..plots loading..

Highlight Samples

Regex mode off

    Rename Samples

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.


        Choose Plots

        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

        Save Settings

        You can save the toolbox settings for this report to the browser.


        Load Settings

        Choose a saved report profile from the dropdown box below:

        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 2020-12-16, 18:12 based on data in: /beegfs/mk5636/logs/html/HK3TCAFX2/merged


        General Statistics

        Showing 70/70 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HK3TCAFX2_n01_Federica.A7
        5.4%
        39%
        0.5
        HK3TCAFX2_n01_Federica.CSS_parent
        17.5%
        42%
        6.6
        HK3TCAFX2_n01_Federica.F1
        9.3%
        38%
        0.5
        HK3TCAFX2_n01_Federica.Oak
        2.5%
        39%
        0.2
        HK3TCAFX2_n01_Federica.Wine
        3.4%
        40%
        0.3
        HK3TCAFX2_n01_msh3_MA_strain_A12
        10.9%
        39%
        0.9
        HK3TCAFX2_n01_msh3_MA_strain_A13
        10.6%
        40%
        0.9
        HK3TCAFX2_n01_msh3_MA_strain_A14
        17.7%
        39%
        1.0
        HK3TCAFX2_n01_msh3_MA_strain_A15
        12.1%
        40%
        0.6
        HK3TCAFX2_n01_msh3_MA_strain_A16
        21.4%
        38%
        3.1
        HK3TCAFX2_n01_msh3_MA_strain_A18
        16.4%
        36%
        1.3
        HK3TCAFX2_n01_msh3_MA_strain_A19
        17.8%
        38%
        1.7
        HK3TCAFX2_n01_msh3_MA_strain_A20
        19.0%
        37%
        1.7
        HK3TCAFX2_n01_msh3_MA_strain_A21
        11.3%
        39%
        0.9
        HK3TCAFX2_n01_msh3_MA_strain_A22
        13.3%
        39%
        0.8
        HK3TCAFX2_n01_msh3_MA_strain_A23
        13.3%
        38%
        0.9
        HK3TCAFX2_n01_msh3_MA_strain_A24
        12.0%
        40%
        0.7
        HK3TCAFX2_n01_msh3_MA_strain_A25
        20.0%
        38%
        3.3
        HK3TCAFX2_n01_msh3_MA_strain_A26
        15.1%
        37%
        1.1
        HK3TCAFX2_n01_msh3_MA_strain_A27
        18.0%
        37%
        1.5
        HK3TCAFX2_n01_msh3_MA_strain_A28
        12.7%
        39%
        0.8
        HK3TCAFX2_n01_msh3_MA_strain_A29
        13.8%
        37%
        1.1
        HK3TCAFX2_n01_msh3_MA_strain_A30
        15.8%
        37%
        0.6
        HK3TCAFX2_n01_msh3_MA_strain_A31
        14.6%
        38%
        1.3
        HK3TCAFX2_n01_msh3_MA_strain_A32
        15.4%
        38%
        0.6
        HK3TCAFX2_n01_msh3_MA_strain_A33
        21.0%
        37%
        2.5
        HK3TCAFX2_n01_msh3_MA_strain_A34
        13.2%
        38%
        1.4
        HK3TCAFX2_n01_msh3_MA_strain_A35
        18.8%
        36%
        1.4
        HK3TCAFX2_n01_msh3_MA_strain_A36
        16.9%
        38%
        1.8
        HK3TCAFX2_n01_msh3_MA_strain_C3
        11.5%
        39%
        0.5
        HK3TCAFX2_n01_msh3_MA_strain_C4
        14.1%
        38%
        0.6
        HK3TCAFX2_n01_msh3_MA_strain_C5
        16.8%
        37%
        1.1
        HK3TCAFX2_n01_msh3_MA_strain_s.060.3
        10.3%
        39%
        0.4
        HK3TCAFX2_n01_msh3_MA_strain_s.061.2
        18.6%
        36%
        1.8
        HK3TCAFX2_n01_undetermined
        5.8%
        40%
        9.5
        HK3TCAFX2_n02_Federica.A7
        5.2%
        37%
        0.5
        HK3TCAFX2_n02_Federica.CSS_parent
        18.4%
        38%
        6.6
        HK3TCAFX2_n02_Federica.F1
        10.2%
        36%
        0.5
        HK3TCAFX2_n02_Federica.Oak
        2.5%
        37%
        0.2
        HK3TCAFX2_n02_Federica.Wine
        3.2%
        37%
        0.3
        HK3TCAFX2_n02_msh3_MA_strain_A12
        11.6%
        36%
        0.9
        HK3TCAFX2_n02_msh3_MA_strain_A13
        10.7%
        38%
        0.9
        HK3TCAFX2_n02_msh3_MA_strain_A14
        17.7%
        37%
        1.0
        HK3TCAFX2_n02_msh3_MA_strain_A15
        13.1%
        37%
        0.6
        HK3TCAFX2_n02_msh3_MA_strain_A16
        21.8%
        36%
        3.1
        HK3TCAFX2_n02_msh3_MA_strain_A18
        17.3%
        35%
        1.3
        HK3TCAFX2_n02_msh3_MA_strain_A19
        18.9%
        36%
        1.7
        HK3TCAFX2_n02_msh3_MA_strain_A20
        19.4%
        35%
        1.7
        HK3TCAFX2_n02_msh3_MA_strain_A21
        12.6%
        36%
        0.9
        HK3TCAFX2_n02_msh3_MA_strain_A22
        14.3%
        37%
        0.8
        HK3TCAFX2_n02_msh3_MA_strain_A23
        14.1%
        36%
        0.9
        HK3TCAFX2_n02_msh3_MA_strain_A24
        13.6%
        37%
        0.7
        HK3TCAFX2_n02_msh3_MA_strain_A25
        21.2%
        36%
        3.3
        HK3TCAFX2_n02_msh3_MA_strain_A26
        17.0%
        35%
        1.1
        HK3TCAFX2_n02_msh3_MA_strain_A27
        20.3%
        35%
        1.5
        HK3TCAFX2_n02_msh3_MA_strain_A28
        16.5%
        36%
        0.8
        HK3TCAFX2_n02_msh3_MA_strain_A29
        16.1%
        35%
        1.1
        HK3TCAFX2_n02_msh3_MA_strain_A30
        17.5%
        35%
        0.6
        HK3TCAFX2_n02_msh3_MA_strain_A31
        16.3%
        36%
        1.3
        HK3TCAFX2_n02_msh3_MA_strain_A32
        17.9%
        35%
        0.6
        HK3TCAFX2_n02_msh3_MA_strain_A33
        24.3%
        35%
        2.5
        HK3TCAFX2_n02_msh3_MA_strain_A34
        15.2%
        36%
        1.4
        HK3TCAFX2_n02_msh3_MA_strain_A35
        21.6%
        35%
        1.4
        HK3TCAFX2_n02_msh3_MA_strain_A36
        19.2%
        36%
        1.8
        HK3TCAFX2_n02_msh3_MA_strain_C3
        11.4%
        36%
        0.5
        HK3TCAFX2_n02_msh3_MA_strain_C4
        13.7%
        36%
        0.6
        HK3TCAFX2_n02_msh3_MA_strain_C5
        15.9%
        35%
        1.1
        HK3TCAFX2_n02_msh3_MA_strain_s.060.3
        10.2%
        36%
        0.4
        HK3TCAFX2_n02_msh3_MA_strain_s.061.2
        18.4%
        34%
        1.8
        HK3TCAFX2_n02_undetermined
        5.5%
        38%
        9.5

