..plots loading..

Highlight Samples

This report has flat image plots that won't be highlighted.
See the documentation for help.

Regex mode off

    Rename Samples

    This report has flat image plots that won't be renamed.
    See the documentation for help.

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      This report has flat image plots that won't be hidden.
      See the documentation for help.

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.


        Choose Plots

        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

        Save Settings

        You can save the toolbox settings for this report to the browser.


        Load Settings

        Choose a saved report profile from the dropdown box below:

        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 2020-10-02, 04:10 based on data in: /beegfs/mk5636/logs/html/HNCVFBGXG/merged


        General Statistics

        Showing 968 samples.

        loading..

        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 385/385 rows and 2/2 columns.
        Sample NameTotal Read CountPortion (%)
        undetermined_library
        28,822,417
        6.2
        FD-S3_R1_A01
        1,437,163
        0.3
        FD-S3_R1_B01
        645,045
        0.1
        FD-S3_R1_C01
        1,361,337
        0.3
        FD-S3_R1_D01
        836,818
        0.2
        FD-S3_R1_E01
        1,063,043
        0.2
        FD-S3_R1_F01
        1,644,958
        0.4
        FD-S3_R1_G01
        917,922
        0.2
        FD-S3_R1_H01
        1,440,169
        0.3
        FD-S3_R1_A02
        1,405,411
        0.3
        FD-S3_R1_B02
        690,379
        0.1
        FD-S3_R1_C02
        1,215,968
        0.3
        FD-S3_R1_D02
        1,490,952
        0.3
        FD-S3_R1_E02
        1,439,774
        0.3
        FD-S3_R1_F02
        1,588,014
        0.3
        FD-S3_R1_G02
        1,483,064
        0.3
        FD-S3_R1_H02
        1,360,021
        0.3
        FD-S3_R1_A03
        949,689
        0.2
        FD-S3_R1_B03
        856,713
        0.2
        FD-S3_R1_C03
        1,152,574
        0.2
        FD-S3_R1_D03
        1,197,302
        0.3
        FD-S3_R1_E03
        1,355,400
        0.3
        FD-S3_R1_F03
        1,226,002
        0.3
        FD-S3_R1_G03
        1,494,875
        0.3
        FD-S3_R1_H03
        1,117,008
        0.2
        FD-S3_R1_A04
        1,327,931
        0.3
        FD-S3_R1_B04
        1,000,402
        0.2
        FD-S3_R1_C04
        783,697
        0.2
        FD-S3_R1_D04
        1,341,385
        0.3
        FD-S3_R1_E04
        666,784
        0.1
        FD-S3_R1_F04
        909,326
        0.2
        FD-S3_R1_G04
        881,677
        0.2
        FD-S3_R1_H04
        1,329,805
        0.3
        FD-S3_R1_A05
        1,022,993
        0.2
        FD-S3_R1_B05
        1,012,059
        0.2
        FD-S3_R1_C05
        1,082,900
        0.2
        FD-S3_R1_D05
        1,647,552
        0.4
        FD-S3_R1_E05
        1,314,914
        0.3
        FD-S3_R1_F05
        1,430,039
        0.3
        FD-S3_R1_G05
        1,302,918
        0.3
        FD-S3_R1_H05
        1,269,225
        0.3
        FD-S3_R1_A06
        843,748
        0.2
        FD-S3_R1_B06
        1,345,144
        0.3
        FD-S3_R1_C06
        985,527
        0.2
        FD-S3_R1_D06
        1,105,944
        0.2
        FD-S3_R1_E06
        1,186,008
        0.3
        FD-S3_R1_F06
        1,008,867
        0.2
        FD-S3_R1_G06
        1,101,891
        0.2
        FD-S3_R1_H06
        1,271,994
        0.3
        FD-S3_R1_A07
        1,193,545
        0.3
        FD-S3_R1_B07
        973,088
        0.2
        FD-S3_R1_C07
        1,377,017
        0.3
        FD-S3_R1_D07
        1,346,685
        0.3
        FD-S3_R1_E07
        995,181
        0.2
        FD-S3_R1_F07
        1,399,065
        0.3
        FD-S3_R1_G07
        1,234,540
        0.3
        FD-S3_R1_H07
        785,667
        0.2
        FD-S3_R1_A08
        1,246,924
        0.3
        FD-S3_R1_B08
        1,267,119
