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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 1.12

        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 2024-06-18, 10:45 based on data in: /home/shared/8TB_HDD_02/graceac9/GitHub/paper-pycno-sswd-2021-2022/analyses/03-hisat2


        General Statistics

        Showing 32/32 rows.
        Sample Name% Aligned
        PSC-19-hisat
        81.5%
        PSC-23-hisat
        79.2%
        PSC-24-hisat
        74.6%
        PSC-34-hisat
        10.3%
        PSC-35-hisat
        16.1%
        PSC-36-hisat
        24.3%
        PSC-37-hisat
        10.2%
        PSC-38-hisat
        11.5%
        PSC-39-hisat
        15.0%
        PSC-40-hisat
        13.9%
        PSC-42-hisat
        80.3%
        PSC-43-hisat
        81.9%
        PSC-48-hisat
        78.3%
        PSC-49-hisat
        77.7%
        PSC-52-hisat
        79.5%
        PSC-54-hisat
        80.3%
        PSC-56-hisat
        74.9%
        PSC-57-hisat
        83.4%
        PSC-58-hisat
        80.2%
        PSC-59-hisat
        78.1%
        PSC-61-hisat
        78.8%
        PSC-63-hisat
        80.5%
        PSC-64-hisat
        80.7%
        PSC-67-hisat
        77.4%
        PSC-69-hisat
        78.0%
        PSC-71-hisat
        77.8%
        PSC-73-hisat
        79.4%
        PSC-75-hisat
        46.6%
        PSC-76-hisat
        79.1%
        PSC-78-hisat
        63.4%
        PSC-81-hisat
        77.7%
        PSC-83-hisat
        81.6%

        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. .DOI: 10.1038/nmeth.1923; 10.1038/nmeth.3317; 10.1038/s41587-019-0201-4.

        Paired-end alignments

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

        Please note that single mate alignment counts are halved to tally with pair counts properly.

        There are 6 possible types of alignment:

        • PE mapped uniquely: Pair has only one occurence in the reference genome.
        • PE mapped discordantly uniquely: Pair has only one occurence but not in proper pair.
        • PE one mate mapped uniquely: One read of a pair has one occurence.
        • PE multimapped: Pair has multiple occurence.
        • PE one mate multimapped: One read of a pair has multiple occurence.
        • PE neither mate aligned: Pair has no occurence.
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