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        Note that additional data was saved in multiqc_data_1 when this report was generated.


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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 1.9

        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 2021-08-02, 13:15 based on data in:


        General Statistics

        Showing 28/28 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        Lvr_11
        65.9%
        16.6
        Lvr_4
        77.4%
        15.8
        ODPE_1
        71.3%
        13.1
        ODPE_2
        71.6%
        14.2
        ODPE_3
        70.5%
        13.0
        ODPE_4
        70.8%
        16.2
        Panc_1
        79.8%
        18.8
        Panc_2
        80.9%
        19.0
        Pnc_11
        81.9%
        20.2
        Pnc_4
        79.4%
        17.9
        RVG_11
        67.3%
        16.9
        RVG_4
        74.3%
        14.4
        Skin_1
        73.9%
        12.1
        Skin_2
        74.0%
        11.5
        Skn_11
        77.6%
        18.6
        Skn_4
        76.9%
        15.4
        Stom_1
        73.7%
        12.6
        Stom_2
        75.3%
        17.4
        TDPE_1
        70.7%
        18.0
        TDPE_2
        70.8%
        12.9
        TDPE_3
        69.7%
        15.2
        TDPE_4
        71.2%
        16.4
        Un1
        67.5%
        17.9
        Un2
        81.1%
        15.9
        Unext_1
        66.8%
        14.4
        Unext_2
        67.8%
        11.3
        Unext_3
        68.2%
        13.4
        Unext_4
        67.9%
        14.8

        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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