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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 1.8

        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 2022-08-11, 11:50 based on data in: /gscratch/srlab/graceac9/analyses/pycno/20220810_PSC2021_trimming


        General Statistics

        Showing 32/32 rows and 4/6 columns.
        Sample Name% DuplicationGC content% PF% Adapter
        PSC-19_R1_001
        23.4%
        42.1%
        98.4%
        9.9%
        PSC-23_R1_001
        23.7%
        42.3%
        98.1%
        8.6%
        PSC-24_R1_001
        24.3%
        41.8%
        98.3%
        8.3%
        PSC-34_R1_001
        38.4%
        34.9%
        97.5%
        10.1%
        PSC-35_R1_001
        32.8%
        34.1%
        97.7%
        9.7%
        PSC-36_R1_001
        35.0%
        36.8%
        96.5%
        16.1%
        PSC-37_R1_001
        24.8%
        34.4%
        98.2%
        9.8%
        PSC-38_R1_001
        29.7%
        33.8%
        98.0%
        10.6%
        PSC-39_R1_001
        35.9%
        34.7%
        96.8%
        15.4%
        PSC-40_R1_001
        25.4%
        34.2%
        97.6%
        9.6%
        PSC-42_R1_001
        21.6%
        42.3%
        98.3%
        8.1%
        PSC-43_R1_001
        22.0%
        42.6%
        98.0%
        8.1%
        PSC-48_R1_001
        23.2%
        41.3%
        98.3%
        9.1%
        PSC-49_R1_001
        23.2%
        41.8%
        98.2%
        8.6%
        PSC-52_R1_001
        20.2%
        42.7%
        97.8%
        10.2%
        PSC-54_R1_001
        22.6%
        42.2%
        98.3%
        12.4%
        PSC-56_R1_001
        20.1%
        42.1%
        98.5%
        7.2%
        PSC-57_R1_001
        20.9%
        42.6%
        98.1%
        7.2%
        PSC-58_R1_001
        21.0%
        42.0%
        98.4%
        8.7%
        PSC-59_R1_001
        21.6%
        41.6%
        98.2%
        7.8%
        PSC-61_R1_001
        21.0%
        41.3%
        98.3%
        7.3%
        PSC-63_R1_001
        21.8%
        41.5%
        98.3%
        6.5%
        PSC-64_R1_001
        18.8%
        42.6%
        98.0%
        9.6%
        PSC-67_R1_001
        22.2%
        41.5%
        97.9%
        11.3%
        PSC-69_R1_001
        23.2%
        40.7%
        98.0%
        6.3%
        PSC-71_R1_001
        20.8%
        42.1%
        98.1%
        7.9%
        PSC-73_R1_001
        21.3%
        41.5%
        98.2%
        8.3%
        PSC-75_R1_001
        21.0%
        40.8%
        98.4%
        9.8%
        PSC-76_R1_001
        21.1%
        41.9%
        98.1%
        7.4%
        PSC-78_R1_001
        24.0%
        39.6%
        97.3%
        11.0%
        PSC-81_R1_001
        18.5%
        42.1%
        98.1%
        9.9%
        PSC-83_R1_001
        22.3%
        41.9%
        97.9%
        11.1%

        fastp

        fastp An ultra-fast all-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...)

        Filtered Reads

        Filtering statistics of sampled reads.

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        Duplication Rates

        Duplication rates 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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