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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 1.0.dev0

        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 2019-12-17, 14:12 based on data in: /beegfs/mk5636/logs/html/HMT3KBGX7/merged


        General Statistics

        Showing 192/192 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HMT3KBGX7_n01_QG3249
        14.7%
        42%
        2.2
        HMT3KBGX7_n01_QG3250
        33.4%
        43%
        1.1
        HMT3KBGX7_n01_QG3251
        15.1%
        42%
        2.5
        HMT3KBGX7_n01_QG3252
        18.6%
        42%
        2.1
        HMT3KBGX7_n01_QG3253
        21.2%
        42%
        2.4
        HMT3KBGX7_n01_QG3256
        19.1%
        43%
        2.1
        HMT3KBGX7_n01_QG3261
        22.7%
        43%
        2.2
        HMT3KBGX7_n01_QG3265
        15.4%
        42%
        1.8
        HMT3KBGX7_n01_QG3266
        15.8%
        42%
        1.5
        HMT3KBGX7_n01_QG3269
        15.6%
        42%
        1.9
        HMT3KBGX7_n01_QG3271
        16.2%
        42%
        2.0
        HMT3KBGX7_n01_QG3275
        14.3%
        42%
        1.7
        HMT3KBGX7_n01_QG3276
        15.9%
        42%
        1.8
        HMT3KBGX7_n01_QG3277
        13.7%
        42%
        2.2
        HMT3KBGX7_n01_QG3278
        13.2%
        42%
        1.6
        HMT3KBGX7_n01_QG3279
        16.7%
        42%
        1.5
        HMT3KBGX7_n01_QG3280
        21.2%
        42%
        1.9
        HMT3KBGX7_n01_QG3283
        15.7%
        42%
        1.5
        HMT3KBGX7_n01_QG3285
        14.6%
        42%
        2.2
        HMT3KBGX7_n01_QG3286
        21.6%
        42%
        1.5
        HMT3KBGX7_n01_QG3295
        14.0%
        42%
        2.2
        HMT3KBGX7_n01_QG3298
        13.4%
        42%
        2.0
        HMT3KBGX7_n01_QG3302
        11.3%
        42%
        2.6
        HMT3KBGX7_n01_QG3304
        21.2%
        42%
        1.9
        HMT3KBGX7_n01_QG3305
        23.4%
        42%
        1.5
        HMT3KBGX7_n01_QG3306
        19.3%
        42%
        2.2
        HMT3KBGX7_n01_QG3308
        14.5%
        42%
        2.5
        HMT3KBGX7_n01_QG3309
        18.7%
        42%
        2.5
        HMT3KBGX7_n01_QG3310
        30.7%
        43%
        1.9
        HMT3KBGX7_n01_QG3311
        18.3%
        42%
        2.0
        HMT3KBGX7_n01_QG3312
        17.7%
        42%
        1.5
        HMT3KBGX7_n01_QG3313
        12.7%
        42%
        2.1
        HMT3KBGX7_n01_QG3314
        12.7%
        43%
        2.3
        HMT3KBGX7_n01_QG3315
        16.0%
        42%
        2.5
        HMT3KBGX7_n01_QG3318
        24.0%
        43%
        1.1
        HMT3KBGX7_n01_QG3321
        12.8%
        42%
        2.4
        HMT3KBGX7_n01_QG3322
        16.2%
        42%
        1.8
        HMT3KBGX7_n01_QG3323
        14.6%
        42%
        2.4
        HMT3KBGX7_n01_QG3324
        14.7%
        42%
        2.3
        HMT3KBGX7_n01_QG3328
        26.2%
        42%
        1.6
        HMT3KBGX7_n01_QG3329
        15.1%
        42%
        2.7
        HMT3KBGX7_n01_QG3330
        16.1%
        42%
        2.4
        HMT3KBGX7_n01_QG3331
        16.5%
        42%
        1.7
        HMT3KBGX7_n01_QG3333
        13.0%
        42%
        2.3