        Demultiplexing Report

        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 35/35 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        9,469,791
        17.6
        msh3_MA_strain_A12
        869,402
        1.6
        msh3_MA_strain_A13
        874,886
        1.6
        msh3_MA_strain_A14
        965,375
        1.8
        msh3_MA_strain_A15
        613,094
        1.1
        msh3_MA_strain_A16
        3,057,656
        5.7
        msh3_MA_strain_A18
        1,319,263
        2.5
        msh3_MA_strain_A19
        1,684,595
        3.1
        msh3_MA_strain_A20
        1,727,853
        3.2
        msh3_MA_strain_A21
        947,918
        1.8
        msh3_MA_strain_A22
        805,431
        1.5
        msh3_MA_strain_A23
        853,087
        1.6
        msh3_MA_strain_A24
        693,304
        1.3
        msh3_MA_strain_A25
        3,295,251
        6.1
        msh3_MA_strain_A26
        1,077,783
        2.0
        msh3_MA_strain_A27
        1,545,259
        2.9
        msh3_MA_strain_A28
        772,969
        1.4
        msh3_MA_strain_A29
        1,142,564
        2.1
        msh3_MA_strain_A30
        641,427
        1.2
        msh3_MA_strain_A31
        1,304,908
        2.4
        msh3_MA_strain_A32
        585,667
        1.1
        msh3_MA_strain_A33
        2,477,208
        4.6
        msh3_MA_strain_A34
        1,408,771
        2.6
        msh3_MA_strain_A35
        1,399,939
        2.6
        msh3_MA_strain_A36
        1,773,658
        3.3
        msh3_MA_strain_C3
        530,633
        1.0
        msh3_MA_strain_C4
        566,521
        1.1
        msh3_MA_strain_C5
        1,086,313
        2.0
        msh3_MA_strain_s.060.3
        415,258
        0.8
        msh3_MA_strain_s.061.2
        1,770,027
        3.3
        Federica.A7
        502,401
        0.9
        Federica.Oak
        201,941
        0.4
        Federica.Wine
        264,121
        0.5
        Federica.CSS_parent
        6,562,032
        12.2
        Federica.F1
        530,256
        1.0

        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 (%)
        GGGGGGGGGGGGGGGG
        45159.0
        0.5
        GGGGGGGGATAGAGAG
        43544.0
        0.5
        GGGGGGGGTCTTACGC
        38180.0
        0.4
        GGGGGGGGAGAGGATA
        36426.0
        0.4
        GGGGGGGGAGATCTCG
        34814.0
        0.4
        GGCCTCCGTCTTACGC
        30057.0
        0.3
        GGCCTCCGTCTACTCT
        25980.0
        0.3
        GGACTCCTGGGGGGGG
        24580.0
        0.3
        GGGGGGGGAGCTCTCG
        24404.0
        0.3
        GGCCTCCGAGAGGATA
        22669.0
        0.2
        GGCCTCCGATAGAGAG
        22060.0
        0.2
        GGGGGGGGTCTACTCT
        21454.0
        0.2
        GGGGGGGGCTCCTTAC
        19557.0
        0.2
        TAAGGCGAGGGGGGGG
        15162.0
        0.2
        CAGCGCGGTCTTACGC
        14882.0
        0.2
        CAGCGCGGATAGAGAG
        13843.0
        0.1
        CGGCAGATTCTACTCT
        13393.0
        0.1
        CAGCGCGGAGAGGATA
        12471.0
        0.1
        GGACTCCTGCGTTCGC
        11639.0
        0.1
        AGGCAGAAGGGGGGGG
        11344.0
        0.1

        Run Statistics

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Sample NameTotal # of Single-End ReadsTotal # PF Reads% Undetermined% PhiX Aligned
        4.0
        260,881,100
        53,736,562
        17.6
        0.1

        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.

        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 (151bp).


        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.

        70 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..