Loading report..

Highlight Samples

Regex mode off

    Rename Samples

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.

        Choose Plots

        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

        Save Settings

        You can save the toolbox settings for this report to the browser.

        Load Settings

        Choose a saved report profile from the dropdown box below:

        Tool Citations

        Please remember to cite the tools that you use in your analysis.

        To help with this, you can download publication details of the tools mentioned in this report:

        About MultiQC

        This report was generated using MultiQC, version 1.26

        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/MultiQC/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 2025-05-27, 14:17 CEST based on data in: /archiv/READS/Acetobacterium_dehalogenans_Kurth_2023_07_21/TODO/MAPPED

        General Statistics

        Showing 0/18 rows and 2/4 columns.
        Sample NameReadsReads mapped% Reads mapped% Aligned
        MC2-big
        25.7M
        25.6M
        99.5%
        MC2-big.err
        99.4%
        MC3-big
        28.6M
        28.3M
        99.1%
        MC3-big.err
        98.9%
        MC4-big
        28.6M
        28.4M
        99.3%
        MC4-big.err
        99.2%
        Syr1
        31.3M
        31.1M
        99.5%
        Syr1.err
        99.4%
        Syr2
        35.3M
        35.1M
        99.5%
        Syr2.err
        99.5%
        Syr4
        47.6M
        47.3M
        99.5%
        Syr4.err
        99.4%
        Syr-MC1-big
        40.8M
        40.5M
        99.2%
        Syr-MC1-big.err
        99.1%
        Syr-MC2-big
        21.8M
        21.6M
        99.2%
        Syr-MC2-big.err
        99.1%
        Syr-MC3-big
        26.8M
        26.6M
        99.3%
        Syr-MC3-big.err
        99.2%

        Samtools

        Toolkit for interacting with BAM/CRAM files.URL: http://www.htslib.orgDOI: 10.1093/bioinformatics/btp352

        Flagstat

        This module parses the output from samtools flagstat

        Created with MultiQC

        Bowtie 2 / HiSAT2

        Results from both Bowtie 2 and HISAT2, tools for aligning reads against a reference genome.URL: http://bowtie-bio.sourceforge.net/bowtie2; https://ccb.jhu.edu/software/hisat2DOI: 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.
        Created with MultiQC

        MultiQC v1.26 - Written by Phil Ewels, available on GitHub.

        This report uses Plotly, jQuery, jQuery UI, Bootstrap and FileSaver.js.