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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 1.7

        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 2019-02-18, 18:50 based on data in: /home/tavinbio/driver/Transcritoma_Virus_Renato-117509392/STAR_2019-02-09/bam_name/htseq

        General Statistics

        Showing 36/36 rows and 2/2 columns.
        Sample Name% AssignedM Assigned
        ChikV1_L001_sorted_name_count
        2.0%
        0.2
        ChikV1_L002_sorted_name_count
        2.0%
        0.2
        ChikV1_L003_sorted_name_count
        2.0%
        0.2
        ChikV1_L004_sorted_name_count
        2.0%
        0.2
        ChikV2_L001_sorted_name_count
        2.3%
        0.2
        ChikV2_L002_sorted_name_count
        2.3%
        0.2
        ChikV2_L003_sorted_name_count
        2.3%
        0.3
        ChikV2_L004_sorted_name_count
        2.3%
        0.3
        ChikV3_L001_sorted_name_count
        0.9%
        0.3
        ChikV3_L002_sorted_name_count
        0.9%
        0.3
        ChikV3_L003_sorted_name_count
        0.9%
        0.3
        ChikV3_L004_sorted_name_count
        0.9%
        0.3
        MayV1_L001_sorted_name_count
        2.8%
        0.3
        MayV1_L002_sorted_name_count
        2.8%
        0.3
        MayV1_L003_sorted_name_count
        2.8%
        0.3
        MayV1_L004_sorted_name_count
        2.8%
        0.3
        MayV2_L001_sorted_name_count
        3.2%
        0.3
        MayV2_L002_sorted_name_count
        3.2%
        0.3
        MayV2_L003_sorted_name_count
        3.2%
        0.3
        MayV2_L004_sorted_name_count
        3.2%
        0.3
        MayV3_L001_sorted_name_count
        2.3%
        0.3
        MayV3_L002_sorted_name_count
        2.4%
        0.3
        MayV3_L003_sorted_name_count
        2.3%
        0.3
        MayV3_L004_sorted_name_count
        2.4%
        0.3
        Mock4_L001_sorted_name_count
        5.4%
        2.0
        Mock4_L002_sorted_name_count
        5.4%
        1.9
        Mock4_L003_sorted_name_count
        5.4%
        2.0
        Mock4_L004_sorted_name_count
        5.4%
        2.0
        Mock5_L001_sorted_name_count
        7.1%
        2.4
        Mock5_L002_sorted_name_count
        7.2%
        2.4
        Mock5_L003_sorted_name_count
        7.1%
        2.4
        Mock5_L004_sorted_name_count
        7.2%
        2.4
        Mock6_L001_sorted_name_count
        26.4%
        5.1
        Mock6_L002_sorted_name_count
        26.6%
        5.1
        Mock6_L003_sorted_name_count
        26.3%
        5.2
        Mock6_L004_sorted_name_count
        26.6%
        5.2

        HTSeq Count

        HTSeq Count is part of the HTSeq Python package - it takes a file with aligned sequencing reads, plus a list of genomic features and counts how many reads map to each feature.

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        MultiQC v1.7 - Written by Phil Ewels, available on GitHub.

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