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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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        This report was generated using MultiQC, version 1.12

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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

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-05-03, 14:58 based on data in: /scratch/7034305.1.linga/nxf.Q7noJH7yS5


        General Statistics

        Showing 290/290 rows and 15/20 columns.
        Sample NameM Reads MappedFragment LengthNumber of Peaks% AlignedInsert SizeError rateM Non-PrimaryM Reads Mapped% Mapped% Proper PairsM Total seqs% Aligned% Dups% GCM Seqs
        G222_M09
        93.8%
        G222_M09_1
        13.0%
        51%
        15.0
        G222_M09_2
        12.1%
        51%
        15.0
        G222_M09_narrow_MACS2
        263
        39236
        G222_M09_sorted_filtered
        21.8
        100%
        249 bp
        0.78%
        0.0
        21.8
        100.0%
        100.0%
        21.8
        G222_M10
        91.6%
        G222_M10_1
        14.5%
        50%
        10.2
        G222_M10_2
        13.5%
        50%
        10.2
        G222_M10_narrow_MACS2
        247
        31345
        G222_M10_sorted_filtered
        13.5
        100%
        233 bp
        0.79%
        0.0
        13.5
        100.0%
        100.0%
        13.5
        G222_M11
        94.3%
        G222_M11_1
        15.2%
        51%
        13.9
        G222_M11_2
        14.2%
        51%
        13.9
        G222_M11_narrow_MACS2
        251
        39659
        G222_M11_sorted_filtered
        19.7
        100%
        239 bp
        0.80%
        0.0
        19.7
        100.0%
        100.0%
        19.7
        G222_M12
        90.2%
        G222_M12_1
        16.1%
        48%
        16.3
        G222_M12_2
        15.4%
        48%
        16.3
        G222_M12_narrow_MACS2
        242
        31175
        G222_M12_sorted_filtered
        20.2
        100%
        229 bp
        0.76%
        0.0
        20.2
        100.0%
        100.0%
        20.2
        G222_M16
        96.5%
        G222_M16_1
        13.2%
        48%
        19.1
        G222_M16_2
        11.4%
        48%
        19.1
        G222_M16_narrow_MACS2
        286
        42904
        G222_M16_sorted_filtered
        28.9
        100%
        275 bp
        0.82%
        0.0
        28.9
        100.0%
        100.0%
        28.9
        G222_M17
        96.3%
        G222_M17_1
        15.9%
        43%
        21.8
        G222_M17_2
        14.1%
        44%
        21.8
        G222_M17_narrow_MACS2
        293
        27069
        G222_M17_sorted_filtered
        29.5
        100%
        283 bp
        0.82%
        0.0
        29.5
        100.0%
        100.0%
        29.5
        G222_M18
        96.3%
        G222_M18_1
        15.4%
        44%
        11.0
        G222_M18_2
        13.5%
        44%
        11.0
        G222_M18_narrow_MACS2
        331
        21134
        G222_M18_sorted_filtered
        14.1
        100%
        330 bp
        0.86%
        0.0
        14.1
        100.0%
        100.0%
        14.1
        G222_M19
        96.7%
        G222_M19_1
        15.0%
        46%
        20.3
        G222_M19_2
        13.8%
        46%
        20.3
        G222_M19_narrow_MACS2
        301
        40140
        G222_M19_sorted_filtered
        29.3
        100%
        294 bp
        0.77%
        0.0
        29.3
        100.0%
        100.0%
        29.3
        G222_M20
        96.1%
        G222_M20_1
        17.4%
        45%
        15.5
        G222_M20_2
        16.1%
        45%
        15.5
        G222_M20_narrow_MACS2
        301
        27242
        G222_M20_sorted_filtered
        20.2
        100%
        294 bp
        0.81%
        0.0
        20.2
        100.0%
        100.0%
        20.2
        G223_M01D
        87.5%
        G223_M01D_1
        18.1%
        48%
        58.3
        G223_M01D_2
        16.3%
        48%
        58.3
        G223_M01D_narrow_MACS2
        272
        66217
        G223_M01D_sorted_filtered
        70.4
        100%
        261 bp
        1.04%
        0.0
        70.4
        100.0%
        100.0%