        0.3
        FD-S3_R1_C08
        1,216,578
        0.3
        FD-S3_R1_D08
        1,361,019
        0.3
        FD-S3_R1_E08
        1,522,239
        0.3
        FD-S3_R1_F08
        997,569
        0.2
        FD-S3_R1_G08
        1,392,826
        0.3
        FD-S3_R1_H08
        1,162,682
        0.2
        FD-S3_R1_A09
        1,138,865
        0.2
        FD-S3_R1_B09
        973,811
        0.2
        FD-S3_R1_C09
        1,199,773
        0.3
        FD-S3_R1_D09
        1,206,749
        0.3
        FD-S3_R1_E09
        1,103,630
        0.2
        FD-S3_R1_F09
        892,462
        0.2
        FD-S3_R1_G09
        10,599
        0.0
        FD-S3_R1_H09
        1,212,061
        0.3
        FD-S3_R1_A10
        727,819
        0.2
        FD-S3_R1_B10
        911,231
        0.2
        FD-S3_R1_C10
        490,349
        0.1
        FD-S3_R1_D10
        1,001,576
        0.2
        FD-S3_R1_E10
        1,051,251
        0.2
        FD-S3_R1_F10
        986,415
        0.2
        FD-S3_R1_G10
        1,150,754
        0.2
        FD-S3_R1_H10
        650,513
        0.1
        FD-S3_R1_A11
        940,702
        0.2
        FD-S3_R1_B11
        1,083,976
        0.2
        FD-S3_R1_C11
        1,148,905
        0.2
        FD-S3_R1_D11
        983,143
        0.2
        FD-S3_R1_E11
        999,441
        0.2
        FD-S3_R1_F11
        1,368,990
        0.3
        FD-S3_R1_G11
        834,232
        0.2
        FD-S3_R1_H11
        1,114,293
        0.2
        FD-S3_R1_A12
        879,954
        0.2
        FD-S3_R1_B12
        805,542
        0.2
        FD-S3_R1_C12
        940,711
        0.2
        FD-S3_R1_D12
        960,209
        0.2
        FD-S3_R1_E12
        915,407
        0.2
        FD-S3_R1_F12
        1,273,907
        0.3
        FD-S3_R1_G12
        711,531
        0.2
        FD-S3_R1_H12
        152.0
        0.0
        FD-S3_R2_A01
        1,510,919
        0.3
        FD-S3_R2_B01
        874,903
        0.2
        FD-S3_R2_C01
        1,661,056
        0.4
        FD-S3_R2_D01
        822,424
        0.2
        FD-S3_R2_E01
        1,039,236
        0.2
        FD-S3_R2_F01
        1,571,962
        0.3
        FD-S3_R2_G01
        1,136,938
        0.2
        FD-S3_R2_H01
        1,240,686
        0.3
        FD-S3_R2_A02
        1,469,422
        0.3
        FD-S3_R2_B02
        656,232
        0.1
        FD-S3_R2_C02
        1,053,146
        0.2
        FD-S3_R2_D02
        1,242,435
        0.3
        FD-S3_R2_E02
        1,278,934
        0.3
        FD-S3_R2_F02
        1,327,539
        0.3
        FD-S3_R2_G02
        1,402,151
        0.3
        FD-S3_R2_H02
        1,108,475
        0.2
        FD-S3_R2_A03
        1,237,629
        0.3
        FD-S3_R2_B03
        369,099
        0.1
        FD-S3_R2_C03
        1,404,538
        0.3
        FD-S3_R2_D03
        973,897
        0.2
        FD-S3_R2_E03
        1,114,666
        0.2
        FD-S3_R2_F03
        1,172,229
        0.3
        FD-S3_R2_G03
        1,243,667
        0.3
        FD-S3_R2_H03
        775,272
        0.2
        FD-S3_R2_A04
        1,398,203
        0.3
        FD-S3_R2_B04
        1,176,479
        0.3
        FD-S3_R2_C04
        1,044,234
        0.2
        FD-S3_R2_D04
        1,469,122
        0.3
        FD-S3_R2_E04
        1,649,722
        0.4
        FD-S3_R2_F04
        942,673
        0.2
        FD-S3_R2_G04
        931,778
        0.2
        FD-S3_R2_H04
        1,459,641
        0.3
        FD-S3_R2_A05
        1,136,349
        0.2
        FD-S3_R2_B05
        1,107,897
        0.2
        FD-S3_R2_C05
        1,162,934
        0.2
        FD-S3_R2_D05
        1,929,572
        0.4
        FD-S3_R2_E05
        1,449,744
        0.3
        FD-S3_R2_F05
        1,269,325
        0.3
        FD-S3_R2_G05
        1,371,529
        0.3
        FD-S3_R2_H05
        1,524,063
        0.3
        FD-S3_R2_A06
        1,907,058
        0.4
        FD-S3_R2_B06
        1,292,471
        0.3
        FD-S3_R2_C06
        1,375,454
        0.3
