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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 2024-04-04, 13:39 EDT based on data in: /scratch/stb5321/IGC-larvae/reports/larvae_RNA


        General Statistics

        Showing 40/40 rows and 5/7 columns.
        Sample Name% DuplicationM Reads After FilteringGC content% PF% Adapter
        CMG0009_S1_R1_001
        19.7%
        51.9
        37.8%
        99.7%
        0.1%
        CMG0010_S2_R1_001
        22.6%
        55.4
        38.6%
        99.7%
        0.1%
        CMG0011_S3_R1_001
        20.3%
        46.0
        37.1%
        99.7%
        0.1%
        CMG0012_S4_R1_001
        19.1%
        58.4
        38.2%
        99.7%
        0.1%
        CMG0013_S5_R1_001
        19.0%
        51.6
        37.8%
        99.7%
        0.1%
        CMG0014_S6_R1_001
        21.1%
        53.3
        37.7%
        99.7%
        0.1%
        CMG0015_S7_R1_001
        22.8%
        49.9
        37.8%
        99.7%
        0.1%
        CMG0016_S8_R1_001
        22.3%
        49.2
        38.0%
        99.7%
        0.1%
        CMG0017_S9_R1_001
        31.4%
        54.5
        39.3%
        99.7%
        0.1%
        CMG0018_S10_R1_001
        23.0%
        50.0
        37.7%
        99.7%
        0.1%
        CMG0019_S11_R1_001
        21.1%
        48.4
        37.8%
        99.7%
        0.1%
        CMG0020_S12_R1_001
        18.5%
        48.7
        37.8%
        99.6%
        0.1%
        CMG0021_S13_R1_001
        22.7%
        66.9
        38.2%
        99.7%
        0.1%
        CMG0022_S14_R1_001
        38.5%
        59.0
        38.8%
        99.7%
        0.1%
        CMG0023_S15_R1_001
        23.8%
        52.8
        36.1%
        99.7%
        0.1%
        CMG0024_S16_R1_001
        30.6%
        48.4
        39.2%
        99.7%
        0.1%
        CMG0025_S17_R1_001
        20.1%
        42.9
        39.1%
        99.7%
        0.1%
        CMG0026_S18_R1_001
        26.2%
        61.0
        38.7%
        99.7%
        0.1%
        CMG0027_S19_R1_001
        20.2%
        55.5
        39.0%
        99.7%
        0.1%
        CMG0028_S20_R1_001
        19.9%
        59.0
        38.1%
        99.7%
        0.1%
        CMG0029_S21_R1_001
        23.5%
        47.8
        40.5%
        99.7%
        0.1%
        CMG0030_S22_R1_001
        23.1%
        58.9
        39.6%
        99.7%
        0.1%
        CMG0031_S23_R1_001
        20.0%
        48.2
        39.7%
        99.7%
        0.1%
        CMG0032_S24_R1_001
        24.3%
        52.2
        39.6%
        99.7%
        0.1%
        CMG0033_S25_R1_001
        26.3%
        63.7
        39.7%
        99.6%
        0.1%
        CMG0034_S26_R1_001
        25.9%
        56.8
        39.9%
        99.7%
        0.1%
        CMG0035_S27_R1_001
        20.7%
        55.6
        38.5%
        99.7%
        0.1%
        CMG0036_S28_R1_001
        26.5%
        52.4
        39.4%
        99.8%
        0.2%
        CMG0037_S29_R1_001
        24.5%
        47.0
        39.3%
        99.7%
        0.2%
        CMG0038_S30_R1_001
        20.4%
        47.3
        38.0%
        99.7%
        0.1%
        CMG0039_S31_R1_001
        24.3%
        61.7
        39.2%
        99.7%
        0.2%
        CMG0040_S32_R1_001
        25.5%
        45.6
        37.4%
        99.7%
        0.1%
        CMG0041_S33_R1_001
        22.6%
        71.1
        39.3%
        99.6%
        0.1%
        CMG0042_S34_R1_001
        18.2%
        61.7
        37.9%
        99.6%
        0.1%
        CMG0043_S35_R1_001
        20.7%
        68.6
        38.1%
        99.6%
        0.1%
        CMG0044_S36_R1_001
        24.4%
        63.9
        40.6%
        99.6%
        0.2%
        CMG0045_S37_R1_001
        23.9%
        68.2
        40.5%
        99.6%
        0.2%
        CMG0046_S38_R1_001
        22.9%
        76.7
        39.8%
        99.6%
        0.2%
        CMG0047_S39_R1_001
        18.6%
        34.9
        38.9%
        99.7%
        0.1%
        CMG0048_S40_R1_001
        25.6%
        125.0
        38.8%
        99.6%
        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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