HISAT2 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 1.11

        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

        HISAT2 MultiQC

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

        Report generated on 2022-05-10, 12:48 based on data in: /mnt/tmp/job_working_directory/004/028/4028302/working/multiqc_WDir

        General Statistics

        Showing 6/6 rows.
        Sample Name% Aligned
        HISAT2 Ethanol 1_ Mapping summary
        97.3%
        HISAT2 Ethanol 2_ Mapping summary
        97.2%
        HISAT2 Ethanol 3_ Mapping summary
        97.2%
        HISAT2 Wildtype 1_ Mapping summary
        95.2%
        HISAT2 Wildtype 2_ Mapping summary
        95.2%
        HISAT2 Wildtype 3_ Mapping summary
        95.2%

        HISAT2

        HISAT2 is a fast and sensitive alignment program for mapping NGS reads (both DNA and RNA) against a reference genome or population of reference genomes.

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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.