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        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 1.30

        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 2025-11-25, 12:29 CET based on data in: /mnt/fastcomputedata/acoudray/251126_crl_hepg2_new_genome/brbseq-nf-pipeline/work/d9/cfa574b4766946d54048e5b9e781ca
        Welcome! Not sure where to start?   Watch a tutorial video   (6:06)

        General Statistics

        Showing 2/2 rows and 2/6 columns.
        Sample Name
        Total reads
        Aligned
        Aligned
        Uniq aligned
        Uniq aligned
        Multimapped
        L030625CR01_01
        457.3M
        346.8M
        75.8%
        346.8M
        75.8%
        0.0M
        L030625CR02_01
        385.5M
        300.0M
        77.8%
        300.0M
        77.8%
        0.0M

        STAR

        Universal RNA-seq aligner.URL: https://github.com/alexdobin/STARDOI: 10.1093/bioinformatics/bts635

        Summary Statistics

        Summary statistics from the STAR alignment

        Showing 2/2 rows and 10/19 columns.
        Sample Name
        Total reads
        Aligned
        Aligned
        Uniq aligned
        Uniq aligned
        Multimapped
        Avg. read len
        Avg. mapped len
        Splices
        Annotated splices
        GT/AG splices
        GC/AG splices
        AT/AC splices
        Non-canonical splices
        Mismatch rate
        Del rate
        Del len
        Ins rate
        Ins len
        L030625CR01_01
        457.3M
        346.8M
        75.8%
        346.8M
        75.8%
        0.0M
        99.0bp
        98.1bp
        100.9M
        99.6M
        99.9M
        0.4M
        0.0M
        0.6M
        0.4%
        0.0%
        1.4bp
        0.0%
        1.4bp
        L030625CR02_01
        385.5M
        300.0M
        77.8%
        300.0M
        77.8%
        0.0M
        98.0bp
        97.9bp
        103.0M
        101.8M
        102.2M
        0.4M
        0.0M
        0.5M
        0.4%
        0.0%
        1.6bp
        0.0%
        1.4bp

        Alignment Scores

        050M100M150M200M250M300M350M400M450ML030625CR02_01L030625CR01_01
        Uniquely mappedMapped to too many lociUnmapped: too shortUnmapped: otherSTAR: Alignment Scores​2 samples​# Reads
        Created with MultiQC

        Gene Counts

        Statistics from results generated using --quantMode GeneCounts. The three tabs show counts for unstranded RNA-seq, counts for the 1st read strand aligned with RNA and counts for the 2nd read strand aligned with RNA.

        050M100M150M200M250M300M350M400M450ML030625CR02_01L030625CR01_01
        Overlapping GenesNo FeatureAmbiguous FeaturesUnmappedSTAR: Gene Counts​Unstranded, 2 samples​# Reads
        Created with MultiQC

        MultiQC v1.30 - Written by Phil Ewels, available on GitHub.

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