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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 2020-08-31, 22:08 based on data in: /beegfs/mk5636/logs/html/H5CCJBGXG/merged


        General Statistics

        Showing 24/24 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        H5CCJBGXG_n01_AKM100
        20.5%
        37%
        14.8
        H5CCJBGXG_n01_AKM101
        19.6%
        38%
        15.4
        H5CCJBGXG_n01_AKM102
        26.0%
        39%
        16.0
        H5CCJBGXG_n01_AKM103
        25.6%
        39%
        19.0
        H5CCJBGXG_n01_AKM104
        21.6%
        38%
        16.3
        H5CCJBGXG_n01_AKM105
        20.9%
        36%
        13.8
        H5CCJBGXG_n01_AKM106
        19.8%
        37%
        17.5
        H5CCJBGXG_n01_AKM107
        16.8%
        37%
        16.2
        H5CCJBGXG_n01_AKM108
        23.3%
        38%
        16.2
        H5CCJBGXG_n01_AKM109
        21.5%
        38%
        17.4
        H5CCJBGXG_n01_AKM110
        22.7%
        38%
        17.7
        H5CCJBGXG_n01_AKM111
        13.2%
        37%
        15.6
        H5CCJBGXG_n01_AKM112
        14.2%
        38%
        17.4
        H5CCJBGXG_n01_AKM113
        13.4%
        37%
        17.5
        H5CCJBGXG_n01_AKM91
        13.6%
        38%
        15.2
        H5CCJBGXG_n01_AKM92
        11.6%
        38%
        15.4
        H5CCJBGXG_n01_AKM93
        9.2%
        38%
        13.0
        H5CCJBGXG_n01_AKM94
        10.3%
        38%
        16.1
        H5CCJBGXG_n01_AKM95
        11.9%
        38%
        14.7
        H5CCJBGXG_n01_AKM96
        11.1%
        38%
        16.3
        H5CCJBGXG_n01_AKM97
        13.7%
        38%
        16.0
        H5CCJBGXG_n01_AKM98
        18.3%
        40%
        16.0
        H5CCJBGXG_n01_AKM99
        26.3%
        39%
        16.0
        H5CCJBGXG_n01_undetermined
        12.5%
        37%
        7.3

        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 24/24 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        7,254,027
        1.9
        AKM91
        15,189,243
        4.0
        AKM92
        15,403,662
        4.1
        AKM93
        12,973,038
        3.4
        AKM94
        16,149,551
        4.3
        AKM95
        14,683,588
        3.9
        AKM96
        16,349,261
        4.3
        AKM97
        15,990,833
        4.2
        AKM98
        15,997,017
        4.2
        AKM99
        16,038,814
        4.3
        AKM100
        14,791,055
        3.9
        AKM101
        15,362,045
        4.1
        AKM102
        15,981,996
        4.2
        AKM103
        19,023,641
        5.0
        AKM104
        16,288,231
        4.3
        AKM105
        13,801,292
        3.7
        AKM106
        17,462,117
        4.6
        AKM107
        16,197,383
        4.3
        AKM108
        16,193,821
        4.3
        AKM109
        17,374,353
        4.6
        AKM110
        17,673,881
        4.7
        AKM111
        15,609,166
        4.1
        AKM112
        17,407,223
        4.6
        AKM113
        17,538,842
        4.7

        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
        3098402.0
        42.7
        NNNNNN
        256255.0
        3.5
        GGGGGT
        57654.0
        0.8
        CCCGTC
        49531.0
        0.7
        GGGGGC
        43066.0
        0.6
        GGGCCC
        38639.0
        0.5
        CAGTCA
        35300.0
        0.5
        GTCCCG
        32382.0
        0.5
        GGCCAA
        32028.0
        0.4
        GGGGTA
        29845.0
        0.4
        GTGGGG
        28375.0
        0.4
        GGGGGA
        28005.0
        0.4
        CCGATG
        27404.0
        0.4
        GTTCGG
        25226.0
        0.3
        AATAAA
        25052.0
        0.3
        GGGGCG
        24817.0
        0.3
        AGATCA
        24750.0
        0.3
        CCTTGT
        24345.0
        0.3
        CGATCA
        24254.0
        0.3
        GGGGTG
        23353.0
        0.3

        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
        403,665,016
        376,734,080
        1.9
        0.0

        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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