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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

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

        Report generated on 2023-05-23, 14:05 based on data in: /mainfs/scratch/cmp1g20/RMS_resistance_data/LUCILES_DATA/FASTQC


        General Statistics

        Showing 72/72 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        RH4ctrl_1_1
        66.1%
        49%
        70.4
        RH4ctrl_1_2
        65.5%
        50%
        70.4
        RH4ctrl_2_1
        66.5%
        49%
        67.9
        RH4ctrl_2_2
        45.2%
        50%
        67.9
        RH4ctrl_3_1
        63.9%
        49%
        55.1
        RH4ctrl_3_2
        45.3%
        50%
        55.1
        RH4ctrl_4_1
        65.2%
        49%
        61.7
        RH4ctrl_4_2
        45.8%
        50%
        61.7
        RH4ctrl_5_1
        63.1%
        49%
        47.7
        RH4ctrl_5_2
        45.6%
        50%
        47.7
        RH4ctrl_6_1
        64.0%
        50%
        56.1
        RH4ctrl_6_2
        48.0%
        50%
        56.1
        RH4ifo_1_1
        62.3%
        49%
        49.3
        RH4ifo_1_2
        47.4%
        50%
        49.3
        RH4ifo_2_1
        62.8%
        49%
        49.4
        RH4ifo_2_2
        48.6%
        50%
        49.4
        RH4ifo_3_1
        65.7%
        50%
        56.3
        RH4ifo_3_2
        49.0%
        51%
        56.3
        RH4ifo_4_1
        59.5%
        50%
        41.4
        RH4ifo_4_2
        46.0%
        50%
        41.4
        RH4ifo_5_1
        63.4%
        49%
        55.7
        RH4ifo_5_2
        46.9%
        50%
        55.7
        RH4ifo_6_1
        63.3%
        50%
        53.9
        RH4ifo_6_2
        48.4%
        50%
        53.9
        RH4vcr_1_1
        61.7%
        49%
        53.6
        RH4vcr_1_2
        46.7%
        50%
        53.6
        RH4vcr_2_1
        60.3%
        50%
        44.4
        RH4vcr_2_2
        45.9%
        50%
        44.4
        RH4vcr_3_1
        61.3%
        49%
        44.8
        RH4vcr_3_2
        46.3%
        50%
        44.8
        RH4vcr_4_1
        61.5%
        49%
        51.0
        RH4vcr_4_2
        60.1%
        50%
        51.0
        RH4vcr_5_1
        58.9%
        50%
        40.6
        RH4vcr_5_2
        45.3%
        50%
        40.6
        RH4vcr_6_1
        64.1%
        50%
        54.5
        RH4vcr_6_2
        48.7%
        51%
        54.5
        RMSYMctrl_1_1
        66.1%
        49%
        48.2
        RMSYMctrl_1_2
        46.9%
        50%
        48.2
        RMSYMctrl_2_1
        64.6%
        49%
        46.2
        RMSYMctrl_2_2
        48.8%
        50%
        46.2
        RMSYMctrl_3_1
        65.0%
        49%
        50.4
        RMSYMctrl_3_2
        50.6%
        50%
        50.4
        RMSYMctrl_4_1
        65.6%
        50%
        53.0
        RMSYMctrl_4_2
        49.0%
        50%
        53.0
        RMSYMctrl_5_1
        69.3%
        50%
        52.0
        RMSYMctrl_5_2
        49.7%
        51%
        52.0
        RMSYMctrl_6_1
        65.2%
        49%
        50.9
        RMSYMctrl_6_2
        50.1%
        50%
        50.9
        RMSYMifo_1_1
        65.8%
        49%
        53.6
        RMSYMifo_1_2
        64.3%
        50%
        53.6
        RMSYMifo_2_1
        65.8%
        49%
        52.3
        RMSYMifo_2_2
        62.6%
        50%
        52.3
        RMSYMifo_3_1
        67.3%
        49%
        53.1
        RMSYMifo_3_2
        66.6%
        50%
        53.1
        RMSYMifo_4_1
        66.4%
        50%
        53.3
        RMSYMifo_4_2
        66.1%
        50%
        53.3
        RMSYMifo_5_1
        66.2%
        49%
        53.6
        RMSYMifo_5_2
        65.8%
        50%
        53.6
        RMSYMifo_6_1
        67.8%
        50%
        51.2
        RMSYMifo_6_2
        66.1%
        51%
        51.2
        RMSYMvcr_1_1
        68.3%
        50%
        58.2
        RMSYMvcr_1_2
        50.6%
        50%
        58.2
        RMSYMvcr_2_1
        67.7%
        49%
        54.5
        RMSYMvcr_2_2
        50.0%
        50%
        54.5
        RMSYMvcr_3_1
        66.3%
        49%
        55.1
        RMSYMvcr_3_2
        50.0%
        50%
        55.1
        RMSYMvcr_4_1
        66.1%
        49%
        56.6
        RMSYMvcr_4_2
        48.9%
        50%
        56.6
        RMSYMvcr_5_1
        66.5%
        49%
        45.3
        RMSYMvcr_5_2
        49.8%
        50%
        45.3
        RMSYMvcr_6_1
        63.7%
        50%
        43.3
        RMSYMvcr_6_2
        62.6%
        50%
        43.3

        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 (150bp).


        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.

        72 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..