FeatureCounts results (MultiQC)

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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 1.7

        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

        FeatureCounts results (MultiQC)

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

        Report generated on 2019-10-08, 14:10 based on data in: /data/dnb02/galaxy_db/job_working_directory/006/133/6133669/working/multiqc_WDir


        General Statistics

        Showing 2/2 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        RNA STAR on data 19, data 14, and data 13: mapped
        64.3%
        8.4
        RNA STAR on data 19, data 17, and data 16: mapped
        64.3%
        8.6

        featureCounts

        Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

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