        70.4
        G223_M02
        75.1%
        G223_M02_1
        10.6%
        48%
        13.3
        G223_M02_2
        10.5%
        50%
        13.3
        G223_M02_narrow_MACS2
        271
        30617
        G223_M02_sorted_filtered
        13.0
        100%
        255 bp
        2.23%
        0.0
        13.0
        100.0%
        100.0%
        13.0
        G223_M03
        76.6%
        G223_M03_1
        12.5%
        49%
        26.2
        G223_M03_2
        11.6%
        50%
        26.2
        G223_M03_narrow_MACS2
        259
        42511
        G223_M03_sorted_filtered
        26.7
        100%
        244 bp
        2.66%
        0.0
        26.7
        100.0%
        100.0%
        26.7
        G223_M04
        71.5%
        G223_M04_1
        20.3%
        50%
        57.7
        G223_M04_2
        17.6%
        51%
        57.7
        G223_M04_narrow_MACS2
        259
        58958
        G223_M04_sorted_filtered
        47.6
        100%
        245 bp
        2.04%
        0.0
        47.6
        100.0%
        100.0%
        47.6
        G223_M05
        78.7%
        G223_M05_1
        12.8%
        48%
        9.6
        G223_M05_2
        12.8%
        50%
        9.6
        G223_M05_narrow_MACS2
        268
        26235
        G223_M05_sorted_filtered
        9.8
        100%
        254 bp
        2.02%
        0.0
        9.8
        100.0%
        100.0%
        9.8
        G223_M06
        61.0%
        G223_M06_1
        27.7%
        54%
        29.1
        G223_M06_2
        26.6%
        58%
        29.1
        G223_M06_narrow_MACS2
        260
        39020
        G223_M06_sorted_filtered
        21.9
        100%
        242 bp
        2.55%
        0.0
        21.9
        100.0%
        100.0%
        21.9
        G223_M07
        80.2%
        G223_M07_1
        12.2%
        52%
        11.1
        G223_M07_2
        11.7%
        53%
        11.1
        G223_M07_narrow_MACS2
        242
        28985
        G223_M07_sorted_filtered
        12.4
        100%
        230 bp
        2.36%
        0.0
        12.4
        100.0%
        100.0%
        12.4
        G223_M08
        83.8%
        G223_M08_1
        17.4%
        53%
        31.3
        G223_M08_2
        16.8%
        54%
        31.3
        G223_M08_narrow_MACS2
        270
        55968
        G223_M08_sorted_filtered
        37.7
        100%
        257 bp
        1.50%
        0.0
        37.7
        100.0%
        100.0%
        37.7
        G223_M09
        83.9%
        G223_M09_1
        18.4%
        53%
        28.2
        G223_M09_2
        17.3%
        53%
        28.2
        G223_M09_narrow_MACS2
        272
        52267
        G223_M09_sorted_filtered
        33.2
        100%
        259 bp
        1.05%
        0.0
        33.2
        100.0%
        100.0%
        33.2
        G223_M10
        85.9%
        G223_M10_1
        16.5%
        48%
        32.3
        G223_M10_2
        15.2%
        48%
        32.3
        G223_M10_narrow_MACS2
        267
        51720
        G223_M10_sorted_filtered
        36.2
        100%
        255 bp
        1.27%
        0.0
        36.2
        100.0%
        100.0%
        36.2
        G223_M11
        62.1%
        G223_M11_1
        31.6%
        52%
        39.6
        G223_M11_2
        29.8%
        55%
        39.6
        G223_M11_narrow_MACS2
        255
        42707
        G223_M11_sorted_filtered
        28.2
        100%
        238 bp
        1.35%
        0.0
        28.2
        100.0%
        100.0%
        28.2
        G223_M12
        80.3%
        G223_M12_1
        20.6%
        47%
        41.6
        G223_M12_2
        18.6%
        48%
        41.6
        G223_M12_narrow_MACS2
        266
        49249
        G223_M12_sorted_filtered
        40.7
        100%
        252 bp
        1.33%
        0.0
        40.7
        100.0%
        100.0%
        40.7
        G223_M13
        76.2%
        G223_M13_1
        19.8%
        48%
        19.8
        G223_M13_2
        18.3%
        49%
        19.8
        G223_M13_narrow_MACS2
        240
        36818
        G223_M13_sorted_filtered
        18.2
        100%
        225 bp
        1.58%
        0.0
        18.2
        100.0%
        100.0%
