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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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        Tool Citations

        Please remember to cite the tools that you use in your analysis.

        To help with this, you can download publication details of the tools mentioned in this report:

        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 2024-10-10, 20:50 PDT based on data in: /home/shared/8TB_HDD_01/sam/gitrepos/urol-e5/timeseries_molecular/D-Apul/output/02.20-D-Apul-RNAseq-alignment-HiSat2


        General Statistics

        Showing 80/80 rows and 2/4 columns.
        Sample NameM Reads Mapped% Aligned
        1A1-hisat2_output
        37.0
        1A10-hisat2_output
        36.5
        1A10_hisat2
        70.7%
        1A12-hisat2_output
        32.7
        1A12_hisat2
        79.8%
        1A1_hisat2
        71.7%
        1A2-hisat2_output
        36.8
        1A2_hisat2
        71.4%
        1A8-hisat2_output
        30.5
        1A8_hisat2
        75.0%
        1A9-hisat2_output
        36.3
        1A9_hisat2
        72.3%
        1B1-hisat2_output
        37.6
        1B10-hisat2_output
        38.1
        1B10_hisat2
        79.4%
        1B1_hisat2
        75.4%
        1B2-hisat2_output
        37.0
        1B2_hisat2
        75.4%
        1B5-hisat2_output
        41.3
        1B5_hisat2
        80.2%
        1B9-hisat2_output
        40.9
        1B9_hisat2
        72.6%
        1C10-hisat2_output
        30.3
        1C10_hisat2
        71.7%
        1C4-hisat2_output
        36.8
        1C4_hisat2
        75.2%
        1D10-hisat2_output
        38.4
        1D10_hisat2
        76.8%
        1D3-hisat2_output
        28.2
        1D3_hisat2
        73.6%
        1D4-hisat2_output
        43.6
        1D4_hisat2
        76.1%
        1D6-hisat2_output
        33.5
        1D6_hisat2
        77.5%
        1D8-hisat2_output
        27.1
        1D8_hisat2
        69.5%
        1D9-hisat2_output
        38.3
        1D9_hisat2
        68.9%
        1E1-hisat2_output
        40.1
        1E1_hisat2
        74.3%
        1E3-hisat2_output
        34.4
        1E3_hisat2
        77.5%
        1E5-hisat2_output
        33.1
        1E5_hisat2
        78.2%
        1E9-hisat2_output
        39.3
        1E9_hisat2
        76.8%
        1F11-hisat2_output
        28.0
        1F11_hisat2
        71.3%
        1F4-hisat2_output
        32.9
        1F4_hisat2
        77.7%
        1F8-hisat2_output
        40.0
        1F8_hisat2
        73.8%
        1G5-hisat2_output
        41.8
        1G5_hisat2
        76.5%
        1H11-hisat2_output
        32.7
        1H11_hisat2
        79.8%
        1H12-hisat2_output
        27.5
        1H12_hisat2
        74.2%
        1H6-hisat2_output
        40.0
        1H6_hisat2
        73.8%
        1H7-hisat2_output
        31.5
        1H7_hisat2
        78.2%
        1H8-hisat2_output
        34.5
        1H8_hisat2
        79.1%
        2B2-hisat2_output
        45.3
        2B2_hisat2
        74.4%
        2B3-hisat2_output
        32.7
        2B3_hisat2
        72.7%
        2C1-hisat2_output
        21.4
        2C1_hisat2
        48.5%
        2C2-hisat2_output
        31.8
        2C2_hisat2
        75.0%
        2D2-hisat2_output
        39.1
        2D2_hisat2
        66.1%
        2E2-hisat2_output
        22.1
        2E2_hisat2
        56.9%
        2F1-hisat2_output
        54.0
        2F1_hisat2
        72.1%
        2G1-hisat2_output
        25.5
        2G1_hisat2
        60.6%

        Samtools

        Samtools is a suite of programs for interacting with high-throughput sequencing data.DOI: 10.1093/bioinformatics/btp352.

        Samtools Flagstat

        This module parses the output from samtools flagstat. All numbers in millions.

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        Bowtie 2 / HiSAT2

        Bowtie 2 and HISAT2 are fast and memory-efficient tools for aligning sequencing reads against a reference genome. Unfortunately both tools have identical log output by default, so it is impossible to distiguish which tool was used. .DOI: 10.1038/nmeth.1923; 10.1038/nmeth.3317; 10.1038/s41587-019-0201-4.

        Paired-end alignments

        This plot shows the number of reads aligning to the reference in different ways.

        Please note that single mate alignment counts are halved to tally with pair counts properly.

        There are 6 possible types of alignment:

        • PE mapped uniquely: Pair has only one occurence in the reference genome.
        • PE mapped discordantly uniquely: Pair has only one occurence but not in proper pair.
        • PE one mate mapped uniquely: One read of a pair has one occurence.
        • PE multimapped: Pair has multiple occurence.
        • PE one mate multimapped: One read of a pair has multiple occurence.
        • PE neither mate aligned: Pair has no occurence.
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