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        Note that additional data was saved in multiqc_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 1.8

        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 2022-08-11, 11:15 based on data in: /gscratch/scrubbed/samwhite/outputs/20220810-snam-hisat2-GCF_016432855.1_index-align-stringtie_isoforms


        General Statistics

        Showing 24/24 rows and 1/1 columns.
        Sample Name% Aligned
        NPLL32_hisat2.err
        84.2%
        NPLL34_hisat2.err
        87.2%
        NPLL44_hisat2.err
        90.2%
        NPLL46_hisat2.err
        88.2%
        NPLL56_hisat2.err
        89.8%
        NPLL61_hisat2.err
        90.6%
        NPSL15_hisat2.err
        88.0%
        NPSL24_hisat2.err
        86.4%
        NPSL29_hisat2.err
        89.9%
        NPSL36_hisat2.err
        86.8%
        NPSL50_hisat2.err
        85.9%
        NPSL58_hisat2.err
        87.1%
        PLL20_hisat2.err
        89.8%
        PLL31_hisat2.err
        91.7%
        PLL43_hisat2.err
        90.7%
        PLL55_hisat2.err
        71.9%
        PLL59_hisat2.err
        87.5%
        PLL62_hisat2.err
        90.6%
        PSL13_hisat2.err
        90.4%
        PSL16_hisat2.err
        88.7%
        PSL35_hisat2.err
        86.7%
        PSL49_hisat2.err
        84.1%
        PSL53_hisat2.err
        88.5%
        PSL63_hisat2.err
        90.7%

        Bowtie 2 / HiSAT2

        Bowtie 2 and HISAT2 are fast and memory-efficient tools for aligning sequencing reads against a reference genome. Unfortunately both tools have identical log output by default, so it is impossible to distiguish which tool was used.

        Single-end alignments

        This plot shows the number of reads aligning to the reference in different ways.

        There are 3 possible types of alignment:

        • SE mapped uniquely: Read has only one occurence in the reference genome.
        • SE multimapped: Read has multiple occurence.
        • SE not aligned: Read has no occurence.
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