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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.

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        Report generated on 2017-10-24, 22:10 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/C8R14ACXX/6


        General Statistics

        Showing 12/12 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        C8R14ACXX_l06n01_lib_f1.351000000a1e2e
        43.3%
        46%
        11.1
        C8R14ACXX_l06n01_lib_f10.351000000a2277
        51.8%
        45%
        15.6
        C8R14ACXX_l06n01_lib_f11.351000000a2319
        40.9%
        46%
        11.5
        C8R14ACXX_l06n01_lib_f12.351000000a2376
        47.0%
        47%
        18.2
        C8R14ACXX_l06n01_lib_f2.351000000a1e98
        49.1%
        47%
        10.6
        C8R14ACXX_l06n01_lib_f3.351000000a1ee8
        47.2%
        47%
        12.1
        C8R14ACXX_l06n01_lib_f4.351000000a1f7d
        51.8%
        46%
        12.3
        C8R14ACXX_l06n01_lib_f5.351000000a200f
        44.2%
        46%
        12.7
        C8R14ACXX_l06n01_lib_f6.351000000a2093
        43.5%
        47%
        9.4
        C8R14ACXX_l06n01_lib_f7.351000000a210e
        38.5%
        46%
        7.3
        C8R14ACXX_l06n01_lib_f8.351000000a2185
        44.8%
        46%
        10.1
        C8R14ACXX_l06n01_lib_f9.351000000a21ff
        43.8%
        46%
        9.6

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 4/4 columns.
        LaneTotal # of Single-End ReadsTotal # PF ReadsUndetermined % PhiX Aligned
        6.0
        147467707
        144431704
        2.7
        2.33%

        Lane 6 Demultiplexing Report

        Lane 6 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.
        Perfect: The percentage of reads in this library which have a barcode perfectly matching the barcode specified in TuboWeb. The remainder of reads have mismatches upto the max number of mismatches specified in TuboWeb (Allowed barcode mismatch option in your Library Pool).

        Showing 12/12 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        lib_f4
        12256052
        8.7
        99.3
        lib_f12
        18169398
        12.9
        99.4
        lib_f9
        9617129
        6.8
        99.3
        lib_f1
        11126519
        7.9
        99.2
        lib_f11
        11454743
        8.2
        98.9
        lib_f7
        7335199
        5.2
        99.1
        lib_f3
        12110155
        8.6
        99.5
        lib_f6
        9449345
        6.7
        99.0
        lib_f2
        10598461
        7.5
        99.3
        lib_f5
        12656141
        9.0
        99.4
        lib_f10
        15614746
        11.1
        99.4
        lib_f8
        10084717
        7.2
        99.3

        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 (101bp).


        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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