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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 2017-09-03, 04:09 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/CAWHCACXX/5


        General Statistics

        Showing 14/14 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        CAWHCACXX_l05n01_ogla_47.3510000009bdc0
        24.3%
        44%
        26.6
        CAWHCACXX_l05n01_ogla_48.3510000009bd4a
        30.8%
        44%
        43.5
        CAWHCACXX_l05n01_ogla_49.3510000009bcde
        27.6%
        44%
        30.4
        CAWHCACXX_l05n01_ogla_50.3510000009bc4b
        26.3%
        44%
        33.6
        CAWHCACXX_l05n01_ogla_51.3510000009bbc2
        24.6%
        44%
        24.1
        CAWHCACXX_l05n01_ogla_52.3510000009bb4c
        28.6%
        44%
        32.6
        CAWHCACXX_l05n01_ogla_53.3510000009bab6
        27.6%
        44%
        32.9
        CAWHCACXX_l05n02_ogla_47.3520000009bdcd
        23.1%
        44%
        26.6
        CAWHCACXX_l05n02_ogla_48.3520000009bd47
        29.1%
        45%
        43.5
        CAWHCACXX_l05n02_ogla_49.3520000009bcdb
        26.8%
        44%
        30.4
        CAWHCACXX_l05n02_ogla_50.3520000009bc48
        25.8%
        44%
        33.6
        CAWHCACXX_l05n02_ogla_51.3520000009bbcf
        24.0%
        44%
        24.1
        CAWHCACXX_l05n02_ogla_52.3520000009bb49
        27.3%
        44%
        32.6
        CAWHCACXX_l05n02_ogla_53.3520000009bab3
        26.7%
        44%
        32.9

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 3/3 columns.
        LaneTotal # of Single-End ReadsTotal # PF ReadsUndetermined
        5.0
        240688423
        228997764
        2.27%

        Lane 5 Demultiplexing Report

        Lane 5 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 7/7 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        ogla_48
        43505745
        19.4
        99.2
        ogla_50
        33634516
        15.0
        99.3
        ogla_47
        26636322
        11.9
        99.1
        ogla_53
        32855953
        14.7
        99.3
        ogla_49
        30434746
        13.6
        99.1
        ogla_51
        24085142
        10.8
        94.3
        ogla_52
        32648602
        14.6
        99.0

        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 (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.

        14 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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