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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 2017-04-08, 01:04 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/H5GGKBGX2/merged


        General Statistics

        Showing 26/26 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        H5GGKBGX2_n01_4s-01_dr
        63.5%
        51%
        15.2
        H5GGKBGX2_n01_4s-09_dr
        64.6%
        53%
        12.0
        H5GGKBGX2_n01_4s-13_dr
        58.3%
        52%
        11.4
        H5GGKBGX2_n01_9s-12_dr
        61.3%
        52%
        11.7
        H5GGKBGX2_n01_9s-55_dr
        72.4%
        53%
        19.9
        H5GGKBGX2_n01_9s-57_dr
        70.6%
        53%
        18.9
        H5GGKBGX2_n01_9w-07_dr
        78.6%
        53%
        18.9
        H5GGKBGX2_n01_9w-33_dr
        75.8%
        52%
        16.6
        H5GGKBGX2_n01_9w-41_dr
        83.2%
        53%
        19.5
        H5GGKBGX2_n01_9w-45_dr
        69.0%
        52%
        10.8
        H5GGKBGX2_n01_9w-47_dr
        62.8%
        52%
        10.7
        H5GGKBGX2_n01_9w-48_dr
        74.3%
        53%
        15.0
        H5GGKBGX2_n01_9w-55_dr
        63.5%
        52%
        10.9
        H5GGKBGX2_n01_9w-57_dr
        59.6%
        53%
        11.6
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_1
        64.1%
        55%
        18.9
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_10
        67.1%
        55%
        9.3
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_11
        61.4%
        55%
        12.4
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_12
        65.3%
        55%
        18.4
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_2
        59.0%
        55%
        14.9
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_3
        59.3%
        55%
        12.2
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_4
        59.3%
        55%
        13.0
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_5
        57.6%
        55%
        10.5
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_6
        56.3%
        56%
        9.1
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_7
        58.7%
        55%
        10.6
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_8
        62.0%
        55%
        14.3
        H5GGKBGX2_n01_attga1_-chx_ricetarget_rep2_9
        56.7%
        55%
        10.0

        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 (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.

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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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