        HMT3KBGX7_n01_QG3334
        14.4%
        42%
        1.8
        HMT3KBGX7_n01_QG3336
        14.7%
        42%
        2.7
        HMT3KBGX7_n01_QG3338
        12.8%
        42%
        1.5
        HMT3KBGX7_n01_QG3348
        21.3%
        42%
        1.6
        HMT3KBGX7_n01_QG3361
        23.4%
        43%
        2.4
        HMT3KBGX7_n01_QG3369
        21.4%
        42%
        2.0
        HMT3KBGX7_n01_QG3374
        21.8%
        42%
        2.2
        HMT3KBGX7_n01_QG3378
        20.9%
        43%
        1.9
        HMT3KBGX7_n01_QG3380
        15.6%
        42%
        2.4
        HMT3KBGX7_n01_QG3389
        15.5%
        42%
        1.7
        HMT3KBGX7_n01_QG3396
        21.8%
        42%
        1.4
        HMT3KBGX7_n01_QG3402
        34.0%
        44%
        1.2
        HMT3KBGX7_n01_QG3404
        15.7%
        43%
        3.9
        HMT3KBGX7_n01_QG3408
        17.8%
        43%
        3.3
        HMT3KBGX7_n01_QG3413
        27.6%
        43%
        2.3
        HMT3KBGX7_n01_QG3416
        25.2%
        43%
        1.5
        HMT3KBGX7_n01_QG3417
        20.0%
        42%
        1.4
        HMT3KBGX7_n01_QG3418
        18.3%
        42%
        2.5
        HMT3KBGX7_n01_QG3423
        26.0%
        43%
        1.9
        HMT3KBGX7_n01_QG3424
        15.6%
        42%
        2.0
        HMT3KBGX7_n01_QG3429
        98.3%
        46%
        0.2
        HMT3KBGX7_n01_QG3453
        97.5%
        46%
        0.2
        HMT3KBGX7_n01_QG3455
        23.3%
        42%
        1.7
        HMT3KBGX7_n01_QG3457
        23.9%
        42%
        1.6
        HMT3KBGX7_n01_QG3459
        15.5%
        42%
        2.0
        HMT3KBGX7_n01_QG3460
        16.8%
        42%
        2.4
        HMT3KBGX7_n01_QG3462
        20.8%
        43%
        2.7
        HMT3KBGX7_n01_QG3465
        15.5%
        42%
        3.1
        HMT3KBGX7_n01_QG3467
        15.6%
        42%
        2.4
        HMT3KBGX7_n01_QG3469
        23.8%
        43%
        1.7
        HMT3KBGX7_n01_QG3471
        17.3%
        42%
        2.5
        HMT3KBGX7_n01_QG3472
        13.3%
        42%
        2.4
        HMT3KBGX7_n01_QG3473
        19.0%
        42%
        2.1
        HMT3KBGX7_n01_QG3474
        16.7%
        43%
        3.4
        HMT3KBGX7_n01_QG3476
        19.4%
        43%
        2.0
        HMT3KBGX7_n01_QG3477
        10.0%
        43%
        2.7
        HMT3KBGX7_n01_QG3479
        16.8%
        42%
        3.0
        HMT3KBGX7_n01_QG3480
        22.6%
        43%
        2.8
        HMT3KBGX7_n01_QG3481
        13.7%
        43%
        2.9
        HMT3KBGX7_n01_QG3485
        17.5%
        43%
        2.0
        HMT3KBGX7_n01_QG3488
        14.6%
        42%
        3.2
        HMT3KBGX7_n01_QG3489
        17.7%
        42%
        2.4
        HMT3KBGX7_n01_QG3490
        38.2%
        43%
        1.1
        HMT3KBGX7_n01_QG3494
        98.9%
        46%
        0.2
        HMT3KBGX7_n01_QG3497
        19.5%
        43%
        2.8
        HMT3KBGX7_n01_QG3498
        14.7%
        43%
        3.3
        HMT3KBGX7_n01_QG3500
        17.8%
        43%
        3.4
        HMT3KBGX7_n01_QG3505
        17.5%
        43%
        2.3
        HMT3KBGX7_n01_QG3506
        20.9%
        43%
        2.2
        HMT3KBGX7_n01_QG3508
