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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.

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        Report generated on 2017-10-09, 11:10 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/000000000-B4Y2B/1


        General Statistics

        Showing 192/192 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        000000000-B4Y2B_l01n01_3001_d-2_nw.3510000009f91b
        52.4%
        48%
        0.1
        000000000-B4Y2B_l01n01_3001_d1_nw.3510000009fd4e
        76.5%
        44%
        0.1
        000000000-B4Y2B_l01n01_3001_d3_nw.3510000009fae1
        79.9%
        44%
        0.1
        000000000-B4Y2B_l01n01_3001_d5_nw.3510000009fac7
        58.7%
        44%
        0.0
        000000000-B4Y2B_l01n01_3001_d8_nw.3510000009fa1a
        61.7%
        45%
        0.1
        000000000-B4Y2B_l01n01_3002_d-2_nw.3510000009fe5a
        62.0%
        46%
        0.2
        000000000-B4Y2B_l01n01_3002_d1_nw.3510000009fbd3
        80.8%
        44%
        0.1
        000000000-B4Y2B_l01n01_3002_d3_nw.3510000009fa0d
        82.8%
        44%
        0.1
        000000000-B4Y2B_l01n01_3002_d5_nw.3510000009fe66
        81.3%
        44%
        0.2
        000000000-B4Y2B_l01n01_3002_d8_nw.3510000009fd0a
        26.2%
        48%
        0.0
        000000000-B4Y2B_l01n01_3003_d-2_nw.3510000009f8e3
        53.5%
        46%
        0.1
        000000000-B4Y2B_l01n01_3003_d1_nw.3510000009f978
        83.4%
        44%
        0.2
        000000000-B4Y2B_l01n01_3003_d3_nw.3510000009f9ff
        82.2%
        44%
        0.1
        000000000-B4Y2B_l01n01_3003_d5_nw.3510000009fc25
        79.9%
        44%
        0.1
        000000000-B4Y2B_l01n01_3003_d8_nw.3510000009f985
        54.8%
        46%
        0.1
        000000000-B4Y2B_l01n01_3004_d-2_nw.3510000009fc18
        2.8%
        46%
        0.0
        000000000-B4Y2B_l01n01_3004_d1_nw.3510000009fcc5
        81.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3004_d3_nw.3510000009f9bb
        84.0%
        44%
        0.2
        000000000-B4Y2B_l01n01_3004_d5_nw.3510000009fc9f
        73.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_3004_d8_nw.3510000009fbc6
        49.1%
        47%
        0.1
        000000000-B4Y2B_l01n01_3005_d1_nw.3510000009fd74
        78.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_3005_d3_nw.3510000009fa77
        82.0%
        44%
        0.1
        000000000-B4Y2B_l01n01_3005_d5_nw.3510000009fb83
        80.2%
        44%
        0.1
        000000000-B4Y2B_l01n01_3005_d8_nw.3510000009f8f0
        75.4%
        45%
        0.2
        000000000-B4Y2B_l01n01_3006_d1_nw.3510000009fcac
        80.3%
        44%
        0.1
        000000000-B4Y2B_l01n01_3006_d3_nw.3510000009fb33
        82.9%
        44%
        0.1
        000000000-B4Y2B_l01n01_3006_d5_nw.3510000009fa5e
        82.5%
        44%
        0.2
        000000000-B4Y2B_l01n01_3006_d8_nw.3510000009f992
        51.8%
        46%
        0.1
        000000000-B4Y2B_l01n01_3007_d1_nw.3510000009fb40
        75.9%
        44%
        0.1
        000000000-B4Y2B_l01n01_3007_d3_nw.3510000009fcd2
        76.0%
        44%
        0.1
        000000000-B4Y2B_l01n01_3007_d5_nw.3510000009fb26
        79.0%
        44%
        0.1
