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        Note that additional data was saved in multiqc_data when this report was generated.


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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 1.9

        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 2021-09-22, 13:07 based on data in: /beevol/home/ruifu/projects/scraps091721/scraps


        General Statistics

        Showing 7/7 rows and 5/5 columns.
        Sample Name% BP Trimmed% AlignedM Aligned% AssignedM Assigned
        62
        1.6%
        test2_R1
        0.0%
        0.0
        0.0
        test2_R2
        79.4%
        0.0
        21.2%
        0.0
        test3_R1
        22.9%
        0.0
        8.1%
        0.0
        test3_R2
        68.3%
        0.0
        19.9%
        0.0
        test_R1
        39.0%
        0.0
        18.0%
        0.0
        test_R2
        85.3%
        0.0
        26.2%
        0.0

        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.

        Filtered Reads

        This plot shows the number of reads (SE) / pairs (PE) removed by Cutadapt.

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        Trimmed Sequence Lengths

        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.

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        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        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.

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