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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 1.18.dev0

        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 2023-11-10, 20:37 UTC based on data in: /src/MultiQC_TestData/data/modules/kraken


        General Statistics

        Showing 12/12 rows and 3/3 columns.
        Sample Name% Peptoclostridium difficile% Top 5 Species% Unclassified
        GSR-SWIFT-2021-5-04-FF08511340
        0.0%
        0.0%
        100.0%
        genus_only.kreport
        0.0%
        1.4%
        metagenome.kreport
        0.0%
        46.0%
        54.0%
        sample1
        0.0%
        0.3%
        99.7%
        sample2
        0.0%
        99.4%
        0.3%
        sample_01
        82.3%
        82.3%
        15.8%
        sample_02
        87.3%
        87.3%
        11.7%
        sample_03
        88.8%
        88.8%
        10.3%
        sample_04
        89.7%
        89.7%
        9.3%
        test
        0.0%
        100.0%
        0.0%
        test1.kreport
        0.0%
        100.0%
        test2.kreport
        0.0%
        0.0%
        100.0%

        Kraken

        Kraken is a taxonomic classification tool that uses exact k-mer matches to find the lowest common ancestor (LCA) of a given sequence.DOI: 10.1186/gb-2014-15-3-r46.

        Top taxa

        The number of reads falling into the top 5 taxa across different ranks.

        To make this plot, the percentage of each sample assigned to a given taxa is summed across all samples. The counts for these top 5 taxa are then plotted for each of the 9 different taxa ranks. The unclassified count is always shown across all taxa ranks.

        The total number of reads is approximated by dividing the number of unclassified reads by the percentage of the library that they account for. Note that this is only an approximation, and that kraken percentages don't always add to exactly 100%.

        The category "Other" shows the difference between the above total read count and the sum of the read counts in the top 5 taxa shown + unclassified. This should cover all taxa not in the top 5, +/- any rounding errors.

        Note that any taxon that does not exactly fit a taxon rank (eg. - or G2) is ignored.

           
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        Duplication rate of top species

        The duplication rate of minimizer falling into the top 5 species

        To make this plot, the minimizer duplication rate is computed for the top 5 most abundant species in all samples.

        The minimizer duplication rate is defined as: duplication rate = (total number of minimizers / number of distinct minimizers)

        A low coverage and high duplication rate (>> 1) is often sign of read stacking, which probably indicates of false positive hit.

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