        000000000-B4Y2B_l01n01_3007_d8_nw.3510000009fc32
        46.4%
        47%
        0.1
        000000000-B4Y2B_l01n01_3008_d1_nw.3510000009f9d5
        84.9%
        44%
        0.2
        000000000-B4Y2B_l01n01_3008_d3_nw.3510000009fbad
        81.5%
        44%
        0.1
        000000000-B4Y2B_l01n01_3008_d5_nw.3510000009fbe0
        78.2%
        44%
        0.1
        000000000-B4Y2B_l01n01_3008_d8_nw.3510000009f9c8
        56.6%
        47%
        0.2
        000000000-B4Y2B_l01n01_3009_d1_nw.3510000009f942
        85.5%
        44%
        0.2
        000000000-B4Y2B_l01n01_3009_d3_nw.3510000009faae
        77.2%
        44%
        0.1
        000000000-B4Y2B_l01n01_3009_d5_nw.3510000009fad4
        81.8%
        44%
        0.2
        000000000-B4Y2B_l01n01_3009_d8_nw.3510000009fa34
        53.4%
        47%
        0.2
        000000000-B4Y2B_l01n01_3010_d1_nw.3510000009fc82
        78.0%
        44%
        0.1
        000000000-B4Y2B_l01n01_3010_d3_nw.3510000009fd9e
        76.4%
        44%
        0.1
        000000000-B4Y2B_l01n01_3010_d5_nw.3510000009fb90
        74.6%
        44%
        0.1
        000000000-B4Y2B_l01n01_3010_d8_nw.3510000009fa27
        51.7%
        47%
        0.2
        000000000-B4Y2B_l01n01_3011_d1_nw.3510000009fe30
        83.7%
        44%
        0.2
        000000000-B4Y2B_l01n01_3011_d3_nw.3510000009fdc4
        75.9%
        45%
        0.1
        000000000-B4Y2B_l01n01_3011_d5_nw.3510000009fe23
        81.2%
        44%
        0.2
        000000000-B4Y2B_l01n01_3011_d8_nw.3510000009f9af
        67.8%
        45%
        0.1
        000000000-B4Y2B_l01n01_3012_d1_nw.3510000009fdfb
        83.8%
        44%
        0.2
        000000000-B4Y2B_l01n01_3012_d3_nw.3510000009fb0c
        79.6%
        44%
        0.1
        000000000-B4Y2B_l01n01_3012_d5_nw.3510000009fb19
        76.6%
        44%
        0.1
        000000000-B4Y2B_l01n01_3012_d8_nw.3510000009fb76
        66.8%
        45%
        0.1
        000000000-B4Y2B_l01n01_3013_d1_nw.3510000009fc68
        80.2%
        44%
        0.1
        000000000-B4Y2B_l01n01_3013_d3_nw.3510000009fe73
        82.6%
        44%
        0.1
        000000000-B4Y2B_l01n01_3013_d5_nw.3510000009fa91
        74.8%
        44%
        0.1
        000000000-B4Y2B_l01n01_3013_d8_nw.3510000009fbfd
        42.8%
        47%
        0.1
        000000000-B4Y2B_l01n01_3014_d1_nw.3510000009fbb9
        81.8%
        44%
        0.1
        000000000-B4Y2B_l01n01_3014_d3_nw.3510000009fdab
        78.8%
        44%
        0.1
        000000000-B4Y2B_l01n01_3014_d5_nw.3510000009f928
        83.1%
        44%
        0.2
        000000000-B4Y2B_l01n01_3014_d8_nw.3510000009fd67
        63.1%
        45%
        0.1
        000000000-B4Y2B_l01n01_3015_d1_nw.3510000009fcef
        74.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_3015_d3_nw.3510000009fa41
        84.3%
        44%
        0.2
        000000000-B4Y2B_l01n01_3015_d5_nw.3510000009fe16
        79.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3015_d8_nw.3510000009fc5c
        78.1%
        45%
        0.1
        000000000-B4Y2B_l01n01_3016_d1_nw.3510000009fc75
        77.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3016_d3_nw.3510000009f96b
        81.0%
        44%
        0.1
