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

        Note that additional data was saved in 043_multiqc_mouseMT_mapped_raw_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 1.14

        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

        map_raw

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2023-07-19, 09:33 CEST based on data in: /home/wandrille/Documents/trainingProjects/Introduction_to_RNAseq/toy_rnaseq_dataset/042_STAR_map_raw

        General Statistics

        Showing 8/8 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        sample_a1
        99.9%
        0.0
        sample_a2
        99.9%
        0.0
        sample_a3
        99.9%
        0.0
        sample_a4
        84.1%
        0.0
        sample_b1
        99.9%
        0.0
        sample_b2
        99.9%
        0.0
        sample_b3
        99.8%
        0.0
        sample_b4
        99.9%
        0.0

        STAR

        STAR is an ultrafast universal RNA-seq aligner.DOI: 10.1093/bioinformatics/bts635.

        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 v1.14 - Written by Phil Ewels, available on GitHub.

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