MoP4 - pipeline

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        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

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        About MultiQC

        This report was generated using MultiQC, version 1.27.1

        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

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        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

        MoP4 - pipeline

        Please cite
        Cozzuto L, Liu H, Pryszcz LP, Pulido TH, Delgado-Tejedor A, Ponomarenko J, Novoa EM. MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets. Front Genet. 2020 Mar 17;11:211. doi: 10.3389/fgene.2020.00211
        And
        Cozzuto L, Delgado-Tejedor A, Hermoso Pulido T, Novoa EM, Ponomarenko J. Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores. N. Methods Mol Biol. 2023;2624:185-205. doi: 10.1007/978-1-0716-2962-8_13.
        Report generated on 2025-04-10, 15:07 UTC based on data in: /Users/lcozzuto/ooo/master_of_pores/mop_preprocess/work/2f/23940b8b15fa3637ffdc8db2bfc7ba

        General Statistics

        Showing 2/2 rows and 4/16 columns.
        Sample NameReadsBasesRead N50Longest ReadShortest ReadMean LengthMedian LengthMean QualMedian QualMedian lengthRead N50Median QualMedian Identity# Reads (K)Total Bases (Mb)Aligned Bases (Mb)
        mod
        0.0M
        0.4Mb
        1753bp
        3529bp
        1bp
        867.0bp
        519
        6.5
        6.8
        1227bp
        1808bp
        7.8
        83.3%
        0.3K
        0.4Mb
        0.4Mb
        wt
        0.0M
        0.4Mb
        1762bp
        6772bp
        1bp
        838.0bp
        413
        6.2
        6.8
        1444bp
        1783bp
        8.2
        84.6%
        0.2K
        0.3Mb
        0.3Mb

        Assigned counts

        Showing 2/2 rows.
        File nameCounts
        mod
        256
        wt
        233

        Alignment QC

        Showing 2/2 rows and 7/7 columns.
        File nameMapped readsMap %BasesBases %Avg read lengthMax read lengthidentity
        mod_s.bam
        254
        100.0%
        363166
        97.9%
        1460
        3529
        81.20%
        wt_s.bam
        231
        100.0%
        338752
        98.0%
        1496
        3456
        82.46%

        nanoq

        Reports read quality and length from nanopore sequencing data.URL: https://github.com/nerdna/nanoqDOI: 10.21105/joss.02991

        Nanoq Summary

        Statistics from Nanoq reports

        Showing 2/2 rows and 9/9 columns.
        Sample NameReadsBasesRead N50Longest ReadShortest ReadMean LengthMedian LengthMean QualMedian Qual
        mod
        0.0M
        0.4Mb
        1753bp
        3529bp
        1bp
        867.0bp
        519
        6.5
        6.8
        wt
        0.0M
        0.4Mb
        1762bp
        6772bp
        1bp
        838.0bp
        413
        6.2
        6.8

        Read quality

        Read counts categorised by read quality (Phred score).

        Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.

        Created with MultiQC

        Read lengths

        Read counts categorised by read length.

        Created with MultiQC

        NanoStat

        Reports various statistics for long read dataset in FASTQ, BAM, or albacore sequencing summary format (supports NanoPack; NanoPlot, NanoComp).URL: https://github.com/wdecoster/nanostat; https://github.com/wdecoster/nanoplotDOI: 10.1093/bioinformatics/bty149

        Programs are part of the NanoPack family for summarising results of sequencing on Oxford Nanopore methods (MinION, PromethION etc.)

        Summary Statistics (Aligned)

        Showing 2/2 rows and 7/10 columns.
        Sample NameMedian lengthMean lengthRead N50Median QualMean QualMedian IdentityMean Identity# Reads (K)Total Bases (Mb)Aligned Bases (Mb)
        mod
        1227bp
        1450bp
        1808bp
        7.8
        7.8
        83.3%
        82.2%
        0.3K
        0.4Mb
        0.4Mb
        wt
        1444bp
        1488bp
        1783bp
        8.2
        8.1
        84.6%
        83.3%
        0.2K
        0.3Mb
        0.3Mb

        Reads by quality

        Read counts categorised by read quality (Phred score).

        Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.

        Created with MultiQC