        FD-S3_R2_D06
        1,311,139
        0.3
        FD-S3_R2_E06
        1,869,288
        0.4
        FD-S3_R2_F06
        1,304,866
        0.3
        FD-S3_R2_G06
        1,386,484
        0.3
        FD-S3_R2_H06
        1,682,558
        0.4
        FD-S3_R2_A07
        1,231,366
        0.3
        FD-S3_R2_B07
        991,940
        0.2
        FD-S3_R2_C07
        1,647,964
        0.4
        FD-S3_R2_D07
        1,205,168
        0.3
        FD-S3_R2_E07
        1,063,170
        0.2
        FD-S3_R2_F07
        1,347,224
        0.3
        FD-S3_R2_G07
        1,212,898
        0.3
        FD-S3_R2_H07
        815,937
        0.2
        FD-S3_R2_A08
        1,500,849
        0.3
        FD-S3_R2_B08
        1,077,315
        0.2
        FD-S3_R2_C08
        1,264,264
        0.3
        FD-S3_R2_D08
        898,719
        0.2
        FD-S3_R2_E08
        1,730,787
        0.4
        FD-S3_R2_F08
        555,985
        0.1
        FD-S3_R2_G08
        1,588,976
        0.3
        FD-S3_R2_H08
        1,177,143
        0.3
        FD-S3_R2_A09
        1,805,159
        0.4
        FD-S3_R2_B09
        1,534,604
        0.3
        FD-S3_R2_C09
        1,173,497
        0.3
        FD-S3_R2_D09
        1,758,882
        0.4
        FD-S3_R2_E09
        1,410,733
        0.3
        FD-S3_R2_F09
        1,064,947
        0.2
        FD-S3_R2_G09
        6,312
        0.0
        FD-S3_R2_H09
        1,176,845
        0.3
        FD-S3_R2_A10
        1,205,225
        0.3
        FD-S3_R2_B10
        854,880
        0.2
        FD-S3_R2_C10
        674,398
        0.1
        FD-S3_R2_D10
        1,382,289
        0.3
        FD-S3_R2_E10
        1,453,633
        0.3
        FD-S3_R2_F10
        1,344,146
        0.3
        FD-S3_R2_G10
        1,397,057
        0.3
        FD-S3_R2_H10
        755,152
        0.2
        FD-S3_R2_A11
        2,791,165
        0.6
        FD-S3_R2_B11
        813,560
        0.2
        FD-S3_R2_C11
        1,344,896
        0.3
        FD-S3_R2_D11
        860,383
        0.2
        FD-S3_R2_E11
        837,334
        0.2
        FD-S3_R2_F11
        1,690,762
        0.4
        FD-S3_R2_G11
        769,671
        0.2
        FD-S3_R2_H11
        1,203,850
        0.3
        FD-S3_R2_A12
        1,156,471
        0.2
        FD-S3_R2_B12
        1,084,274
        0.2
        FD-S3_R2_C12
        1,069,280
        0.2
        FD-S3_R2_D12
        1,122,613
        0.2
        FD-S3_R2_E12
        1,226,040
        0.3
        FD-S3_R2_F12
        1,295,531
        0.3
        FD-S3_R2_G12
        841,307
        0.2
        FD-S3_R2_H12
        75.0
        0.0
        FD-S4_R1_A01
        7,548
        0.0
        FD-S4_R1_B01
        461,846
        0.1
        FD-S4_R1_C01
        1,637,355
        0.4
        FD-S4_R1_D01
        1,568,818
        0.3
        FD-S4_R1_E01
        1,494,741
        0.3
        FD-S4_R1_F01
        1,360,385
        0.3
        FD-S4_R1_G01
        890,028
        0.2
        FD-S4_R1_H01
        1,196,022
        0.3
        FD-S4_R1_A02
        1,593,808
        0.3
        FD-S4_R1_B02
        606,287
        0.1
        FD-S4_R1_C02
        1,594,919
        0.3
        FD-S4_R1_D02
        1,521,957
        0.3
        FD-S4_R1_E02
        1,380,038
        0.3
        FD-S4_R1_F02
        1,295,735
        0.3
        FD-S4_R1_G02
        903,771
        0.2
        FD-S4_R1_H02
        1,422,112
        0.3
        FD-S4_R1_A03
        1,582,742
        0.3
        FD-S4_R1_B03
        1,135,096
        0.2
        FD-S4_R1_C03
        1,861,496
        0.4
        FD-S4_R1_D03
        1,499,747
        0.3
        FD-S4_R1_E03
        1,065,378
        0.2
        FD-S4_R1_F03
        1,396,119
        0.3
        FD-S4_R1_G03
        907,939
        0.2
        FD-S4_R1_H03
        1,329,175
        0.3
        FD-S4_R1_A04
        952,035
        0.2
        FD-S4_R1_B04
        2,057,141
        0.4
        FD-S4_R1_C04
        131,138
        0.0
        FD-S4_R1_D04
        214,577
        0.0
        FD-S4_R1_E04
