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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 2020-11-06, 04:37 based on data in:


        General Statistics

        Showing 8/8 rows and 5/7 columns.
        Sample Name% Aligned% DuplicationGC content% PF% Adapter
        Pool26_16_P_31_1
        9.4%
        48.3%
        99.2%
        26.8%
        Pool26_16_hisat2.err
        92.5%
        Pool26_8_P_31_1
        9.0%
        49.2%
        99.3%
        23.8%
        Pool26_8_hisat2.err
        92.9%
        Pool32_16_P_31_1
        8.3%
        48.4%
        99.2%
        26.0%
        Pool32_16_hisat2.err
        92.3%
        Pool32_8_P_31_1
        10.3%
        48.0%
        99.2%
        21.6%
        Pool32_8_hisat2.err
        93.4%

        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.

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

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        fastp

        fastp An ultra-fast all-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...)

        Filtered Reads

        Filtering statistics of sampled reads.

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        Duplication Rates

        Duplication rates of sampled reads.

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        Insert Sizes

        Insert size estimation of sampled reads.

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        Sequence Quality

        Average sequencing quality over each base of all reads.

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        GC Content

        Average GC content over each base of all reads.

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        N content

        Average N content over each base of all reads.

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