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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 1.14

        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 2024-06-13, 09:44 PDT based on data in: /home/shared/8TB_HDD_02/shedurkin/project-cod-temperature/output/06.2-cod-RNAseq-alignment-genome/featureCounts-gene/featureCounts_gene_matrix.txt.summary

        General Statistics

        Showing 80/80 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        1
        60.1%
        13.1
        10
        55.6%
        11.6
        100
        60.9%
        11.6
        107
        61.9%
        10.8
        108
        53.6%
        12.9
        109
        58.9%
        13.9
        11
        60.8%
        13.6
        110
        63.0%
        14.0
        117
        59.3%
        14.0
        118
        61.1%
        13.7
        119
        65.0%
        15.0
        12
        58.0%
        12.5
        120
        60.2%
        13.1
        121
        43.4%
        9.5
        127
        59.7%
        14.6
        128
        58.6%
        6.0
        129
        15.4%
        2.6
        13
        54.5%
        10.6
        131
        55.6%
        5.4
        137
        58.7%
        5.0
        138
        61.4%
        5.3
        139
        60.7%
        6.1
        140
        60.0%
        5.9
        147
        58.9%
        5.2
        148
        55.1%
        14.3
        149
        33.3%
        44.0
        150
        53.1%
        15.3
        18
        56.0%
        10.5
        19
        60.4%
        11.2
        19-G
        56.5%
        13.1
        19-S
        59.2%
        15.1
        2
        63.7%
        12.9
        20
        51.9%
        9.8
        20-G
        57.8%
        14.2
        20-S
        56.2%
        9.9
        21
        55.6%
        10.3
        28
        60.3%
        11.8
        29
        54.4%
        10.8
        3
        55.4%
        12.2
        30
        58.9%
        12.1
        31
        62.1%
        12.0
        37
        62.2%
        10.3
        38
        51.8%
        10.6
        39
        58.8%
        10.8
        4
        58.2%
        12.5
        40
        48.2%
        9.2
        41
        39.2%
        8.2
        47
        59.7%
        11.5
        48
        57.7%
        12.0
        49
        59.1%
        12.2
        5
        57.6%
        12.2
        50
        60.1%
        11.7
        57
        61.5%
        12.5
        57-G
        59.7%
        17.5
        57-S
        26.6%
        4.3
        58
        55.7%
        11.4
        58-G
        59.8%
        17.8
        58-S
        51.0%
        8.4
        59
        61.7%
        11.8
        60
        57.8%
        12.4
        67
        58.4%
        12.6
        68
        57.6%
        12.4
        69
        59.3%
        10.7
        70
        58.1%
        9.3
        78
        57.0%
        11.1
        79
        61.2%
        12.1
        80
        57.3%
        8.9
        83
        62.5%
        10.7
        88
        47.2%
        10.1
        90
        53.3%
        10.3
        91
        57.8%
        12.3
        92
        59.3%
        9.1
        97
        60.5%
        11.3
        98
        49.1%
        12.4
        99
        55.0%
        10.0
        RESUB-116
        60.5%
        10.2
        RESUB-156
        62.4%
        10.7
        RESUB-36
        64.7%
        10.0
        RESUB-76
        59.0%
        9.0
        RESUB-94
        61.4%
        10.8

        featureCounts

        Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.DOI: 10.1093/bioinformatics/btt656.

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        MultiQC v1.14 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.