        18.2
        G223_M14
        77.0%
        G223_M14_1
        16.6%
        49%
        16.5
        G223_M14_2
        15.3%
        50%
        16.5
        G223_M14_narrow_MACS2
        243
        31824
        G223_M14_sorted_filtered
        15.9
        100%
        228 bp
        2.27%
        0.0
        15.9
        100.0%
        100.0%
        15.9
        G223_M15
        54.9%
        G223_M15_1
        30.9%
        56%
        23.6
        G223_M15_2
        28.9%
        60%
        23.6
        G223_M15_narrow_MACS2
        247
        34640
        G223_M15_sorted_filtered
        16.4
        100%
        230 bp
        2.33%
        0.0
        16.4
        100.0%
        100.0%
        16.4
        G223_M16
        71.2%
        G223_M16_1
        15.6%
        49%
        10.3
        G223_M16_2
        15.7%
        51%
        10.3
        G223_M16_narrow_MACS2
        258
        23493
        G223_M16_sorted_filtered
        8.9
        100%
        242 bp
        2.46%
        0.0
        8.9
        100.0%
        100.0%
        8.9
        G223_M17
        75.0%
        G223_M17_1
        11.0%
        46%
        9.8
        G223_M17_2
        10.9%
        48%
        9.8
        G223_M17_narrow_MACS2
        256
        24489
        G223_M17_sorted_filtered
        9.0
        100%
        242 bp
        2.82%
        0.0
        9.0
        100.0%
        100.0%
        9.0
        G223_M18
        45.0%
        G223_M18_1
        56.2%
        58%
        13.6
        G223_M18_2
        55.7%
        66%
        13.6
        G223_M18_narrow_MACS2
        236
        39550
        G223_M18_sorted_filtered
        8.2
        100%
        224 bp
        3.26%
        0.0
        8.2
        100.0%
        100.0%
        8.2
        G223_M19
        77.0%
        G223_M19_1
        11.1%
        48%
        9.3
        G223_M19_2
        10.9%
        49%
        9.3
        G223_M19_narrow_MACS2
        276
        23589
        G223_M19_sorted_filtered
        9.2
        100%
        264 bp
        2.11%
        0.0
        9.2
        100.0%
        100.0%
        9.2
        G223_M20
        76.4%
        G223_M20_1
        16.9%
        52%
        23.6
        G223_M20_2
        15.7%
        53%
        23.6
        G223_M20_narrow_MACS2
        250
        40855
        G223_M20_sorted_filtered
        24.3
        100%
        233 bp
        1.98%
        0.0
        24.3
        100.0%
        100.0%
        24.3
        G223_M21
        90.7%
        G223_M21_1
        14.6%
        48%
        16.5
        G223_M21_2
        14.4%
        48%
        16.5
        G223_M21_narrow_MACS2
        303
        36571
        G223_M21_sorted_filtered
        20.8
        100%
        295 bp
        1.05%
        0.0
        20.8
        100.0%
        100.0%
        20.8
        G223_M22
        82.4%
        G223_M22_1
        14.1%
        48%
        24.0
        G223_M22_2
        13.7%
        49%
        24.0
        G223_M22_narrow_MACS2
        291
        38970
        G223_M22_sorted_filtered
        26.0
        100%
        281 bp
        1.90%
        0.0
        26.0
        100.0%
        100.0%
        26.0
        G223_M23
        81.9%
        G223_M23_1
        9.7%
        49%
        12.7
        G223_M23_2
        9.7%
        50%
        12.7
        G223_M23_narrow_MACS2
        259
        36682
        G223_M23_sorted_filtered
        15.2
        100%
        247 bp
        2.36%
        0.0
        15.2
        100.0%
        100.0%
        15.2
        G223_M24
        70.9%
        G223_M24_1
        14.4%
        48%
        40.1
        G223_M24_2
        13.3%
        50%
        40.1
        G223_M24_narrow_MACS2
        266
        50133
        G223_M24_sorted_filtered
        36.5
        100%
        248 bp
        2.56%
        0.0
        36.5
        100.0%
        100.0%
        36.5
        G223_M25D
        84.2%
        G223_M25D_1
        19.5%
        52%
        35.2
        G223_M25D_2
        17.6%
        52%
        35.2
        G223_M25D_narrow_MACS2
        261
        44196
        G223_M25D_sorted_filtered
        39.9
        100%
        244 bp
        1.33%
        0.0
        39.9
        100.0%
        100.0%