        97.5%
        46%
        0.3
        HMT3KBGX7_n01_QG3511
        16.2%
        43%
        3.4
        HMT3KBGX7_n01_undetermined
        86.1%
        44%
        20.5
        HMT3KBGX7_n02_QG3249
        13.1%
        44%
        2.2
        HMT3KBGX7_n02_QG3250
        29.7%
        49%
        1.1
        HMT3KBGX7_n02_QG3251
        13.1%
        45%
        2.5
        HMT3KBGX7_n02_QG3252
        16.5%
        45%
        2.1
        HMT3KBGX7_n02_QG3253
        18.7%
        46%
        2.4
        HMT3KBGX7_n02_QG3256
        16.5%
        46%
        2.1
        HMT3KBGX7_n02_QG3261
        20.1%
        47%
        2.2
        HMT3KBGX7_n02_QG3265
        13.2%
        45%
        1.8
        HMT3KBGX7_n02_QG3266
        13.8%
        45%
        1.5
        HMT3KBGX7_n02_QG3269
        13.8%
        45%
        1.9
        HMT3KBGX7_n02_QG3271
        14.0%
        45%
        2.0
        HMT3KBGX7_n02_QG3275
        12.4%
        44%
        1.7
        HMT3KBGX7_n02_QG3276
        13.7%
        44%
        1.8
        HMT3KBGX7_n02_QG3277
        12.0%
        44%
        2.2
        HMT3KBGX7_n02_QG3278
        11.4%
        44%
        1.6
        HMT3KBGX7_n02_QG3279
        14.3%
        45%
        1.5
        HMT3KBGX7_n02_QG3280
        18.8%
        46%
        1.9
        HMT3KBGX7_n02_QG3283
        13.6%
        45%
        1.5
        HMT3KBGX7_n02_QG3285
        12.8%
        44%
        2.2
        HMT3KBGX7_n02_QG3286
        18.7%
        46%
        1.5
        HMT3KBGX7_n02_QG3295
        12.4%
        44%
        2.2
        HMT3KBGX7_n02_QG3298
        11.8%
        44%
        2.0
        HMT3KBGX7_n02_QG3302
        9.8%
        43%
        2.6
        HMT3KBGX7_n02_QG3304
        18.8%
        46%
        1.9
        HMT3KBGX7_n02_QG3305
        20.6%
        47%
        1.5
        HMT3KBGX7_n02_QG3306
        16.6%
        45%
        2.2
        HMT3KBGX7_n02_QG3308
        12.8%
        44%
        2.5
        HMT3KBGX7_n02_QG3309
        16.2%
        45%
        2.5
        HMT3KBGX7_n02_QG3310
        27.4%
        48%
        1.9
        HMT3KBGX7_n02_QG3311
        16.2%
        46%
        2.0
        HMT3KBGX7_n02_QG3312
        15.3%
        45%
        1.5
        HMT3KBGX7_n02_QG3313
        11.0%
        44%
        2.1
        HMT3KBGX7_n02_QG3314
        10.9%
        45%
        2.3
        HMT3KBGX7_n02_QG3315
        14.1%
        45%
        2.5
        HMT3KBGX7_n02_QG3318
        20.7%
        47%
        1.1
        HMT3KBGX7_n02_QG3321
        11.0%
        44%
        2.4
        HMT3KBGX7_n02_QG3322
        14.2%
        45%
        1.8
        HMT3KBGX7_n02_QG3323
        12.8%
        44%
        2.4
        HMT3KBGX7_n02_QG3324
        12.8%
        44%
        2.3
        HMT3KBGX7_n02_QG3328
        22.6%
        47%
        1.6
        HMT3KBGX7_n02_QG3329
        13.0%
        45%
        2.7
        HMT3KBGX7_n02_QG3330
        14.3%
        45%
        2.4
        HMT3KBGX7_n02_QG3331
        14.5%
        45%
        1.7
        HMT3KBGX7_n02_QG3333
        11.5%
        44%
        2.3
        HMT3KBGX7_n02_QG3334
        12.8%
        45%
        1.8
        HMT3KBGX7_n02_QG3336
        13.1%
        44%
        2.7
        HMT3KBGX7_n02_QG3338
        11.3%
