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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 2020-12-21, 01:12 based on data in: /beegfs/mk5636/logs/html/HV33TBGXG/merged


        General Statistics

        Showing 25/25 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HV33TBGXG_n01_AKM158
        31.4%
        39%
        15.4
        HV33TBGXG_n01_AKM159
        33.8%
        45%
        17.6
        HV33TBGXG_n01_AKM160
        22.0%
        39%
        12.8
        HV33TBGXG_n01_AKM161
        29.2%
        41%
        11.6
        HV33TBGXG_n01_AKM164
        19.9%
        38%
        14.2
        HV33TBGXG_n01_AKM165
        17.0%
        38%
        13.7
        HV33TBGXG_n01_AKM166
        27.1%
        38%
        15.0
        HV33TBGXG_n01_AKM167
        26.4%
        41%
        15.8
        HV33TBGXG_n01_AKM168
        24.6%
        40%
        20.0
        HV33TBGXG_n01_AKM169
        22.6%
        41%
        18.1
        HV33TBGXG_n01_AKM170
        26.5%
        42%
        16.7
        HV33TBGXG_n01_AKM171
        32.3%
        40%
        16.9
        HV33TBGXG_n01_AKM172
        19.1%
        39%
        14.7
        HV33TBGXG_n01_AKM173
        16.4%
        38%
        13.6
        HV33TBGXG_n01_AKM174
        18.3%
        51%
        13.3
        HV33TBGXG_n01_AKM175
        24.9%
        55%
        14.1
        HV33TBGXG_n01_AKM176
        12.5%
        38%
        13.4
        HV33TBGXG_n01_AKM177
        13.5%
        38%
        13.4
        HV33TBGXG_n01_AKM178
        15.5%
        38%
        15.6
        HV33TBGXG_n01_AKM179
        13.4%
        38%
        12.9
        HV33TBGXG_n01_AKM180
        14.2%
        38%
        15.2
        HV33TBGXG_n01_AKM181
        15.9%
        39%
        16.0
        HV33TBGXG_n01_AKM182
        16.6%
        38%
        14.6
        HV33TBGXG_n01_AKM183
        14.8%
        39%
        15.2
        HV33TBGXG_n01_undetermined
        80.0%
        44%
        31.0

        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 25/25 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        30,977,507
        7.9
        AKM158
        15,446,318
        4.0
        AKM159
        17,578,933
        4.5
        AKM160
        12,816,130
        3.3
        AKM161
        11,578,980
        3.0
        AKM164
        14,151,445
        3.6
        AKM165
        13,675,704
        3.5
        AKM166
        14,959,222
        3.8
        AKM167
        15,806,633
        4.0
        AKM168
        19,987,277
        5.1
        AKM169
        18,098,104
        4.6
        AKM170
        16,667,899
        4.3
        AKM171
        16,879,464
        4.3
        AKM172
        14,656,615
        3.8
        AKM173
        13,581,892
        3.5
        AKM174
        13,262,696
        3.4
        AKM175
        14,094,149
        3.6
        AKM176
        13,422,235
        3.4
        AKM177
        13,427,229
        3.4
        AKM178
        15,583,640
        4.0
        AKM179
        12,909,619
        3.3
        AKM180
        15,202,683
        3.9
        AKM181
        16,036,178
        4.1
        AKM182
        14,614,621
        3.7
        AKM183
        15,230,868
        3.9

        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 (%)
        GGGGGG
        26692952.0
        86.2
        GGGGGT
        63279.0
        0.2
        GGGGGC
        50175.0
        0.2
        GGGGCG
        40907.0
        0.1
        CCCGTC
        39714.0
        0.1
        CCGATG
        34190.0
        0.1
        GTGGGG
        32788.0
        0.1
        GGGCCC
        30829.0
        0.1
        AATAAA
        29248.0
        0.1
        GTCCCG
        29090.0
        0.1
        NNNNNN
        28776.0
        0.1
        CAGTCA
        27574.0
        0.1
        CGATCA
        27510.0
        0.1
        AATCAT
        27132.0
        0.1
        GGTGGT
        26608.0
        0.1
        CCTTGT
        25562.0
        0.1
        AGATCA
        25086.0
        0.1
        GGGCGG
        25025.0
        0.1
        GCGGGG
        24974.0
        0.1
        GGTGGG
        22794.0
        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
        421,971,808
        390,646,041
        7.9
        6.0

        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.

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        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.

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        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 (76bp).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence. See the FastQC help.

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        Overrepresented sequences

        The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

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        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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