        39.9
        G223_M26
        89.0%
        G223_M26_1
        16.4%
        53%
        15.7
        G223_M26_2
        16.2%
        53%
        15.7
        G223_M26_narrow_MACS2
        280
        35136
        G223_M26_sorted_filtered
        19.6
        100%
        268 bp
        1.23%
        0.0
        19.6
        100.0%
        100.0%
        19.6
        G223_M27
        82.9%
        G223_M27_1
        15.1%
        47%
        45.9
        G223_M27_2
        14.8%
        49%
        45.9
        G223_M27_narrow_MACS2
        269
        53853
        G223_M27_sorted_filtered
        50.9
        100%
        252 bp
        2.95%
        0.0
        50.9
        100.0%
        100.0%
        50.9
        G223_M28
        78.4%
        G223_M28_1
        9.2%
        48%
        3.0
        G223_M28_2
        9.7%
        49%
        3.0
        G223_M28_narrow_MACS2
        275
        14709
        G223_M28_sorted_filtered
        3.1
        100%
        261 bp
        2.94%
        0.0
        3.1
        100.0%
        100.0%
        3.1
        G223_M29
        83.3%
        G223_M29_1
        14.8%
        48%
        18.7
        G223_M29_2
        14.4%
        49%
        18.7
        G223_M29_narrow_MACS2
        290
        35821
        G223_M29_sorted_filtered
        19.6
        100%
        277 bp
        1.82%
        0.0
        19.6
        100.0%
        100.0%
        19.6
        G223_M30D
        86.0%
        G223_M30D_1
        15.5%
        47%
        38.8
        G223_M30D_2
        14.3%
        48%
        38.8
        G223_M30D_narrow_MACS2
        264
        47169
        G223_M30D_sorted_filtered
        42.6
        100%
        250 bp
        1.44%
        0.0
        42.6
        100.0%
        100.0%
        42.6
        G223_M31
        67.2%
        G223_M31_1
        15.0%
        49%
        13.8
        G223_M31_2
        13.3%
        50%
        13.8
        G223_M31_narrow_MACS2
        236
        28388
        G223_M31_sorted_filtered
        11.9
        100%
        220 bp
        3.31%
        0.0
        11.9
        100.0%
        100.0%
        11.9
        G223_M32
        77.7%
        G223_M32_1
        10.7%
        47%
        9.4
        G223_M32_2
        10.1%
        48%
        9.4
        G223_M32_narrow_MACS2
        257
        27349
        G223_M32_sorted_filtered
        9.5
        100%
        240 bp
        2.79%
        0.0
        9.5
        100.0%
        100.0%
        9.5
        G223_M33
        73.3%
        G223_M33_1
        10.3%
        47%
        7.5
        G223_M33_2
        9.3%
        48%
        7.5
        G223_M33_narrow_MACS2
        240
        25274
        G223_M33_sorted_filtered
        7.6
        100%
        225 bp
        3.48%
        0.0
        7.6
        100.0%
        100.0%
        7.6
        G223_M34
        76.0%
        G223_M34_1
        16.3%
        51%
        14.1
        G223_M34_2
        14.9%
        52%
        14.1
        G223_M34_narrow_MACS2
        244
        27157
        G223_M34_sorted_filtered
        14.2
        100%
        230 bp
        1.86%
        0.0
        14.2
        100.0%
        100.0%
        14.2
        G223_M35
        71.5%
        G223_M35_1
        10.6%
        49%
        4.5
        G223_M35_2
        9.5%
        50%
        4.5
        G223_M35_narrow_MACS2
        255
        14371
        G223_M35_sorted_filtered
        4.1
        100%
        241 bp
        2.88%
        0.0
        4.1
        100.0%
        100.0%
        4.1
        G223_M36
        75.8%
        G223_M36_1
        15.4%
        48%
        22.7
        G223_M36_2
        13.5%
        49%
        22.7
        G223_M36_narrow_MACS2
        243
        41020
        G223_M36_sorted_filtered
        21.9
        100%
        227 bp
        1.52%
        0.0
        21.9
        100.0%
        100.0%
        21.9
        G223_M37
        69.2%
        G223_M37_1
        11.7%
        48%
        12.4
        G223_M37_2
        10.8%
        49%
        12.4
        G223_M37_narrow_MACS2
        241
        28916
        G223_M37_sorted_filtered
        10.8
        100%
        223 bp
        2.64%
        0.0
        10.8
        100.0%
        100.0%