        687,022
        0.1
        FD-S4_R1_F04
        470,742
        0.1
        FD-S4_R1_G04
        882,079
        0.2
        FD-S4_R1_H04
        1,065,868
        0.2
        FD-S4_R1_A05
        1,596,009
        0.3
        FD-S4_R1_B05
        962,736
        0.2
        FD-S4_R1_C05
        1,979,133
        0.4
        FD-S4_R1_D05
        1,533,765
        0.3
        FD-S4_R1_E05
        1,306,984
        0.3
        FD-S4_R1_F05
        1,436,040
        0.3
        FD-S4_R1_G05
        1,364,544
        0.3
        FD-S4_R1_H05
        1,284,029
        0.3
        FD-S4_R1_A06
        1,795,967
        0.4
        FD-S4_R1_B06
        654,574
        0.1
        FD-S4_R1_C06
        1,744,289
        0.4
        FD-S4_R1_D06
        1,510,455
        0.3
        FD-S4_R1_E06
        1,185,584
        0.3
        FD-S4_R1_F06
        1,289,925
        0.3
        FD-S4_R1_G06
        1,355,252
        0.3
        FD-S4_R1_H06
        1,379,445
        0.3
        FD-S4_R1_A07
        1,493,889
        0.3
        FD-S4_R1_B07
        1,184,897
        0.3
        FD-S4_R1_C07
        1,147,272
        0.2
        FD-S4_R1_D07
        1,236,452
        0.3
        FD-S4_R1_E07
        910,256
        0.2
        FD-S4_R1_F07
        1,098,742
        0.2
        FD-S4_R1_G07
        974,184
        0.2
        FD-S4_R1_H07
        1,048,341
        0.2
        FD-S4_R1_A08
        1,403,622
        0.3
        FD-S4_R1_B08
        648,243
        0.1
        FD-S4_R1_C08
        947,082
        0.2
        FD-S4_R1_D08
        942,698
        0.2
        FD-S4_R1_E08
        1,013,017
        0.2
        FD-S4_R1_F08
        1,376,866
        0.3
        FD-S4_R1_G08
        765,302
        0.2
        FD-S4_R1_H08
        1,594,180
        0.3
        FD-S4_R1_A09
        1,001,347
        0.2
        FD-S4_R1_B09
        563,916
        0.1
        FD-S4_R1_C09
        1,613,630
        0.3
        FD-S4_R1_D09
        1,510,833
        0.3
        FD-S4_R1_E09
        277,654
        0.1
        FD-S4_R1_F09
        1,051,281
        0.2
        FD-S4_R1_G09
        956,798
        0.2
        FD-S4_R1_H09
        1,018,046
        0.2
        FD-S4_R1_A10
        1,261,093
        0.3
        FD-S4_R1_B10
        954,170
        0.2
        FD-S4_R1_C10
        2,426,652
        0.5
        FD-S4_R1_D10
        1,405,935
        0.3
        FD-S4_R1_E10
        920,876
        0.2
        FD-S4_R1_F10
        821,293
        0.2
        FD-S4_R1_G10
        1,241,359
        0.3
        FD-S4_R1_H10
        941,091
        0.2
        FD-S4_R1_A11
        1,508,789
        0.3
        FD-S4_R1_B11
        534,662
        0.1
        FD-S4_R1_C11
        1,798,754
        0.4
        FD-S4_R1_D11
        1,291,385
        0.3
        FD-S4_R1_E11
        1,063,062
        0.2
        FD-S4_R1_F11
        1,196,870
        0.3
        FD-S4_R1_G11
        814,056
        0.2
        FD-S4_R1_H11
        901,945
        0.2
        FD-S4_R1_A12
        486,327
        0.1
        FD-S4_R1_B12
        862,005
        0.2
        FD-S4_R1_C12
        132,102
        0.0
        FD-S4_R1_D12
        83.0
        0.0
        FD-S4_R1_E12
        75.0
        0.0
        FD-S4_R1_F12
        1,199,978
        0.3
        FD-S4_R1_G12
        959,919
        0.2
        FD-S4_R1_H12
        522.0
        0.0
        FD-S4_R2_A01
        659,956
        0.1
        FD-S4_R2_B01
        1,409,145
        0.3
        FD-S4_R2_C01
        1,108,549
        0.2
        FD-S4_R2_D01
        2,643,745
        0.6
        FD-S4_R2_E01
        2,115,848
        0.5
        FD-S4_R2_F01
        1,213,820
        0.3
        FD-S4_R2_G01
        1,421,798
        0.3
        FD-S4_R2_H01
        765,444
        0.2
        FD-S4_R2_A02
        1,030,460
        0.2
        FD-S4_R2_B02
        1,868,569
        0.4
        FD-S4_R2_C02
        832,989
        0.2
        FD-S4_R2_D02
        1,428,544
        0.3
        FD-S4_R2_E02
        1,132,991
        0.2
        FD-S4_R2_F02
        895,279
        0.2
