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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 2024-04-30, 14:20 PDT based on data in: /home/shared/8TB_HDD_02/shedurkin/project-cod-temperature/output/06.2-cod-RNAseq-alignment-genome/featureCounts_exon_matrix.txt.summary

        General Statistics

        Showing 79/79 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        1
        66.3%
        14.4
        10
        62.0%
        12.9
        100
        67.1%
        12.8
        107
        67.9%
        11.9
        108
        58.2%
        14.1
        109
        64.5%
        15.2
        11
        67.6%
        15.2
        110
        69.6%
        15.5
        117
        65.4%
        15.4
        118
        67.4%
        15.1
        119
        71.8%
        16.5
        12
        63.7%
        13.8
        120
        66.7%
        14.5
        121
        53.7%
        11.8
        127
        65.5%
        16.0
        128
        65.2%
        6.7
        129
        16.0%
        2.7
        13
        59.4%
        11.5
        131
        62.1%
        6.0
        137
        64.6%
        5.5
        138
        66.3%
        5.7
        139
        67.3%
        6.8
        140
        67.1%
        6.6
        147
        65.1%
        5.8
        148
        58.7%
        15.2
        149
        35.7%
        47.1
        150
        57.6%
        16.6
        18
        61.7%
        11.5
        19
        65.3%
        12.1
        19-G
        61.8%
        14.3
        19-S
        64.1%
        16.4
        2
        69.8%
        14.1
        20
        56.7%
        10.7
        20-G
        62.4%
        15.3
        20-S
        61.0%
        10.7
        21
        61.4%
        11.4
        28
        66.1%
        13.0
        29
        59.4%
        11.8
        3
        60.5%
        13.3
        30
        65.1%
        13.4
        31
        68.1%
        13.2
        37
        66.6%
        11.0
        38
        55.8%
        11.4
        39
        63.5%
        11.7
        4
        64.3%
        13.8
        40
        51.8%
        9.9
        41
        39.4%
        8.3
        47
        65.6%
        12.6
        48
        62.5%
        12.9
        49
        65.0%
        13.5
        5
        63.2%
        13.4
        50
        66.1%
        12.8
        57
        67.6%
        13.8
        57-G
        65.5%
        19.2
        57-S
        24.0%
        3.9
        58
        61.0%
        12.5
        58-G
        65.6%
        19.5
        58-S
        54.3%
        8.9
        59
        68.1%
        13.0
        60
        64.2%
        13.7
        67
        65.3%
        14.1
        68
        63.7%
        13.7
        69
        64.9%
        11.7
        70
        63.0%
        10.1
        78
        61.7%
        12.1
        79
        67.0%
        13.3
        80
        63.3%
        9.9
        83
        67.9%
        11.6
        88
        50.6%
        10.8
        90
        57.8%
        11.2
        91
        63.7%
        13.5
        97
        64.7%
        12.1
        98
        52.2%
        13.2
        99
        59.8%
        10.9
        RESUB-116
        67.5%
        11.3
        RESUB-156
        68.9%
        11.8
        RESUB-36
        70.7%
        10.9
        RESUB-76
        65.2%
        9.9
        RESUB-94
        68.6%
        12.0

        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.