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        Note that additional data was saved in RQN-example_data 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 1.0.dev0

        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 2019-05-13, 16:05 based on data in: /local/workdir/RSC/Projects/TEMP_Faraz/dummy-star

        General Statistics

        Showing 12/12 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        RQN_10
        88.7%
        32.9
        RQN_6.8
        70.7%
        24.8
        RQN_7.1_1
        77.3%
        26.6
        RQN_7.1_2
        68.1%
        23.9
        RQN_7.4
        83.0%
        29.9
        RQN_7.6
        87.4%
        32.1
        RQN_8.3
        87.7%
        31.6
        RQN_8.6
        87.3%
        20.9
        RQN_9.1
        87.1%
        28.8
        RQN_9.5
        80.2%
        27.7
        RQN_9.6_1
        85.0%
        32.0
        RQN_9.6_2
        88.3%
        29.6

        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        Gene Counts

        Statistics from results generated using --quantMode GeneCounts. The three tabs show counts for unstranded RNA-seq, counts for the 1st read strand aligned with RNA and counts for the 2nd read strand aligned with RNA.

           
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        MultiQC v1.0.dev0 - Written by Phil Ewels, available on GitHub.

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