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        Note that additional data was saved in multiqc_report_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 1.12

        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

        BJ-WGS v1.6.0

        The report aggregates all metrics from WGS analyses to help evaluate the performance of single-cell libraries.

        Report generated on 2022-10-27, 05:37 based on data in: /tmp/nxf.hr8t7eMAbs


        General Statistics

        Showing 4/4 rows and 4/6 columns.
        Sample NameChange rateTs/TvM VariantsInsert Size
        MultiSample
        109179
        2.632
        0.03
        NA12878v2-SC1
        132905
        2.592
        0.02
        299 bp
        NA12878v2-SC2
        135103
        2.633
        0.02
        275 bp
        NA12878v2-SC3
        143433
        2.659
        0.02
        292 bp

        All Metrics

        All metrics generated by the nf-wgs-pipeline.

        All metrics generated by the nf-wgs-pipeline

        Showing 3/3 rows and 88/88 columns.
        sample_nameMean Read LengthSampled ReadsPF ReadsProportion PF ReadsPF Noise ReadsPF Reads AlignedProportion PF Reads AlignedPF Aligned BasesPF HQ Aligned ReadsPF HQ Aligned BasesPF HQ Aligned Q20 BasesPF HQ Median MismatchesPF Mismatch RatePF HQ Error RatePF Indel RateReads Aligned in PairsProportion Reads Aligned in PairsBad CyclesStrand BalanceProportion ChimerasProportion Adapterschr1chr2chr3chr4chr5chr6chr7chr8chr9chr10chr11chr12chr13chr14chr15chr16chr17chr18chr19chr20chr21chr22chrXchrYchrMGenome TerritoryMean CoverageSD CoverageMedian CoverageMAD CoveragePCT_EXC_UNPAIREDPCT_EXC_CAPPEDPCT_EXC_TOTALPCT_1XPCT_5XHET_SNP_SENSITIVITYHET_SNP_QWINDOW_SIZETOTAL_CLUSTERSALIGNED_READSNC GC 0-19NC GC 20-39NC GC 40-59NC GC 60-79NC GC 80-100Median Insert SizeMedian Absolute DeviationMin Insert SizeMax Insert SizeMean Insert SizeStandard DeviationRead PairsUnpaired Reads ExaminedRead Pairs ExaminedSecondary ReadsUnmapped ReadsUnpaired Read DuplicatesRead Pair DuplicatesRead Pair Optical DuplicatesProportion DuplicationEstimated Library SizePCT_EXC_DUPEPCT_EXC_MAPQPCT_EXC_BASEQPCT_EXC_OVERLAPAT_DROPOUTGC_DROPOUT
        NA12878v2-SC1
        151
        1061577200
        1061577200
        1.00
        0
        1059835667
        1.00
        155115071342
        1012247265
        148902436873
        140288718472
        1.0000
        0.0084
        0.0081
        0.0003
        1058094134
        0.9984
        0.0000
        0.5006
        0.0715
        0.0000
        0.081
        0.089
        0.075
        0.070
        0.066
        0.063
        0.055
        0.050
        0.042
        0.042
        0.044
        0.043
        0.033
        0.031
        0.027
        0.024
        0.020
        0.027
        0.012
        0.020
        0.015
        0.009
        0.060
        0.001
        0.003
        2745186691
        42.032
        29.740
        37.000
        17.000
        0.001
        0.005
        0.206
        0.974
        0.944
        0.9540
        13.0000
        100
        547106727
        1093546373
        0.63
        1.11
        0.96
        0.38
        1.73
        300
        83.0
        2
        248671763
        325
        135.4
        501740137
        3882498
        634113914
        46011815
        4482540
        2130533
        100595009
        5076394
        0.160
        1855797680
        0.00
        0.04
        0.06
        0.10
        1.81
        6.94
        NA12878v2-SC2
        151
        822813331
        822813331
        1.00
        0
        821190005
        1.00
        119116461996
        778735433
        113628192601
        106998852217
        1.0000
        0.0087
        0.0083
        0.0003
        819566679
        0.9980
        0.0000
        0.5006
        0.0705
        0.0000
        0.079
        0.086
        0.072
        0.074
        0.067
        0.058
        0.054
        0.052
        0.041
        0.046
        0.046
        0.046
        0.036
        0.030
        0.027
        0.022
        0.021
        0.028
        0.012
        0.021
        0.014
        0.009
        0.055
        0.001
        0.003
        2745186691
        30.996
        20.531
        28.000
        12.000
        0.002
        0.004
        0.241
        0.974
        0.939
        0.9514
        13.0000
        100
        424973668
        849109853
        0.61
        1.10
        0.96
        0.39
        1.85
        275
        84.0
        2
        248935523
        304
        139.8
        390053362
        3108920
        476606454
        38087675
        3486386
        1475308
        62610142
        3746089
        0.132
        1738138138
        0.00
        0.05
        0.06
        0.13
        1.84
        6.89
        NA12878v2-SC3
        151
        884654683
        884654683
        1.00
        0
        883284330
        1.00
        129194634102
        843627421
        123955349095
        116846647980
        1.0000
        0.0084
        0.0081
        0.0003
        881913977
        0.9984
        0.0000
        0.5005
        0.0638
        0.0000
        0.077
        0.087
        0.068
        0.075
        0.067
        0.059
        0.054
        0.052
        0.042
        0.043
        0.046
        0.043
        0.037
        0.031
        0.027
        0.026
        0.021
        0.028
        0.011
        0.019
        0.014
        0.009
        0.062
        0.001
        0.003
        2745186691
        34.455
        23.370
        31.000
        14.000
        0.001
        0.003
        0.217
        0.973
        0.935
        0.9476
        13.0000
        100
        454321214
        908143279
        0.66
        1.13
        0.93
        0.36
        1.58
        293
        89.0
        2
        248582777
        324
        146.9
        420800286
        2797884
        520924336
        33991635
        3263716
        1418678
        75988641
        4100188
        0.147
        1681193878
        0.00
        0.04
        0.05
        0.12
        1.93
        7.70

