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        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 2024-03-10, 08:56 EDT based on data in: /scratch/stb5321/IGC-larvae/reports

        General Statistics

        Showing 56/56 rows and 5/7 columns.
        Sample Name% DuplicationM Reads After FilteringGC content% PF% Adapter
        CMG0080_S1_R1_001
        16.5%
        51.2
        33.3%
        99.7%
        0.6%
        CMG0081_S2_R1_001
        20.1%
        111.4
        37.9%
        99.7%
        0.9%
        CMG0082_S3_R1_001
        19.6%
        52.3
        33.4%
        99.6%
        1.2%
        CMG0083_S4_R1_001
        17.6%
        66.5
        38.3%
        99.7%
        0.8%
        CMG0084_S5_R1_001
        17.6%
        35.0
        34.0%
        99.6%
        1.3%
        CMG0085_S6_R1_001
        16.8%
        26.5
        38.2%
        99.7%
        0.7%
        CMG0086_S7_R1_001
        20.5%
        29.1
        34.9%
        99.7%
        1.1%
        CMG0087_S8_R1_001
        18.9%
        47.6
        33.8%
        99.6%
        0.7%
        CMG0088_S9_R1_001
        15.1%
        27.2
        38.7%
        99.7%
        0.8%
        CMG0089_S10_R1_001
        18.7%
        29.2
        37.7%
        99.7%
        1.5%
        CMG0090_S11_R1_001
        15.8%
        32.9
        38.1%
        99.7%
        0.7%
        CMG0091_S12_R1_001
        17.2%
        48.9
        37.0%
        99.7%
        1.7%
        CMG0092_S13_R1_001
        16.3%
        18.8
        39.0%
        99.7%
        1.2%
        CMG0093_S14_R1_001
        15.9%
        16.1
        37.5%
        99.7%
        1.8%
        CMG0094_S15_R1_001
        19.3%
        80.3
        33.4%
        99.4%
        1.3%
        CMG0095_S16_R1_001
        18.2%
        55.7
        36.1%
        99.7%
        1.4%
        CMG0096_S17_R1_001
        19.3%
        41.2
        37.4%
        99.7%
        1.8%
        CMG0097_S18_R1_001
        15.4%
        43.7
        34.7%
        99.7%
        1.3%
        CMG0098_S19_R1_001
        19.0%
        39.2
        39.0%
        99.7%
        0.7%
        CMG0099_S20_R1_001
        17.9%
        42.0
        35.6%
        99.8%
        1.6%
        CMG0100_S21_R1_001
        16.4%
        19.3
        37.9%
        99.7%
        1.8%
        CMG0101_S22_R1_001
        18.1%
        52.5
        33.6%
        99.5%
        1.0%
        CMG0102_S23_R1_001
        18.6%
        45.6
        36.2%
        99.7%
        1.5%
        CMG0103_S24_R1_001
        17.6%
        24.9
        39.0%
        99.7%
        1.9%
        CMG0104_S25_R1_001
        18.1%
        60.9
        36.4%
        99.7%
        1.3%
        CMG0105_S26_R1_001
        17.1%
        23.1
        38.9%
        99.7%
        1.6%
        CMG0106_S27_R1_001
        19.0%
        49.5
        35.7%
        99.7%
        1.3%
        CMG0107_S28_R1_001
        18.6%
        24.8
        38.8%
        99.7%
        1.8%
        CMG0108_S29_R1_001
        17.6%
        60.7
        33.3%
        99.0%
        1.4%
        CMG0109_S30_R1_001
        18.3%
        51.0
        36.2%
        99.6%
        1.5%
        CMG0110_S31_R1_001
        18.3%
        51.2
        36.3%
        99.7%
        1.1%
        CMG0111_S32_R1_001
        18.6%
        23.8
        36.9%
        99.7%
        1.5%
        CMG0112_S33_R1_001
        21.1%
        106.0
        33.8%
        99.7%
        0.6%
        CMG0113_S34_R1_001
        17.1%
        32.9
        36.9%
        99.7%
        1.5%
        CMG0114_S35_R1_001
        21.1%
        49.8
        35.6%
        99.6%
        1.3%
        CMG0115_S36_R1_001
        18.9%
        55.5
        33.3%
        99.1%
        1.0%
        CMG0116_S37_R1_001
        17.0%
        25.3
        37.2%
        99.7%
        1.4%
        CMG0117_S38_R1_001
        19.0%
        94.0
        36.4%
        99.6%
        1.3%
        CMG0118_S39_R1_001
        16.9%
        28.4
        38.1%
        99.7%
        1.7%
        CMG0119_S40_R1_001
        19.3%
        61.6
        37.7%
        99.7%
        1.4%
        CMG0120_S41_R1_001
        19.6%
        22.9
        36.9%
        99.7%
        1.2%
        CMG0121_S42_R1_001
        18.6%
        26.7
        37.5%
        99.7%
        1.2%
        CMG0122_S43_R1_001
        18.4%
        49.8
        34.2%
        99.4%
        0.9%
        CMG0123_S44_R1_001
        18.4%
        160.4
        38.4%
        99.7%
        1.4%
        CMG0124_S45_R1_001
        18.0%
        56.9
        37.8%
        99.7%
        1.2%
        CMG0125_S46_R1_001
        17.1%
        38.7
        38.7%
        99.7%
        1.3%
        CMG0126_S47_R1_001
        18.7%
        49.6
        38.4%
        99.7%
        1.3%
        CMG0127_S48_R1_001
        17.3%
        31.3
        36.5%
        99.6%
        1.3%
        CMG0128_S49_R1_001
        19.1%
        45.5
        35.4%
        99.7%
        1.2%
        CMG0129_S50_R1_001
        18.5%
        63.3
        33.9%
        99.2%
        1.1%
        CMG0130_S51_R1_001
        18.6%
        89.6
        37.5%
        99.7%
        1.3%
        CMG0131_S52_R1_001
        18.5%
        56.8
        35.4%
        99.7%
        1.1%
        CMG0132_S53_R1_001
        18.3%
        65.6
        36.2%
        99.7%
        1.3%
        CMG0133_S54_R1_001
        19.0%
        62.9
        34.5%
        99.7%
        1.0%
        CMG0134_S55_R1_001
        18.9%
        45.4
        37.0%
        99.7%
        1.2%
        CMG0135_S56_R1_001
        20.1%
        33.4
        36.1%
        99.7%
        1.2%

        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.

        loading..

        Insert Sizes

        Insert size estimation of sampled reads.

        loading..

        Sequence Quality

        Average sequencing quality over each base of all reads.

        loading..

        GC Content

        Average GC content over each base of all reads.

        loading..

        N content

        Average N content over each base of all reads.

        loading..

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

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