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        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in 034_r_STAR_multiqc_Ruhland2016_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 1.11

        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 2024-07-30, 09:01 based on data in: /scicore/home/scicore/duchem0001/training/Intro_RNAseq_practical_material_with_solutions_and_indexes/Solutions/Ruhland2016/031_d_STAR_Ruhland2016

        General Statistics

        Showing 6/6 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        SRR3180535_EtOH1_1
        84.4%
        46.4
        SRR3180536_EtOH2_1
        82.4%
        41.3
        SRR3180537_EtOH3_1
        85.6%
        41.2
        SRR3180538_TAM1_1
        88.1%
        46.6
        SRR3180539_TAM2_1
        85.0%
        41.3
        SRR3180540_TAM3_1
        85.3%
        47.2

        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 v1.11 - Written by Phil Ewels, available on GitHub.

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