        Selected Metrics

        Selected metrics are subset of all metrics that provides overview of the sample quality assessment.

        Showing 3/3 rows and 5/5 columns.
        sample_name% chrM% Chimeras% Aligned% ErrorInsert Size
        NA12878v2-SC1
        0.26
        7.15
        99.84
        0.81
        300
        NA12878v2-SC2
        0.26
        7.05
        99.80
        0.83
        275
        NA12878v2-SC3
        0.26
        6.38
        99.84
        0.81
        293

        SnpEff

        SnpEff is a genetic variant annotation and effect prediction toolbox. It annotates and predicts the effects of variants on genes (such as amino acid changes). .DOI: 10.4161/fly.19695.

        Variants by Genomic Region

        The stacked bar plot shows locations of detected variants in the genome and the number of variants for each location.

        The upstream and downstream interval size to detect these genomic regions is 5000bp by default.

        loading..

        Variant Effects by Impact

        The stacked bar plot shows the putative impact of detected variants and the number of variants for each impact.

        There are four levels of impacts predicted by SnpEff:

        • High: High impact (like stop codon)
        • Moderate: Middle impact (like same type of amino acid substitution)
        • Low: Low impact (ie silence mutation)
        • Modifier: No impact
        loading..

        Variants by Effect Types

        The stacked bar plot shows the effect of variants at protein level and the number of variants for each effect type.

        This plot shows the effect of variants with respect to the mRNA.

        loading..

        Variants by Functional Class

        The stacked bar plot shows the effect of variants and the number of variants for each effect type.

        This plot shows the effect of variants on the translation of the mRNA as protein. There are three possible cases:

        • Silent: The amino acid does not change.
        • Missense: The amino acid is different.
        • Nonsense: The variant generates a stop codon.
        loading..

        Variant Qualities

        The line plot shows the quantity as function of the variant quality score.

        The quality score corresponds to the QUAL column of the VCF file. This score is set by the variant caller.

        loading..

        Sentieon

        Sentieon contains a suite of QC tools. The ones represented in this module are analogues of Picard QC metrics.

        Alignment Summary

        Please note that Sentieon's read counts are divided by two for paired-end data.

        loading..

        GC Coverage Bias

        This plot shows bias in coverage across regions of the genome with varying GC content. A perfect library would be a flat line at y = 1.

        loading..

        Insert Size

        Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

        loading..