        10.8
        G223_M38
        76.5%
        G223_M38_1
        16.2%
        47%
        28.9
        G223_M38_2
        14.1%
        47%
        28.9
        G223_M38_narrow_MACS2
        257
        41889
        G223_M38_sorted_filtered
        26.8
        100%
        244 bp
        2.02%
        0.0
        26.8
        100.0%
        100.0%
        26.8
        G223_M39
        77.3%
        G223_M39_1
        10.1%
        47%
        4.4
        G223_M39_2
        10.0%
        48%
        4.4
        G223_M39_narrow_MACS2
        253
        15653
        G223_M39_sorted_filtered
        4.7
        100%
        240 bp
        3.21%
        0.0
        4.7
        100.0%
        100.0%
        4.7
        G223_M40
        80.0%
        G223_M40_1
        11.2%
        49%
        5.7
        G223_M40_2
        11.7%
        50%
        5.7
        G223_M40_narrow_MACS2
        258
        20814
        G223_M40_sorted_filtered
        6.1
        100%
        245 bp
        2.65%
        0.0
        6.1
        100.0%
        100.0%
        6.1
        G223_M41
        75.9%
        G223_M41_1
        9.6%
        47%
        10.9
        G223_M41_2
        8.7%
        47%
        10.9
        G223_M41_narrow_MACS2
        235
        32075
        G223_M41_sorted_filtered
        11.7
        100%
        222 bp
        3.72%
        0.0
        11.7
        100.0%
        100.0%
        11.7
        G223_M42
        87.5%
        G223_M42_1
        16.4%
        52%
        27.0
        G223_M42_2
        15.4%
        52%
        27.0
        G223_M42_narrow_MACS2
        256
        54412
        G223_M42_sorted_filtered
        34.5
        100%
        243 bp
        0.89%
        0.0
        34.5
        100.0%
        100.0%
        34.5
        G223_M43D
        86.7%
        G223_M43D_1
        18.6%
        51%
        39.2
        G223_M43D_2
        17.4%
        52%
        39.2
        G223_M43D_narrow_MACS2
        264
        58291
        G223_M43D_sorted_filtered
        46.6
        100%
        251 bp
        1.02%
        0.0
        46.6
        100.0%
        100.0%
        46.6
        G223_M44
        80.1%
        G223_M44_1
        11.0%
        52%
        6.0
        G223_M44_2
        11.4%
        53%
        6.0
        G223_M44_narrow_MACS2
        256
        20935
        G223_M44_sorted_filtered
        6.5
        100%
        242 bp
        2.12%
        0.0
        6.5
        100.0%
        100.0%
        6.5
        G223_M45
        83.1%
        G223_M45_1
        25.6%
        50%
        28.0
        G223_M45_2
        23.7%
        51%
        28.0
        G223_M45_narrow_MACS2
        243
        43190
        G223_M45_sorted_filtered
        30.0
        100%
        231 bp
        1.17%
        0.0
        30.0
        100.0%
        100.0%
        30.0
        G223_M46
        65.1%
        G223_M46_1
        29.2%
        52%
        13.3
        G223_M46_2
        27.7%
        53%
        13.3
        G223_M46_narrow_MACS2
        244
        31723
        G223_M46_sorted_filtered
        11.2
        100%
        228 bp
        1.59%
        0.0
        11.2
        100.0%
        100.0%
        11.2
        G223_M47
        79.1%
        G223_M47_1
        12.7%
        49%
        5.9
        G223_M47_2
        12.5%
        49%
        5.9
        G223_M47_narrow_MACS2
        249
        21380
        G223_M47_sorted_filtered
        5.8
        100%
        238 bp
        1.98%
        0.0
        5.8
        100.0%
        100.0%
        5.8
        G223_M48
        79.8%
        G223_M48_1
        14.6%
        53%
        7.1
        G223_M48_2
        14.5%
        53%
        7.1
        G223_M48_narrow_MACS2
        241
        24076
        G223_M48_sorted_filtered
        7.5
        100%
        230 bp
        1.87%
        0.0
        7.5
        100.0%
        100.0%
        7.5
        G223_M49
        62.6%
        G223_M49_1
        30.8%
        49%
        16.2
        G223_M49_2
        28.7%
        50%
        16.2
        G223_M49_narrow_MACS2
        217
        37014
        G223_M49_sorted_filtered
        11.0
        100%
        203 bp
        1.74%
        0.0
        11.0
        100.0%
        100.0%
        11.0