        FD-S4_R2_G02
        994,592
        0.2
        FD-S4_R2_H02
        917,504
        0.2
        FD-S4_R2_A03
        1,585,121
        0.3
        FD-S4_R2_B03
        2,377,626
        0.5
        FD-S4_R2_C03
        1,163,985
        0.2
        FD-S4_R2_D03
        1,764,196
        0.4
        FD-S4_R2_E03
        1,241,229
        0.3
        FD-S4_R2_F03
        1,677,855
        0.4
        FD-S4_R2_G03
        880,970
        0.2
        FD-S4_R2_H03
        1,224,971
        0.3
        FD-S4_R2_A04
        1,165,680
        0.2
        FD-S4_R2_B04
        2,386,135
        0.5
        FD-S4_R2_C04
        1,595,460
        0.3
        FD-S4_R2_D04
        1,697,581
        0.4
        FD-S4_R2_E04
        849,883
        0.2
        FD-S4_R2_F04
        998,087
        0.2
        FD-S4_R2_G04
        981,054
        0.2
        FD-S4_R2_H04
        1,216,677
        0.3
        FD-S4_R2_A05
        1,763,688
        0.4
        FD-S4_R2_B05
        3,578,169
        0.8
        FD-S4_R2_C05
        3,125,108
        0.7
        FD-S4_R2_D05
        1,331,342
        0.3
        FD-S4_R2_E05
        872,059
        0.2
        FD-S4_R2_F05
        613,667
        0.1
        FD-S4_R2_G05
        939,443
        0.2
        FD-S4_R2_H05
        1,131,256
        0.2
        FD-S4_R2_A06
        1,889,362
        0.4
        FD-S4_R2_B06
        1,072,634
        0.2
        FD-S4_R2_C06
        1,779,462
        0.4
        FD-S4_R2_D06
        2,848,986
        0.6
        FD-S4_R2_E06
        627,435
        0.1
        FD-S4_R2_F06
        820,929
        0.2
        FD-S4_R2_G06
        885,753
        0.2
        FD-S4_R2_H06
        1,071,506
        0.2
        FD-S4_R2_A07
        758,818
        0.2
        FD-S4_R2_B07
        2,146,755
        0.5
        FD-S4_R2_C07
        416,717
        0.1
        FD-S4_R2_D07
        1,781,765
        0.4
        FD-S4_R2_E07
        815,710
        0.2
        FD-S4_R2_F07
        831,130
        0.2
        FD-S4_R2_G07
        885,220
        0.2
        FD-S4_R2_H07
        738,922
        0.2
        FD-S4_R2_A08
        968,746
        0.2
        FD-S4_R2_B08
        1,101,286
        0.2
        FD-S4_R2_C08
        487,609
        0.1
        FD-S4_R2_D08
        792,298
        0.2
        FD-S4_R2_E08
        635,359
        0.1
        FD-S4_R2_F08
        2,021,062
        0.4
        FD-S4_R2_G08
        475,696
        0.1
        FD-S4_R2_H08
        1,460,343
        0.3
        FD-S4_R2_A09
        297,759
        0.1
        FD-S4_R2_B09
        872,033
        0.2
        FD-S4_R2_C09
        450,408
        0.1
        FD-S4_R2_D09
        1,228,392
        0.3
        FD-S4_R2_E09
        51,999
        0.0
        FD-S4_R2_F09
        250,683
        0.1
        FD-S4_R2_G09
        1,656,887
        0.4
        FD-S4_R2_H09
        502,274
        0.1
        FD-S4_R2_A10
        551,581
        0.1
        FD-S4_R2_B10
        1,135,269
        0.2
        FD-S4_R2_C10
        1,029,065
        0.2
        FD-S4_R2_D10
        2,010,970
        0.4
        FD-S4_R2_E10
        475,028
        0.1
        FD-S4_R2_F10
        683,288
        0.1
        FD-S4_R2_G10
        794,246
        0.2
        FD-S4_R2_H10
        837,201
        0.2
        FD-S4_R2_A11
        1,357,380
        0.3
        FD-S4_R2_B11
        432,307
        0.1
        FD-S4_R2_C11
        761,908
        0.2
        FD-S4_R2_D11
        1,370,736
        0.3
        FD-S4_R2_E11
        1,249,727
        0.3
        FD-S4_R2_F11
        904,915
        0.2
        FD-S4_R2_G11
        589,140
        0.1
        FD-S4_R2_H11
        623,059
        0.1
        FD-S4_R2_A12
        244,293
        0.1
        FD-S4_R2_B12
        779,370
        0.2
        FD-S4_R2_C12
        252,052
        0.1
        FD-S4_R2_D12
        31,514
        0.0
        FD-S4_R2_E12
        3,678
        0.0
        FD-S4_R2_F12
        1,327,136
        0.3
        FD-S4_R2_G12
        791,196
        0.2
        FD-S4_R2_H12
        4,572
        0.0

