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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 1.12

        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 2024-05-29, 05:05 based on data in: /home/shared/8TB_HDD_03/sr320/github/paper-pycno-sswd-2021-2022/analyses/11-kallisto/kallisto_01

        General Statistics

        Showing 32/32 rows and 3/3 columns.
        Sample NameFrag Length% AlignedM Aligned
        PSC-19_R1_001
        292.0bp
        19.9%
        4.7
        PSC-23_R1_001
        298.9bp
        21.1%
        5.0
        PSC-24_R1_001
        294.5bp
        19.9%
        4.5
        PSC-34_R1_001
        278.7bp
        2.8%
        0.8
        PSC-35_R1_001
        266.3bp
        3.0%
        0.8
        PSC-36_R1_001
        270.1bp
        5.4%
        1.2
        PSC-37_R1_001
        284.3bp
        2.4%
        0.4
        PSC-38_R1_001
        253.9bp
        1.8%
        0.5
        PSC-39_R1_001
        231.7bp
        2.6%
        0.6
        PSC-40_R1_001
        283.4bp
        2.7%
        0.6
        PSC-42_R1_001
        306.0bp
        20.3%
        4.2
        PSC-43_R1_001
        301.1bp
        21.6%
        4.8
        PSC-48_R1_001
        283.3bp
        17.7%
        3.4
        PSC-49_R1_001
        291.1bp
        18.7%
        4.1
        PSC-52_R1_001
        294.5bp
        20.7%
        4.6
        PSC-54_R1_001
        277.3bp
        20.0%
        5.0
        PSC-56_R1_001
        309.0bp
        20.8%
        4.3
        PSC-57_R1_001
        319.0bp
        22.0%
        5.0
        PSC-58_R1_001
        301.9bp
        19.8%
        4.5
        PSC-59_R1_001
        301.5bp
        19.3%
        4.3
        PSC-61_R1_001
        303.5bp
        18.2%
        3.6
        PSC-63_R1_001
        321.7bp
        18.5%
        4.0
        PSC-64_R1_001
        301.6bp
        20.9%
        5.0
        PSC-67_R1_001
        286.6bp
        19.2%
        4.7
        PSC-69_R1_001
        312.6bp
        15.8%
        3.6
        PSC-71_R1_001
        313.1bp
        21.0%
        5.6
        PSC-73_R1_001
        302.0bp
        18.2%
        4.6
        PSC-75_R1_001
        299.3bp
        9.9%
        2.4
        PSC-76_R1_001
        305.0bp
        19.2%
        4.3
        PSC-78_R1_001
        280.0bp
        15.6%
        3.4
        PSC-81_R1_001
        295.3bp
        19.5%
        5.0
        PSC-83_R1_001
        284.2bp
        20.1%
        5.1

        Kallisto

        Kallisto is a program for quantifying abundances of transcripts from RNA-Seq data.DOI: 10.1038/nbt.3519.

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        MultiQC v1.12 - Written by Phil Ewels, available on GitHub.

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