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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 2019-06-13, 23:06 based on data in: /beegfs/mk5636/logs/html/HHJHWBGXB/merged


        General Statistics

        Showing 21/21 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HHJHWBGXB_n01_5958-GRChip
        46.1%
        49%
        23.6
        HHJHWBGXB_n01_5958-GRInput
        50.0%
        47%
        18.1
        HHJHWBGXB_n01_5958-StrepChip
        21.0%
        46%
        30.7
        HHJHWBGXB_n01_5958-StrepInput
        55.4%
        45%
        35.2
        HHJHWBGXB_n01_6679-GRChip
        44.9%
        49%
        24.0
        HHJHWBGXB_n01_6679-GRInput
        55.4%
        48%
        17.2
        HHJHWBGXB_n01_6679-StrepChip
        19.5%
        46%
        26.3
        HHJHWBGXB_n01_6679-StrepInput
        57.4%
        45%
        34.3
        HHJHWBGXB_n01_GFPGR-GRChip
        47.0%
        49%
        25.4
        HHJHWBGXB_n01_GFPGR-GRInput
        51.2%
        47%
        26.4
        HHJHWBGXB_n01_GFPStrep-StrepChip
        20.6%
        46%
        31.1
        HHJHWBGXB_n01_GFPStrep-StrepInput
        61.3%
        44%
        32.9
        HHJHWBGXB_n01_GIF1-GRChip
        29.6%
        50%
        26.6
        HHJHWBGXB_n01_GIF1-GRInput
        58.2%
        47%
        25.3
        HHJHWBGXB_n01_GIF1-StrepChip
        20.9%
        45%
        30.3
        HHJHWBGXB_n01_GIF1-StrepInput
        58.1%
        44%
        26.5
        HHJHWBGXB_n01_KN1-GRChip
        49.5%
        50%
        28.3
        HHJHWBGXB_n01_KN1-GRInput
        64.4%
        48%
        26.7
        HHJHWBGXB_n01_KN1-StrepChip
        20.3%
        46%
        29.6
        HHJHWBGXB_n01_KN1-StrepInput
        68.3%
        45%
        32.1
        HHJHWBGXB_n01_undetermined
        63.2%
        45%
        20.4

        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 21/21 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        20,389,504
        3.6
        GFPGR-GRChip
        25,405,025
        4.4
        GIF1-GRChip
        26,595,060
        4.7
        KN1-GRChip
        28,255,473
        4.9
        5958-GRChip
        23,628,968
        4.1
        6679-GRChip
        24,043,261
        4.2
        GFPGR-GRInput
        26,424,190
        4.6
        GIF1-GRInput
        25,306,155
        4.4
        KN1-GRInput
        26,665,279
        4.7
        5958-GRInput
        18,092,406
        3.2
        6679-GRInput
        17,183,254
        3.0
        GFPStrep-StrepChip
        31,061,162
        5.4
        GIF1-StrepChip
        30,302,951
        5.3
        KN1-StrepChip
        29,642,251
        5.2
        5958-StrepChip
        30,719,516
        5.4
        6679-StrepChip
        26,283,585
        4.6
        GFPStrep-StrepInput
        32,939,590
        5.8
        GIF1-StrepInput
        26,464,587
        4.6
        KN1-StrepInput
        32,089,408
        5.6
        5958-StrepInput
        35,234,923
        6.2
        6679-StrepInput
        34,295,239
        6.0

        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 (%)
        GGGGGG
        14611600.0
        71.7
        GGGGCG
        121886.0
        0.6
        GGGGGC
        121060.0
        0.6
        GTGGGG
        118673.0
        0.6
        GGGCGG
        94937.0
        0.5
        GCGGGG
        91839.0
        0.5
        AATCAT
        76002.0
        0.4
        ATTACA
        70174.0
        0.3
        GTTCGG
        63861.0
        0.3
        GGTGGG
        59660.0
        0.3
        AAAAAT
        53441.0
        0.3
        CGGGGG
        52545.0
        0.3
        AAAAAA
        51930.0
        0.2
        CAAAGA
        51095.0
        0.2
        AAACAA
        48922.0
        0.2
        AGGGGG
        42908.0
        0.2
        ATCCTT
        41092.0
        0.2
        ATTACC
        37567.0
        0.2
        TGGGGG
        37147.0
        0.2
        GGTCGG
        33799.0
        0.2

        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
        662,033,088
        571,021,787
        3.6
        1.6

        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.

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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.

        21 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.

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