        44%
        1.5
        HMT3KBGX7_n02_QG3348
        18.8%
        46%
        1.6
        HMT3KBGX7_n02_QG3361
        20.6%
        47%
        2.4
        HMT3KBGX7_n02_QG3369
        18.9%
        46%
        2.0
        HMT3KBGX7_n02_QG3374
        19.2%
        46%
        2.2
        HMT3KBGX7_n02_QG3378
        18.5%
        46%
        1.9
        HMT3KBGX7_n02_QG3380
        13.4%
        45%
        2.4
        HMT3KBGX7_n02_QG3389
        13.6%
        44%
        1.7
        HMT3KBGX7_n02_QG3396
        19.2%
        46%
        1.4
        HMT3KBGX7_n02_QG3402
        30.4%
        50%
        1.2
        HMT3KBGX7_n02_QG3404
        13.9%
        45%
        3.9
        HMT3KBGX7_n02_QG3408
        15.8%
        45%
        3.3
        HMT3KBGX7_n02_QG3413
        24.3%
        48%
        2.3
        HMT3KBGX7_n02_QG3416
        22.2%
        47%
        1.5
        HMT3KBGX7_n02_QG3417
        17.8%
        46%
        1.4
        HMT3KBGX7_n02_QG3418
        16.1%
        45%
        2.5
        HMT3KBGX7_n02_QG3423
        23.0%
        47%
        1.9
        HMT3KBGX7_n02_QG3424
        13.7%
        45%
        2.0
        HMT3KBGX7_n02_QG3429
        88.7%
        65%
        0.2
        HMT3KBGX7_n02_QG3453
        88.6%
        65%
        0.2
        HMT3KBGX7_n02_QG3455
        20.6%
        46%
        1.7
        HMT3KBGX7_n02_QG3457
        20.7%
        46%
        1.6
        HMT3KBGX7_n02_QG3459
        13.7%
        45%
        2.0
        HMT3KBGX7_n02_QG3460
        14.8%
        45%
        2.4
        HMT3KBGX7_n02_QG3462
        18.5%
        46%
        2.7
        HMT3KBGX7_n02_QG3465
        13.7%
        45%
        3.1
        HMT3KBGX7_n02_QG3467
        13.9%
        45%
        2.4
        HMT3KBGX7_n02_QG3469
        20.6%
        47%
        1.7
        HMT3KBGX7_n02_QG3471
        15.3%
        45%
        2.5
        HMT3KBGX7_n02_QG3472
        11.7%
        44%
        2.4
        HMT3KBGX7_n02_QG3473
        16.8%
        46%
        2.1
        HMT3KBGX7_n02_QG3474
        14.5%
        45%
        3.4
        HMT3KBGX7_n02_QG3476
        17.2%
        46%
        2.0
        HMT3KBGX7_n02_QG3477
        8.8%
        44%
        2.7
        HMT3KBGX7_n02_QG3479
        14.5%
        45%
        3.0
        HMT3KBGX7_n02_QG3480
        19.6%
        46%
        2.8
        HMT3KBGX7_n02_QG3481
        12.0%
        44%
        2.9
        HMT3KBGX7_n02_QG3485
        15.1%
        46%
        2.0
        HMT3KBGX7_n02_QG3488
        12.7%
        45%
        3.2
        HMT3KBGX7_n02_QG3489
        15.3%
        45%
        2.4
        HMT3KBGX7_n02_QG3490
        33.9%
        50%
        1.1
        HMT3KBGX7_n02_QG3494
        90.0%
        65%
        0.2
        HMT3KBGX7_n02_QG3497
        17.3%
        46%
        2.8
        HMT3KBGX7_n02_QG3498
        12.7%
        45%
        3.3
        HMT3KBGX7_n02_QG3500
        15.7%
        46%
        3.4
        HMT3KBGX7_n02_QG3505
        15.5%
        46%
        2.3
        HMT3KBGX7_n02_QG3506
        18.5%
        46%
        2.2
        HMT3KBGX7_n02_QG3508
        87.9%
        65%
        0.3
        HMT3KBGX7_n02_QG3511
        14.0%
        45%
        3.4
        HMT3KBGX7_n02_undetermined
        84.0%
        45%
        20.5

