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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, 09:42 PDT based on data in: /home/shared/8TB_HDD_02/shedurkin/project-cod-temperature/output/06.2-cod-RNAseq-alignment-genome/featureCounts-exon/featureCounts_exon_matrix.txt.summary

        General Statistics

        Showing 80/80 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        1
        61.6%
        13.4
        10
        57.1%
        11.9
        100
        62.8%
        12.0
        107
        64.2%
        11.2
        108
        53.9%
        13.0
        109
        60.6%
        14.3
        11
        62.8%
        14.1
        110
        65.4%
        14.5
        117
        61.1%
        14.4
        118
        62.8%
        14.1
        119
        67.7%
        15.6
        12
        59.2%
        12.8
        120
        62.1%
        13.5
        121
        43.5%
        9.5
        127
        61.0%
        14.9
        128
        60.1%
        6.1
        129
        15.0%
        2.5
        13
        55.0%
        10.7
        131
        56.8%
        5.5
        137
        60.2%
        5.1
        138
        62.3%
        5.4
        139
        62.4%
        6.3
        140
        61.8%
        6.1
        147
        60.2%
        5.4
        148
        55.3%
        14.3
        149
        33.6%
        44.4
        150
        54.2%
        15.6
        18
        57.2%
        10.7
        19
        61.5%
        11.4
        19-G
        56.4%
        13.1
        19-S
        59.3%
        15.1
        2
        65.5%
        13.3
        20
        52.8%
        9.9
        20-G
        57.2%
        14.0
        20-S
        55.8%
        9.8
        21
        56.7%
        10.5
        28
        61.8%
        12.1
        29
        54.8%
        10.9
        3
        56.3%
        12.4
        30
        60.3%
        12.4
        31
        63.0%
        12.2
        37
        63.0%
        10.4
        38
        52.6%
        10.8
        39
        59.9%
        11.0
        4
        59.3%
        12.7
        40
        48.9%
        9.4
        41
        37.5%
        7.9
        47
        61.3%
        11.8
        48
        59.2%
        12.3
        49
        60.0%
        12.4
        5
        58.8%
        12.5
        50
        61.3%
        11.9
        57
        63.0%
        12.8
        57-G
        60.1%
        17.6
        57-S
        21.8%
        3.5
        58
        56.3%
        11.5
        58-G
        59.8%
        17.8
        58-S
        50.6%
        8.3
        59
        63.6%
        12.1
        60
        59.2%
        12.7
        67
        60.2%
        13.0
        68
        58.7%
        12.6
        69
        60.5%
        10.9
        70
        59.1%
        9.4
        78
        58.4%
        11.4
        79
        62.8%
        12.5
        80
        58.9%
        9.2
        83
        64.2%
        11.0
        88
        47.4%
        10.1
        90
        54.2%
        10.5
        91
        59.1%
        12.6
        92
        61.2%
        9.4
        97
        61.8%
        11.5
        98
        49.5%
        12.5
        99
        55.6%
        10.1
        RESUB-116
        62.7%
        10.5
        RESUB-156
        64.4%
        11.1
        RESUB-36
        66.8%
        10.3
        RESUB-76
        60.9%
        9.3
        RESUB-94
        63.5%
        11.1

        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.