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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 0.9

        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 2017-01-18, 07:01 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/HGGNWBGX2-merged


        General Statistics

        Showing 24/24 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HGGNWBGX2_n01_q10_umi
        96.1%
        44%
        19.6
        HGGNWBGX2_n01_q11_umi
        92.9%
        42%
        14.3
        HGGNWBGX2_n01_q12_umi
        95.9%
        41%
        16.3
        HGGNWBGX2_n01_q1_umi
        96.1%
        42%
        15.6
        HGGNWBGX2_n01_q2_umi
        95.5%
        42%
        35.8
        HGGNWBGX2_n01_q3_umi
        94.3%
        43%
        16.8
        HGGNWBGX2_n01_q4_umi
        95.2%
        41%
        14.3
        HGGNWBGX2_n01_q5_umi
        94.3%
        43%
        15.9
        HGGNWBGX2_n01_q6_umi
        95.4%
        41%
        16.9
        HGGNWBGX2_n01_q7_umi
        95.9%
        43%
        18.0
        HGGNWBGX2_n01_q8_umi
        92.5%
        39%
        11.7
        HGGNWBGX2_n01_q9_umi
        95.4%
        45%
        18.1
        HGGNWBGX2_n01_w10_umi
        96.1%
        45%
        15.8
        HGGNWBGX2_n01_w11_umi
        95.5%
        43%
        16.1
        HGGNWBGX2_n01_w12_umi
        96.0%
        40%
        15.9
        HGGNWBGX2_n01_w1_umi
        87.0%
        46%
        10.5
        HGGNWBGX2_n01_w2_umi
        93.5%
        43%
        13.9
        HGGNWBGX2_n01_w3_umi
        94.3%
        42%
        11.8
        HGGNWBGX2_n01_w4_umi
        88.6%
        45%
        13.1
        HGGNWBGX2_n01_w5_umi
        94.0%
        42%
        15.1
        HGGNWBGX2_n01_w6_umi
        90.5%
        42%
        11.9
        HGGNWBGX2_n01_w7_umi
        95.2%
        43%
        15.7
        HGGNWBGX2_n01_w8_umi
        92.4%
        44%
        18.4
        HGGNWBGX2_n01_w9_umi
        92.2%
        45%
        15.3

        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 (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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