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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 2020-10-06, 17:10 based on data in: /beegfs/mk5636/logs/html/000000000-J3223/1

        General Statistics

        Showing 18/18 rows and 4/5 columns.
        Sample Name% Dups% GCLengthM Seqs
        000000000-J3223_l01_n01_JRS_020_C8A
        86.5%
        45%
        28
        0.6
        000000000-J3223_l01_n01_JRS_020_C8C
        87.1%
        45%
        28
        0.7
        000000000-J3223_l01_n01_JRS_020_C8G
        84.0%
        45%
        28
        0.5
        000000000-J3223_l01_n01_JRS_020_C8T
        84.9%
        45%
        28
        0.5
        000000000-J3223_l01_n01_JRS_020_C9A
        96.0%
        46%
        28
        1.0
        000000000-J3223_l01_n01_JRS_020_C9C
        95.5%
        46%
        28
        0.8
        000000000-J3223_l01_n01_JRS_020_C9G
        95.7%
        46%
        28
        0.8
        000000000-J3223_l01_n01_JRS_020_C9T
        95.8%
        46%
        28
        0.7
        000000000-J3223_l01_n01_undetermined
        95.7%
        44%
        28
        2.1
        000000000-J3223_l01_n02_JRS_020_C8A
        92.1%
        42%
        287
        0.6
        000000000-J3223_l01_n02_JRS_020_C8C
        90.7%
        42%
        287
        0.7
        000000000-J3223_l01_n02_JRS_020_C8G
        89.7%
        43%
        287
        0.5
        000000000-J3223_l01_n02_JRS_020_C8T
        87.6%
        42%
        287
        0.5
        000000000-J3223_l01_n02_JRS_020_C9A
        97.1%
        50%
        287
        1.0
        000000000-J3223_l01_n02_JRS_020_C9C
        97.5%
        50%
        287
        0.8
        000000000-J3223_l01_n02_JRS_020_C9G
        97.3%
        50%
        287
        0.8
        000000000-J3223_l01_n02_JRS_020_C9T
        97.3%
        50%
        287
        0.7
        000000000-J3223_l01_n02_undetermined
        93.1%
        44%
        287
        2.1

        Lane 1 Demultiplexing Report

        Lane 1 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

        Showing 9/9 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        2,140,957
        27.7
        JRS_020_C8A
        649,294
        8.4
        JRS_020_C8T
        451,840
        5.9
        JRS_020_C8C
        661,746
        8.6
        JRS_020_C8G
        463,013
        6.0
        JRS_020_C9A
        1,043,801
        13.5
        JRS_020_C9T
        739,920
        9.6
        JRS_020_C9C
        756,318
        9.8
        JRS_020_C9G
        808,828
        10.5

        Barcodes of Undetermined Reads

        Barcodes of Undetermined Reads
        We have determined the barcodes of your undetermined reads (reads containing a barcode that you did not encode in your metadata). Here are the top 20 barcodes belonging to the undetermined reads. The full list is available here.

        Showing 20/20 rows and 2/2 columns.
        Sample NameCountFrequency (%)
        CCCTCTCT
        37333.0
        1.7
        CTCTCTCT
        28944.0
        1.4
        TCTCTTCC
        25922.0
        1.2
        TTTTCCTC
        20852.0
        1.0
        CTCCTCTT
        17801.0
        0.8
        CCCTATCT
        12991.0
        0.6
        CTCTATCT
        12484.0
        0.6
        CCCCTTTC
        10337.0
        0.5
        TTTCTCCC
        10064.0
        0.5
        TTCTCTCT
        9556.0
        0.5
        TCCTCTCT
        8598.0
        0.4
        TTTTCCTA
        8053.0
        0.4
        TTCTATCT
        7863.0
        0.4
        TCCTATCT
        6960.0
        0.3
        TTTTCCTT
        6570.0
        0.3
        ACCTCTCT
        5927.0
        0.3
        TCCCATCT
        5436.0
        0.2
        TTTTTTTT
        5230.0
        0.2
        CTCCTATT
        5189.0
        0.2
        TTCCATCT
        4570.0
        0.2

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 4/4 columns.
        Sample NameTotal # of Single-End ReadsTotal # PF Reads% Undetermined% PhiX Aligned
        1.0
        7,901,934
        7,715,717
        27.8
        29.6

        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.

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        Per Base N Content

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

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        Sequence Length Distribution

        All samples have sequences of a single length (28bp , 287bp). See the General Statistics Table.

        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.

        loading..

        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.

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        MultiQC v1.0.dev0 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.