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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 2020-09-17, 04:09 based on data in: /beegfs/mk5636/logs/html/HH7JLAFX2/merged


        General Statistics

        Showing 15/15 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HH7JLAFX2_n01_0909_CD4_CD_high
        99.7%
        49%
        5.7
        HH7JLAFX2_n01_0909_CD4_CD_low
        99.7%
        50%
        9.5
        HH7JLAFX2_n01_0909_CD4_CFSE_high_1
        99.7%
        49%
        4.2
        HH7JLAFX2_n01_0909_CD4_CFSE_high_2
        79.2%
        49%
        0.0
        HH7JLAFX2_n01_0909_CD4_CFSE_low_1
        99.8%
        49%
        6.3
        HH7JLAFX2_n01_0909_CD4_CFSE_low_2
        99.7%
        48%
        6.9
        HH7JLAFX2_n01_0909_CD4_presort
        99.8%
        49%
        10.3
        HH7JLAFX2_n01_0909_CD4_prestim
        99.8%
        48%
        7.1
        HH7JLAFX2_n01_0909_CD8_CD_high
        99.8%
        48%
        9.3
        HH7JLAFX2_n01_0909_CD8_CD_low
        99.7%
        48%
        6.8
        HH7JLAFX2_n01_0909_CD8_CFSE_high
        99.8%
        47%
        6.9
        HH7JLAFX2_n01_0909_CD8_CFSE_low
        99.7%
        48%
        7.5
        HH7JLAFX2_n01_0909_CD8_presort
        99.7%
        48%
        7.6
        HH7JLAFX2_n01_0909_CD8_prestim
        99.7%
        48%
        4.9
        HH7JLAFX2_n01_undetermined
        95.5%
        47%
        12.2

        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 15/15 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        12,168,469
        11.6
        0909_CD4_prestim
        7,085,245
        6.7
        0909_CD8_prestim
        4,853,571
        4.6
        0909_CD4_CFSE_low_1
        6,328,670
        6.0
        0909_CD4_CFSE_high_1
        4,184,160
        4.0
        0909_CD8_CFSE_low
        7,488,876
        7.1
        0909_CD8_CFSE_high
        6,921,229
        6.6
        0909_CD4_CD_low
        9,456,472
        9.0
        0909_CD4_CD_high
        5,719,835
        5.4
        0909_CD8_CD_low
        6,815,745
        6.5
        0909_CD8_CD_high
        9,292,079
        8.8
        0909_CD4_presort
        10,272,233
        9.8
        0909_CD8_presort
        7,604,024
        7.2
        0909_CD4_CFSE_low_2
        6,872,867
        6.5
        0909_CD4_CFSE_high_2
        48.0
        0.0

        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 (%)
        TAACAATGGGGGGGGG
        240711.0
        2.0
        ACGATCGAGGGGGGGG
        176026.0
        1.4
        CGATCGATGGGGGGGG
        171416.0
        1.4
        GATCGATAGGGGGGGG
        168412.0
        1.4
        ATCGATTCGGGGGGGG
        155781.0
        1.3
        GATAGGTCGGGGGGGG
        131071.0
        1.1
        ATACTGTAGGGGGGGG
        127304.0
        1.1
        CGATCGATCATTGTTA
        87244.0
        0.7
        ACGATCGACTTACTTA
        79770.0
        0.7
        GATCGATACCTTACTA
        79323.0
        0.7
        GATCGATACTTACCTA
        76301.0
        0.6
        CGATCGATCCATGTTA
        70809.0
        0.6
        GATCGATACCTACCTA
        69325.0
        0.6
        ATCGATTCCTTACTTA
        56503.0
        0.5
        TAACAATGTGTAACGA
        53159.0
        0.4
        ACGATCGACCTACTTA
        49474.0
        0.4
        ACGATCGACTCACTTA
        48175.0
        0.4
        ATACTGTAACAAGGAA
        46746.0
        0.4
        CGATCGATCCATTTTA
        41849.0
        0.3
        GATAGGTCAATCGTTA
        39682.0
        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
        116,582,140
        105,063,523
        11.6
        6.4

        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 (151bp).


        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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