        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 (%)
        GGGGGGGGAGATCTCG
        14627861.0
        50.8
        GGGGGGGGGGGGGGGG
        317457.0
        1.1
        GGGGGGGGTCTTACGC
        254123.0
        0.9
        GGGGGGGGTATGCAGT
        240896.0
        0.8
        GGGGGGGGAGCTAGAA
        230877.0
        0.8
        GGGGGGGGACTCTAGG
        211022.0
        0.7
        GGGGGGGGTCGCATAA
        209708.0
        0.7
        GGGGGGGGATAGCCTT
        204953.0
        0.7
        GGGGGGGGATAGAGAG
        204732.0
        0.7
        GGGGGGGGTACTCCTT
        200648.0
        0.7
        GGGGGGGGCTAGTCGA
        194016.0
        0.7
        GGGGGGGGAGGCTTAG
        184957.0
        0.6
        GGGGGGGGATTAGACG
        182585.0
        0.6
        GGGGGGGGCTCCTTAC
        175162.0
        0.6
        GGGGGGGGTAAGGCTC
        174502.0
        0.6
        GGGGGGGGAGAGGATA
        165997.0
        0.6
        GGGGGGGGCTTAATAG
        160848.0
        0.6
        GGGGGGGGCGGAGAGA
        157345.0
        0.6
        GGGGGGGGAGCTCTCG
        87113.0
        0.3
        ACTCGCTAGGGGGGGG
        46799.0
        0.2

        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
        529,531,408
        466,278,149
        6.2
        3.2

        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 (151bp).


        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).