52%
        47.0
        Mock-24h-1_S15_R1_001
        51.4%
        12.5
        63.6%
        53%
        24.3
        Mock-24h-1_S15_R2_001
        61.5%
        53%
        24.3
        Mock-24h-2_S16_R1_001
        64.3%
        22.2
        61.4%
        52%
        34.5
        Mock-24h-2_S16_R2_001
        60.0%
        52%
        34.5
        Mock-24h-3_S17_R1_001
        58.1%
        17.0
        62.8%
        53%
        29.3
        Mock-24h-3_S17_R2_001
        61.3%
        53%
        29.3
        Mock-3h-1_S6_R1_001
        61.3%
        22.7
        64.9%
        52%
        37.1
        Mock-3h-1_S6_R2_001
        63.3%
        52%
        37.1
        Mock-3h-2_S7_R1_001
        55.3%
        21.5
        65.5%
        53%
        38.8
        Mock-3h-2_S7_R2_001
        63.9%
        53%
        38.8
        Mock-3h-3_S8_R1_001
        54.6%
        16.0
        64.2%
        53%
        29.3
        Mock-3h-3_S8_R2_001
        62.6%
        53%
        29.3
        Mock-6h-1_S9_R1_001
        53.5%
        36.5
        70.6%
        53%
        68.3
        Mock-6h-1_S9_R2_001
        68.8%
        53%
        68.3
        Mock-6h-2_S10_R1_001
        58.0%
        30.6
        67.0%
        52%
        52.8
        Mock-6h-2_S10_R2_001
        65.1%
        52%
        52.8
        Mock-6h-4_S11_R1_001
        57.2%
        32.6
        67.9%
        52%
        57.1
        Mock-6h-4_S11_R2_001
        64.5%
        52%
        57.1

        featureCounts

        Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

        loading..

        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

        The distribution of fragment sizes (read lengths) found. See the FastQC help.

        loading..

        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.

        96 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.

        No samples found with any adapter contamination > 0.1%