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        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.


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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 2019-09-27, 09:09 based on data in: /beegfs/mk5636/logs/html/000000000-D798V/1


        General Statistics

        Showing 90/90 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        000000000-D798V_l01_n01_ms_CEP350_G1wt
        98.5%
        51%
        0.0
        000000000-D798V_l01_n01_ms_CEP350_G2mut
        97.9%
        50%
        0.0
        000000000-D798V_l01_n01_ms_CEP350_NT
        97.2%
        50%
        0.0
        000000000-D798V_l01_n01_ms_CEP350_WT
        97.6%
        50%
        0.0
        000000000-D798V_l01_n01_ms_DENND5A_G1wt
        96.1%
        52%
        0.0
        000000000-D798V_l01_n01_ms_DENND5A_G2mut
        96.1%
        52%
        0.0
        000000000-D798V_l01_n01_ms_DENND5A_NT
        95.6%
        52%
        0.0
        000000000-D798V_l01_n01_ms_DENND5A_WT
        96.1%
        52%
        0.0
        000000000-D798V_l01_n01_ms_DISL3_G1wt
        97.1%
        46%
        0.0
        000000000-D798V_l01_n01_ms_DISL3_G2mut
        97.0%
        46%
        0.0
        000000000-D798V_l01_n01_ms_DISL3_NT
        97.8%
        46%
        0.0
        000000000-D798V_l01_n01_ms_DISL3_WT
        97.4%
        46%
        0.0
        000000000-D798V_l01_n01_ms_FNDC3A_G1wt
        97.6%
        41%
        0.0
        000000000-D798V_l01_n01_ms_FNDC3A_G2mut
        98.6%
        40%
        0.0
        000000000-D798V_l01_n01_ms_FNDC3A_NT
        97.9%
        40%
        0.0
        000000000-D798V_l01_n01_ms_FNDC3A_WT
        98.8%
        40%
        0.0
        000000000-D798V_l01_n01_ms_HEATR1_G1wt
        97.6%
        47%
        0.0
        000000000-D798V_l01_n01_ms_HEATR1_G2mut
        97.5%
        46%
        0.0
        000000000-D798V_l01_n01_ms_HEATR1_NT
        97.0%
        46%
        0.0
        000000000-D798V_l01_n01_ms_HEATR1_WT
        97.7%
        46%
        0.0
        000000000-D798V_l01_n01_ms_IMMT_G1wt
        98.5%
        43%
        0.0
        000000000-D798V_l01_n01_ms_IMMT_G2mut
        96.4%
        44%
        0.0
        000000000-D798V_l01_n01_ms_IMMT_NT
        98.5%
        43%
        0.0
        000000000-D798V_l01_n01_ms_IMMT_WT
        99.1%
        43%
        0.0
        000000000-D798V_l01_n01_ms_NSFL1C_G1wt
        96.9%
        48%
        0.0
        000000000-D798V_l01_n01_ms_NSFL1C_G2mut
        97.4%
        48%
        0.0
        000000000-D798V_l01_n01_ms_NSFL1C_NT
        97.4%
        48%
        0.0
        000000000-D798V_l01_n01_ms_NSFL1C_WT
        95.5%
        47%
        0.0
        000000000-D798V_l01_n01_ms_PIK3C2_G1wt
        98.5%
        41%
        0.0
        000000000-D798V_l01_n01_ms_PIK3C2_G2mut
        98.7%
        41%
        0.0
        000000000-D798V_l01_n01_ms_PIK3C2_NT
        98.4%
        41%
        0.0
        000000000-D798V_l01_n01_ms_PIK3C2_WT
        98.6%
        41%
        0.0
        000000000-D798V_l01_n01_ms_QSER1_G1wt
        97.8%
        43%
        0.0
        000000000-D798V_l01_n01_ms_QSER1_G2mut
        92.5%
        43%
        0.0
        000000000-D798V_l01_n01_ms_QSER1_NT
        97.8%
        43%
        0.0
        000000000-D798V_l01_n01_ms_QSER1_WT
        97.9%
        43%
        0.0
        000000000-D798V_l01_n01_ms_RAB3GAP1_G1wt
        98.4%
        44%
        0.0
        000000000-D798V_l01_n01_ms_RAB3GAP1_G2mut
        97.8%
        44%
        0.0
        000000000-D798V_l01_n01_ms_RAB3GAP1_NT
        97.8%
        44%
        0.0
        000000000-D798V_l01_n01_ms_RAB3GAP1_WT
        98.2%
        44%
        0.0
        000000000-D798V_l01_n01_ms_RNPEP_G1wt
        98.5%
        51%
        0.0
        000000000-D798V_l01_n01_ms_RNPEP_G2mut
        98.2%
        51%
        0.0
        000000000-D798V_l01_n01_ms_RNPEP_NT
