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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 2024-05-01, 12:33 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 79/79 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        1
        65.1%
        14.2
        10
        60.6%
        12.6
        100
        65.1%
        12.4
        107
        65.8%
        11.5
        108
        58.0%
        14.0
        109
        63.2%
        14.9
        11
        65.8%
        14.8
        110
        67.1%
        14.9
        117
        63.5%
        15.0
        118
        65.8%
        14.7
        119
        69.1%
        15.9
        12
        63.1%
        13.6
        120
        64.7%
        14.0
        121
        53.9%
        11.8
        127
        64.6%
        15.8
        128
        64.3%
        6.6
        129
        17.0%
        2.9
        13
        59.7%
        11.6
        131
        60.9%
        5.9
        137
        63.5%
        5.4
        138
        66.2%
        5.7
        139
        65.6%
        6.6
        140
        65.4%
        6.4
        147
        64.1%
        5.7
        148
        59.2%
        15.3
        149
        35.6%
        47.0
        150
        56.6%
        16.3
        18
        60.9%
        11.4
        19
        64.6%
        11.9
        19-G
        62.3%
        14.5
        19-S
        64.4%
        16.4
        2
        68.2%
        13.8
        20
        56.4%
        10.6
        20-G
        63.4%
        15.6
        20-S
        61.9%
        10.9
        21
        60.7%
        11.3
        28
        64.9%
        12.8
        29
        59.8%
        11.9
        3
        60.1%
        13.2
        30
        64.1%
        13.2
        31
        67.6%
        13.1
        37
        66.3%
        11.0
        38
        55.3%
        11.3
        39
        63.0%
        11.6
        4
        64.1%
        13.8
        40
        51.3%
        9.8
        41
        41.9%
        8.8
        47
        64.1%
        12.3
        48
        61.1%
        12.7
        49
        64.2%
        13.3
        5
        62.1%
        13.2
        50
        65.2%
        12.7
        57
        66.2%
        13.5
        57-G
        65.4%
        19.1
        57-S
        30.2%
        4.9
        58
        60.7%
        12.4
        58-G
        66.0%
        19.6
        58-S
        55.2%
        9.1
        59
        66.6%
        12.7
        60
        62.8%
        13.4
        67
        63.5%
        13.7
        68
        62.8%
        13.5
        69
        64.0%
        11.6
        70
        62.1%
        9.9
        78
        60.3%
        11.8
        79
        65.6%
        13.0
        80
        61.7%
        9.6
        83
        66.2%
        11.3
        88
        51.1%
        10.9
        90
        57.1%
        11.0
        91
        62.7%
        13.3
        97
        63.7%
        11.9
        98
        52.1%
        13.1
        99
        59.7%
        10.8
        RESUB-116
        65.2%
        11.0
        RESUB-156
        66.9%
        11.5
        RESUB-36
        68.6%
        10.6
        RESUB-76
        63.3%
        9.6
        RESUB-94
        66.5%
        11.6

        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.