        Picard

        Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

        Alignment Summary

        Please note that Picard's read counts are divided by two for paired-end data. Total bases (including unaligned) is not provided.

           
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        Mean read length

        The mean read length of the set of reads examined.

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        Base Distribution

        Plot shows the distribution of bases by cycle.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Insert Size

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

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        Mean Base Quality by Cycle

        Plot shows the mean base quality by cycle.

        This metric gives an overall snapshot of sequencing machine performance. For most types of sequencing data, the output is expected to show a slight reduction in overall base quality scores towards the end of each read.

        Spikes in quality within reads are not expected and may indicate that technical problems occurred during sequencing.

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        Base Quality Distribution

        Plot shows the count of each base quality score.

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        Samtools

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

        Percent Mapped

        Alignment metrics from samtools stats; mapped vs. unmapped reads.

        For a set of samples that have come from the same multiplexed library, similar numbers of reads for each sample are expected. Large differences in numbers might indicate issues during the library preparation process. Whilst large differences in read numbers may be controlled for in downstream processings (e.g. read count normalisation), you may wish to consider whether the read depths achieved have fallen below recommended levels depending on the applications.

        Low alignment rates could indicate contamination of samples (e.g. adapter sequences), low sequencing quality or other artefacts. These can be further investigated in the sequence level QC (e.g. from FastQC).

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        Alignment metrics

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

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        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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        FastQC

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        Sequence Counts

        Sequence counts for each sample. Duplicate read counts are an estimate only.

        This plot show the total number of reads, broken down into unique and duplicate if possible (only more recent versions of FastQC give duplicate info).

        You can read more about duplicate calculation in the FastQC documentation. A small part has been copied here for convenience:

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Quality Histograms

        The mean quality value across each base position in the read.

        To enable multiple samples to be plotted on the same graph, only the mean quality scores are plotted (unlike the box plots seen in FastQC reports).

        Taken from the FastQC help:

        The y-axis on the graph shows the quality scores. The higher the score, the better the base call. The background of the graph divides the y axis into very good quality calls (green), calls of reasonable quality (orange), and calls of poor quality (red). The quality of calls on most platforms will degrade as the run progresses, so it is common to see base calls falling into the orange area towards the end of a read.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Sequence Quality Scores

        The number of reads with average quality scores. Shows if a subset of reads has poor quality.

        From the FastQC help:

        The per sequence quality score report allows you to see if a subset of your sequences have universally low quality values. It is often the case that a subset of sequences will have universally poor quality, however these should represent only a small percentage of the total sequences.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base Sequence Content

        The proportion of each base position for which each of the four normal DNA bases has been called.

        To enable multiple samples to be shown in a single plot, the base composition data is shown as a heatmap. The colours represent the balance between the four bases: an even distribution should give an even muddy brown colour. Hover over the plot to see the percentage of the four bases under the cursor.

        To see the data as a line plot, as in the original FastQC graph, click on a sample track.

        From the FastQC help:

        Per Base Sequence Content plots out the proportion of each base position in a file for which each of the four normal DNA bases has been called.

        In a random library you would expect that there would be little to no difference between the different bases of a sequence run, so the lines in this plot should run parallel with each other. The relative amount of each base should reflect the overall amount of these bases in your genome, but in any case they should not be hugely imbalanced from each other.

        It's worth noting that some types of library will always produce biased sequence composition, normally at the start of the read. Libraries produced by priming using random hexamers (including nearly all RNA-Seq libraries) and those which were fragmented using transposases inherit an intrinsic bias in the positions at which reads start. This bias does not concern an absolute sequence, but instead provides enrichement of a number of different K-mers at the 5' end of the reads. Whilst this is a true technical bias, it isn't something which can be corrected by trimming and in most cases doesn't seem to adversely affect the downstream analysis.