        98.6%
        51%
        0.0
        000000000-D798V_l01_n01_ms_RNPEP_WT
        98.5%
        51%
        0.0
        000000000-D798V_l01_n01_undetermined
        78.0%
        49%
        0.1
        000000000-D798V_l01_n02_ms_CEP350_G1wt
        98.4%
        49%
        0.0
        000000000-D798V_l01_n02_ms_CEP350_G2mut
        97.4%
        50%
        0.0
        000000000-D798V_l01_n02_ms_CEP350_NT
        97.0%
        50%
        0.0
        000000000-D798V_l01_n02_ms_CEP350_WT
        97.0%
        51%
        0.0
        000000000-D798V_l01_n02_ms_DENND5A_G1wt
        94.8%
        49%
        0.0
        000000000-D798V_l01_n02_ms_DENND5A_G2mut
        94.8%
        50%
        0.0
        000000000-D798V_l01_n02_ms_DENND5A_NT
        93.9%
        51%
        0.0
        000000000-D798V_l01_n02_ms_DENND5A_WT
        94.7%
        51%
        0.0
        000000000-D798V_l01_n02_ms_DISL3_G1wt
        97.0%
        45%
        0.0
        000000000-D798V_l01_n02_ms_DISL3_G2mut
        96.8%
        46%
        0.0
        000000000-D798V_l01_n02_ms_DISL3_NT
        97.6%
        46%
        0.0
        000000000-D798V_l01_n02_ms_DISL3_WT
        97.2%
        46%
        0.0
        000000000-D798V_l01_n02_ms_FNDC3A_G1wt
        97.7%
        40%
        0.0
        000000000-D798V_l01_n02_ms_FNDC3A_G2mut
        98.5%
        40%
        0.0
        000000000-D798V_l01_n02_ms_FNDC3A_NT
        97.7%
        40%
        0.0
        000000000-D798V_l01_n02_ms_FNDC3A_WT
        98.5%
        40%
        0.0
        000000000-D798V_l01_n02_ms_HEATR1_G1wt
        97.7%
        47%
        0.0
        000000000-D798V_l01_n02_ms_HEATR1_G2mut
        97.3%
        46%
        0.0
        000000000-D798V_l01_n02_ms_HEATR1_NT
        97.4%
        47%
        0.0
        000000000-D798V_l01_n02_ms_HEATR1_WT
        97.9%
        47%
        0.0
        000000000-D798V_l01_n02_ms_IMMT_G1wt
        98.5%
        43%
        0.0
        000000000-D798V_l01_n02_ms_IMMT_G2mut
        96.3%
        44%
        0.0
        000000000-D798V_l01_n02_ms_IMMT_NT
        98.3%
        43%
        0.0
        000000000-D798V_l01_n02_ms_IMMT_WT
        99.0%
        43%
        0.0
        000000000-D798V_l01_n02_ms_NSFL1C_G1wt
        93.8%
        47%
        0.0
        000000000-D798V_l01_n02_ms_NSFL1C_G2mut
        94.0%
        48%
        0.0
        000000000-D798V_l01_n02_ms_NSFL1C_NT
        94.5%
        47%
        0.0
        000000000-D798V_l01_n02_ms_NSFL1C_WT
        92.6%
        48%
        0.0
        000000000-D798V_l01_n02_ms_PIK3C2_G1wt
        97.8%
        42%
        0.0
        000000000-D798V_l01_n02_ms_PIK3C2_G2mut
        97.8%
        43%
        0.0
        000000000-D798V_l01_n02_ms_PIK3C2_NT
        97.8%
        43%
        0.0
        000000000-D798V_l01_n02_ms_PIK3C2_WT
        97.9%
        43%
        0.0
        000000000-D798V_l01_n02_ms_QSER1_G1wt
        93.5%
        41%
        0.0
        000000000-D798V_l01_n02_ms_QSER1_G2mut
        88.0%
        42%
        0.0
        000000000-D798V_l01_n02_ms_QSER1_NT
        93.7%
        42%
        0.0
        000000000-D798V_l01_n02_ms_QSER1_WT
        93.5%
        43%
        0.0
        000000000-D798V_l01_n02_ms_RAB3GAP1_G1wt
        98.2%
        44%
        0.0
        000000000-D798V_l01_n02_ms_RAB3GAP1_G2mut
        97.6%
        44%
        0.0
        000000000-D798V_l01_n02_ms_RAB3GAP1_NT
        97.9%
        44%
        0.0
        000000000-D798V_l01_n02_ms_RAB3GAP1_WT
        98.0%
        44%
        0.0
        000000000-D798V_l01_n02_ms_RNPEP_G1wt
        97.6%
        51%
        0.0
        000000000-D798V_l01_n02_ms_RNPEP_G2mut
        97.4%
        51%
        0.0
        000000000-D798V_l01_n02_ms_RNPEP_NT
        97.7%
        51%
        0.0
        000000000-D798V_l01_n02_ms_RNPEP_WT
        97.3%
        51%
        0.0
        000000000-D798V_l01_n02_undetermined
        69.9%
        46%
        0.1

