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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 1.0.dev0

        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 2018-09-11, 15:09 based on data in: /gscratch/scrubbed/samwhite/data/O_lurida/BSseq/whole_genome_BSseq_reads/20180830_trimgalore

        Welcome! Not sure where to start?   Watch a tutorial video   (6:06)

        General Statistics

        Showing 8/8 rows and 1/1 columns.
        Sample Name% Trimmed
        1_ATCACG_L001_R1_001
        1.9%
        2_CGATGT_L001_R1_001
        2.3%
        3_TTAGGC_L001_R1_001
        2.2%
        4_TGACCA_L001_R1_001
        1.9%
        5_ACAGTG_L001_R1_001
        2.5%
        6_GCCAAT_L001_R1_001
        2.3%
        7_CAGATC_L001_R1_001
        2.0%
        8_ACTTGA_L001_R1_001
        2.5%

        Cutadapt

        Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

        This plot shows the number of reads with certain lengths of adapter trimmed. Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak may be related to adapter length. See the cutadapt documentation for more information on how these numbers are generated.

        Created with Highcharts 5.0.6Length Trimmed (bp)CountsChart context menuExport PlotLengths of Trimmed Sequences51015202530354045500500k1 000k1 500k2 000k2 500k3 000k3 500k4 000kCreated with MultiQC

        MultiQC v1.0.dev0 - Written by Phil Ewels, available on GitHub.

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