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        Note that additional data was saved in 1100.WS.star.multiqc.report_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 1.10.1

        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.

        Contact E-mail
        trex_info@cornell.edu

        Report generated on 2022-10-26, 13:20 based on data in: /local/workdir/fa286/projects/BILLED_ARCHIVED/ARCHIVED/1100_TREx_workshop/STAR/STAR.LOGS


        General Statistics

        Showing 18/18 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        1100-W14-14-A549-6hr
        90.0%
        13.2
        1100-W15-15-A549-6hr
        88.6%
        24.2
        1100-W17-17-A549-6hr
        89.0%
        29.7
        1100-W26-26-A549-24hr
        90.0%
        12.8
        1100-W27-27-A549-24hr
        88.9%
        16.1
        1100-W3-3-A549-0hr
        85.8%
        14.2
        1100-W30-30-A549-24hr
        89.9%
        19.0
        1100-W37-37-293T-0hr
        85.6%
        14.7
        1100-W4-4-A549-0hr
        89.5%
        22.0
        1100-W40-40-293T-0hr
        87.7%
        28.9
        1100-W42-42-293T-0hr
        82.0%
        9.5
        1100-W49-49-293T-6hr
        87.7%
        21.6
        1100-W53-53-293T-6hr
        86.8%
        21.9
        1100-W54-54-293T-6hr
        88.0%
        16.9
        1100-W61-61-293T-24hr
        88.8%
        20.6
        1100-W62-62-293T-24hr
        88.3%
        21.9
        1100-W64-64-293T-24hr
        88.8%
        18.3
        1100-W7-7-A549-0hr
        78.7%
        16.0

        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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