        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 45/45 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        68,724
        8.0
        ms_DISL3_G1wt
        31,540
        3.6
        ms_RAB3GAP1_G1wt
        16,055
        1.9
        ms_HEATR1_G1wt
        10,547
        1.2
        ms_FNDC3A_G1wt
        43,848
        5.1
        ms_PIK3C2_G1wt
        26,359
        3.0
        ms_IMMT_G1wt
        19,123
        2.2
        ms_NSFL1C_G1wt
        19,557
        2.3
        ms_RNPEP_G1wt
        16,981
        2.0
        ms_CEP350_G1wt
        17,530
        2.0
        ms_QSER1_G1wt
        15,467
        1.8
        ms_DENND5A_G1wt
        14,252
        1.6
        ms_DISL3_G2mut
        25,400
        2.9
        ms_RAB3GAP1_G2mut
        16,001
        1.9
        ms_HEATR1_G2mut
        11,881
        1.4
        ms_FNDC3A_G2mut
        22,401
        2.6
        ms_PIK3C2_G2mut
        24,197
        2.8
        ms_IMMT_G2mut
        26,541
        3.1
        ms_NSFL1C_G2mut
        22,920
        2.7
        ms_RNPEP_G2mut
        12,062
        1.4
        ms_CEP350_G2mut
        17,469
        2.0
        ms_QSER1_G2mut
        42,783
        4.9
        ms_DENND5A_G2mut
        18,795
        2.2
        ms_DISL3_NT
        19,589
        2.3
        ms_RAB3GAP1_NT
        11,344
        1.3
        ms_HEATR1_NT
        7,457
        0.9
        ms_FNDC3A_NT
        10,459
        1.2
        ms_PIK3C2_NT
        23,753
        2.7
        ms_IMMT_NT
        10,100
        1.2
        ms_NSFL1C_NT
        7,066
        0.8
        ms_RNPEP_NT
        19,159
        2.2
        ms_CEP350_NT
        10,251
        1.2
        ms_QSER1_NT
        16,389
        1.9
        ms_DENND5A_NT
        11,097
        1.3
        ms_DISL3_WT
        21,566
        2.5
        ms_RAB3GAP1_WT
        8,952
        1.0
        ms_HEATR1_WT
        10,543
        1.2
        ms_FNDC3A_WT
        16,983
        2.0
        ms_PIK3C2_WT
        23,608
        2.7
        ms_IMMT_WT
        30,675
        3.5
        ms_NSFL1C_WT
        7,598
        0.9
        ms_RNPEP_WT
        12,980
        1.5
        ms_CEP350_WT
        11,973
        1.4
        ms_QSER1_WT
        17,514
        2.0
        ms_DENND5A_WT
        14,966
        1.7

        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 (%)
        CTGAGCTAATAGAGGC
        533.0
        0.8
        CTGAGCTATATAGCCT
        477.0
        0.7
        CTGAACTATATAGCCT
        392.0
        0.6
        CTGAACTAATAGAGGC
        383.0
        0.6
        CGGCTAGATATAGCCT
        344.0
        0.5
        CTTCCTCTTCTTTCCC
        341.0
        0.5
        CGGCTAGAATAGAGGC
        330.0
        0.5
        ATTACTCGTCTTTCCC
        320.0
        0.5
        TCCGCGAATCTTTCCC
        311.0
        0.5
        TATGCGCACCTATCCT
        273.0
        0.4
        GAGATTCCTCTTTCCC
        269.0
        0.4
        TCCTTCTCTCTTTCCC
        246.0
        0.4
        CGGCTAGAGGCTCTGA
        244.0
        0.3
        TATGCGCATATAGCCT
        243.0
        0.3
        TAAGCGCACCTATCCT
        235.0
        0.3
        GAATTCGTTCTTTCCC
        230.0
        0.3
        GGGGGGGGGGGGGGGG
        230.0
        0.3
        TGAAGCTAATAGAGGC
        224.0
        0.3
        CGGCTAGACCTATCCT
        222.0
        0.3
        GGCTATGATATAGCCT
        216.0
        0.3

        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
        917,373
        864,455
        8.0
        3.2

        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 (131bp).


        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.

        loading..