        Demultiplexing Report

        Demultiplexing Report
        Total Read Count: Total number of PF (Passing Filter) reads in this library.
        Portion: The proportion of reads that represent the individual library in the entire Library Pool.

        Showing 96/96 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        20,504,293
        9.4
        QG3249
        2,246,322
        1.0
        QG3266
        1,491,423
        0.7
        QG3280
        1,919,396
        0.9
        QG3304
        1,943,858
        0.9
        QG3313
        2,140,539
        1.0
        QG3329
        2,745,812
        1.3
        QG3361
        2,379,003
        1.1
        QG3404
        3,911,016
        1.8
        QG3429
        241,416
        0.1
        QG3467
        2,360,170
        1.1
        QG3479
        2,971,542
        1.4
        QG3497
        2,798,000
        1.3
        QG3250
        1,114,377
        0.5
        QG3269
        1,945,596
        0.9
        QG3283
        1,489,862
        0.7
        QG3305
        1,476,911
        0.7
        QG3315
        2,463,678
        1.1
        QG3330
        2,431,792
        1.1
        QG3369
        2,038,106
        0.9
        QG3408
        3,301,124
        1.5
        QG3453
        215,889
        0.1
        QG3469
        1,671,952
        0.8
        QG3480
        2,835,142
        1.3
        QG3498
        3,270,964
        1.5
        QG3251
        2,484,836
        1.1
        QG3271
        1,984,832
        0.9
        QG3285
        2,197,667
        1.0
        QG3306
        2,231,667
        1.0
        QG3318
        1,052,023
        0.5
        QG3331
        1,690,162
        0.8
        QG3374
        2,169,389
        1.0
        QG3413
        2,259,924
        1.0
        QG3455
        1,704,451
        0.8
        QG3471
        2,523,595
        1.2
        QG3481
        2,926,098
        1.3
        QG3500
        3,394,535
        1.6
        QG3252
        2,077,026
        1.0
        QG3275
        1,730,654
        0.8
        QG3286
        1,531,423
        0.7
        QG3308
        2,451,779
        1.1
        QG3321
        2,409,115
        1.1
        QG3333
        2,281,737
        1.0
        QG3378
        1,881,465
        0.9
        QG3416
        1,520,843
        0.7
        QG3457
        1,612,258
        0.7
        QG3472
        2,449,365
        1.1
        QG3485
        2,037,959
        0.9
        QG3505
        2,317,946
        1.1
        QG3253
        2,412,639
        1.1
        QG3276
        1,844,353
        0.8
        QG3295
        2,152,538
        1.0
        QG3309
        2,452,646
        1.1
        QG3322
        1,797,960
        0.8
        QG3334
        1,783,571
        0.8
        QG3380
        2,365,274
        1.1
        QG3417
        1,437,892
        0.7
        QG3459
        2,016,727
        0.9
        QG3473
        2,128,948
        1.0
        QG3488
        3,248,877
        1.5
        QG3506
        2,186,419
        1.0
        QG3256
        2,128,321
        1.0
        QG3277
        2,187,597
        1.0
        QG3298
        2,007,343
        0.9
        QG3310
        1,886,034
        0.9
        QG3323
        2,404,323
        1.1
        QG3336
        2,748,969
        1.3
        QG3389
        1,651,192
        0.8
        QG3418
        2,478,929
        1.1
        QG3460
        2,361,839
        1.1
        QG3474
        3,398,951
        1.6
        QG3489
        2,390,833
        1.1
        QG3508
        291,311
        0.1
        QG3261
        2,154,133
        1.0
        QG3278
        1,580,374
        0.7
        QG3314
        2,286,141
        1.0
        QG3311
        1,990,137
        0.9
        QG3324
        2,349,584
        1.1
        QG3338
        1,468,179
        0.7
        QG3396
        1,400,351
        0.6
        QG3423
        1,886,279
        0.9
        QG3462
        2,698,863
        1.2
        QG3476
        2,020,458
        0.9
        QG3490
        1,124,364
        0.5
        QG3511
        3,359,116
        1.5
        QG3265
        1,752,216
        0.8
        QG3279
        1,511,823
        0.7
        QG3302
        2,649,833
        1.2
        QG3312
        1,453,286
        0.7
        QG3328
        1,589,431
        0.7
        QG3348
        1,604,315
        0.7
        QG3402
        1,161,072
        0.5
        QG3424
        1,986,921
        0.9
        QG3465
        3,105,788
        1.4
        QG3477
        2,653,839
        1.2
        QG3494
        180,162
        0.1

        Barcodes of Undetermined Reads

        Barcodes of Undetermined Reads
        We have determined the barcodes of your undetermined reads (reads containing a barcode that you did not encode in your metadata). Here are the top 20 barcodes belonging to the undetermined reads. The full list is available here.

        Showing 20/20 rows and 2/2 columns.
        Sample NameCountFrequency (%)
        GGGGGGGG
        17711271.0
        86.4
        GGGGGGGC
        23172.0
        0.1
        GAACGTTA
        10190.0
        0.1
        GGGGGCGG
        8459.0
        0.0
        GGGCGGGG
        7828.0
        0.0
        GGGGGGCC
        7824.0
        0.0
        GGGGGGTG
        7454.0
        0.0
        GGGGGGCG
        7433.0
        0.0
        GGGGGGGT
        7363.0
        0.0
        NGGGGGGG
        7243.0
        0.0
        GGCGGGGG
        6641.0
        0.0
        AACGGTTA
        6574.0
        0.0
        GAAGGTTA
        6460.0
        0.0
        GGGGGCCC
        6366.0
        0.0
        GACGGTTA
        6301.0
        0.0
        GCGGGGGG
        6184.0
        0.0
        TGGGGGGG
        5909.0
        0.0
        GGGGCGGG
        5083.0
        0.0
        CAACAAAA
        5020.0
        0.0
        GGGGGTGG
        4968.0
        0.0

        Run Statistics

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Sample NameTotal # of Single-End ReadsTotal # PF Reads% Undetermined % PhiX Aligned
        4.0
        225,547,592
        218,559,083
        9.4
        7.6

        FastQC

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

        Sequence Quality Histograms

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

        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. See the FastQC help.

        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. See the FastQC help.

        Click a heatmap 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. See the FastQC help.

        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. See the FastQC help.

        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 (76bp).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence. See the FastQC help.

        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. See the FastQC help for further information.

        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. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

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