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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 1.15

        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 2024-10-15, 08:33 CEST based on data in: /scratch/tmp/Marijke P. A. Baltissen

        General Statistics

        Showing 21/21 rows and 5/7 columns.
        Sample Name% DuplicationM Reads After FilteringGC content% PF% Adapter
        46372_Exp229_EG_RNA_sample_1_A08
        30.0%
        17.5
        50.4%
        98.9%
        0.1%
        46373_Exp229_EG_RNA_sample_2_A09
        27.7%
        7.0
        47.9%
        99.5%
        0.1%
        46374_Exp229_EG_RNA_sample_3_A10
        27.1%
        5.4
        49.7%
        98.6%
        0.1%
        46375_Exp229_EG_RNA_sample_4_A11
        25.7%
        5.7
        48.3%
        98.8%
        0.1%
        46376_Exp229_EG_RNA_sample_5_A12
        28.5%
        0.0
        47.4%
        99.5%
        0.1%
        46377_Exp229_EG_RNA_sample_6_A15
        27.3%
        4.5
        48.3%
        98.7%
        0.1%
        46378_Exp229_EG_RNA_sample_7_A24
        27.4%
        7.9
        48.4%
        99.0%
        0.1%
        46379_Exp229_EG_RNA_sample_8_A27
        26.2%
        3.0
        47.3%
        99.2%
        0.1%
        46380_Exp229_EG_RNA_sample_9_A28
        26.9%
        3.2
        47.7%
        99.2%
        0.1%
        46381_Exp229_EG_RNA_sample_10_A29
        31.8%
        63.2
        48.5%
        99.0%
        0.1%
        46382_Exp229_EG_RNA_sample_11_A30
        27.4%
        8.3
        48.4%
        98.8%
        0.0%
        46383_Exp229_EG_RNA_sample_12_A31
        27.6%
        5.9
        48.5%
        99.4%
        0.1%
        46384_Exp229_EG_RNA_sample_13_A32
        29.0%
        31.0
        47.5%
        98.9%
        0.1%
        46385_Exp229_EG_RNA_sample_14_A33
        24.9%
        6.3
        46.7%
        99.0%
        0.1%
        46386_Exp229_EG_RNA_sample_15_A34
        28.0%
        8.7
        47.5%
        99.3%
        0.1%
        46387_Exp229_EG_RNA_sample_16_A36
        27.2%
        6.8
        48.1%
        99.3%
        0.0%
        46388_Exp229_EG_RNA_sample_17_A37
        27.1%
        16.1
        47.8%
        99.0%
        0.0%
        46389_Exp229_EG_RNA_sample_18_A38
        23.9%
        2.7
        47.7%
        99.1%
        0.1%
        46390_Exp229_EG_RNA_sample_19_A39
        25.0%
        2.0
        46.5%
        99.2%
        0.1%
        46391_Exp229_EG_RNA_sample_20_A40
        31.5%
        52.6
        46.7%
        99.2%
        0.1%
        46392_Exp229_EG_RNA_sample_21_A42
        26.3%
        7.0
        47.4%
        98.9%
        0.1%

        fastp

        fastp An ultra-fast all-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...).DOI: 10.1093/bioinformatics/bty560.

        Filtered Reads

        Filtering statistics of sampled reads.

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        Insert Sizes

        Insert size estimation of sampled reads.

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        Sequence Quality

        Average sequencing quality over each base of all reads.

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        GC Content

        Average GC content over each base of all reads.

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        N content

        Average N content over each base of all reads.

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        MultiQC v1.15 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.