        Click a sample row to see a line plot for that dataset.
        Rollover for sample name
        Position: -
        %T: -
        %C: -
        %A: -
        %G: -

        Per Sequence GC Content

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content.

        From the FastQC help:

        This module measures the GC content across the whole length of each sequence in a file and compares it to a modelled normal distribution of GC content.

        In a normal random library you would expect to see a roughly normal distribution of GC content where the central peak corresponds to the overall GC content of the underlying genome. Since we don't know the the GC content of the genome the modal GC content is calculated from the observed data and used to build a reference distribution.

        An unusually shaped distribution could indicate a contaminated library or some other kinds of biased subset. A normal distribution which is shifted indicates some systematic bias which is independent of base position. If there is a systematic bias which creates a shifted normal distribution then this won't be flagged as an error by the module since it doesn't know what your genome's GC content should be.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Per Base N Content

        The percentage of base calls at each position for which an N was called.

        From the FastQC help:

        If a sequencer is unable to make a base call with sufficient confidence then it will normally substitute an N rather than a conventional base call. This graph shows the percentage of base calls at each position for which an N was called.

        It's not unusual to see a very low proportion of Ns appearing in a sequence, especially nearer the end of a sequence. However, if this proportion rises above a few percent it suggests that the analysis pipeline was unable to interpret the data well enough to make valid base calls.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Sequence Length Distribution

        All samples have sequences of a single length (150bp).

        Sequence Duplication Levels

        The relative level of duplication found for every sequence.

        From the FastQC Help:

        In a diverse library most sequences will occur only once in the final set. A low level of duplication may indicate a very high level of coverage of the target sequence, but a high level of duplication is more likely to indicate some kind of enrichment bias (eg PCR over amplification). This graph shows the degree of duplication for every sequence in a library: the relative number of sequences with different degrees of duplication.

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        In a properly diverse library most sequences should fall into the far left of the plot in both the red and blue lines. A general level of enrichment, indicating broad oversequencing in the library will tend to flatten the lines, lowering the low end and generally raising other categories. More specific enrichments of subsets, or the presence of low complexity contaminants will tend to produce spikes towards the right of the plot.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Overrepresented sequences

        The total amount of overrepresented sequences found in each library.

        FastQC calculates and lists overrepresented sequences in FastQ files. It would not be possible to show this for all samples in a MultiQC report, so instead this plot shows the number of sequences categorized as over represented.

        Sometimes, a single sequence may account for a large number of reads in a dataset. To show this, the bars are split into two: the first shows the overrepresented reads that come from the single most common sequence. The second shows the total count from all remaining overrepresented sequences.

        From the FastQC Help:

        A normal high-throughput library will contain a diverse set of sequences, with no individual sequence making up a tiny fraction of the whole. Finding that a single sequence is very overrepresented in the set either means that it is highly biologically significant, or indicates that the library is contaminated, or not as diverse as you expected.

        FastQC lists all of the sequences which make up more than 0.1% of the total. To conserve memory only sequences which appear in the first 100,000 sequences are tracked to the end of the file. It is therefore possible that a sequence which is overrepresented but doesn't appear at the start of the file for some reason could be missed by this module.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Adapter Content

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position.

        Note that only samples with ≥ 0.1% adapter contamination are shown.

        There may be several lines per sample, as one is shown for each adapter detected in the file.

        From the FastQC Help:

        The plot shows a cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. Once a sequence has been seen in a read it is counted as being present right through to the end of the read so the percentages you see will only increase as the read length goes on.

        Flat image plot. Toolbox functions such as highlighting / hiding samples will not work (see the docs).


        Status Checks

        Status for each FastQC section showing whether results seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        FastQC assigns a status for each section of the report. These give a quick evaluation of whether the results of the analysis seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        It is important to stress that although the analysis results appear to give a pass/fail result, these evaluations must be taken in the context of what you expect from your library. A 'normal' sample as far as FastQC is concerned is random and diverse. Some experiments may be expected to produce libraries which are biased in particular ways. You should treat the summary evaluations therefore as pointers to where you should concentrate your attention and understand why your library may not look random and diverse.

        Specific guidance on how to interpret the output of each module can be found in the relevant report section, or in the FastQC help.

        In this heatmap, we summarise all of these into a single heatmap for a quick overview. Note that not all FastQC sections have plots in MultiQC reports, but all status checks are shown in this heatmap.

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