        000000000-B4Y2B_l01n01_3016_d5_nw.3510000009f90e
        82.8%
        44%
        0.2
        000000000-B4Y2B_l01n01_3016_d8_nw.3510000009fd17
        25.9%
        48%
        0.0
        000000000-B4Y2B_l01n01_3021_d-2_nw.3510000009fdd1
        17.2%
        47%
        0.1
        000000000-B4Y2B_l01n01_3021_d1_nw.3510000009fd31
        77.3%
        44%
        0.1
        000000000-B4Y2B_l01n01_3021_d3_nw.3510000009fc0b
        81.5%
        44%
        0.1
        000000000-B4Y2B_l01n01_3021_d5_nw.3510000009f9e2
        80.5%
        44%
        0.1
        000000000-B4Y2B_l01n01_3022_d-2_nw.3510000009f95f
        35.4%
        46%
        0.2
        000000000-B4Y2B_l01n01_3022_d1_nw.3510000009fafe
        81.6%
        44%
        0.1
        000000000-B4Y2B_l01n01_3022_d3_nw.3510000009fcb8
        80.4%
        44%
        0.1
        000000000-B4Y2B_l01n01_3022_d5_nw.3510000009fdb7
        76.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3023_d1_nw.3510000009fd81
        78.5%
        44%
        0.1
        000000000-B4Y2B_l01n01_3023_d3_nw.3510000009fa84
        81.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3024_d-2_nw.3510000009fc4f
        29.5%
        47%
        0.1
        000000000-B4Y2B_l01n01_3024_d1_nw.3510000009faba
        83.6%
        44%
        0.2
        000000000-B4Y2B_l01n01_3024_d3_nw.3510000009fe09
        83.0%
        44%
        0.2
        000000000-B4Y2B_l01n01_3025_d-2_nw.3510000009fe4d
        42.4%
        46%
        0.2
        000000000-B4Y2B_l01n01_3025_d1_nw.3510000009f935
        86.1%
        44%
        0.2
        000000000-B4Y2B_l01n01_3025_d3_nw.3510000009fa6a
        79.3%
        44%
        0.1
        000000000-B4Y2B_l01n01_3026_d1_nw.3510000009fdee
        84.0%
        44%
        0.2
        000000000-B4Y2B_l01n01_3026_d3_nw.3510000009fb69
        79.3%
        44%
        0.1
        000000000-B4Y2B_l01n01_3027_d1_nw.3510000009fb5d
        76.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_3027_d3_nw.3510000009fcfc
        75.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_3028_d1_nw.3510000009fd24
        77.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_3028_d3_nw.3510000009fd5b
        80.7%
        44%
        0.1
        000000000-B4Y2B_l01n01_cal-09.3510000009feaa
        84.8%
        44%
        0.2
        000000000-B4Y2B_l01n01_extraction_neg_ctrl.3510000009fe9d
        67.3%
        45%
        0.0
        000000000-B4Y2B_l01n01_lp_neg_ctrl.3510000009fec3
        2.8%
        45%
        0.0
        000000000-B4Y2B_l01n01_ny238_plasmid_mix.3510000009feb6
        81.0%
        47%
        0.1
        000000000-B4Y2B_l01n01_pr8.3510000009fe80
        81.1%
        44%
        0.1
        000000000-B4Y2B_l01n01_rt-pcr_neg_ctrl.3510000009fed0
        74.2%
        58%
        0.0
        000000000-B4Y2B_l01n02_3001_d-2_nw.3520000009f918
        40.7%
        48%
        0.1
        000000000-B4Y2B_l01n02_3001_d1_nw.3520000009fd4b
        72.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3001_d3_nw.3520000009faee
        75.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3001_d5_nw.3520000009fac4
        45.3%
        44%
        0.0
        000000000-B4Y2B_l01n02_3001_d8_nw.3520000009fa17
        41.5%
        45%
        0.1
        000000000-B4Y2B_l01n02_3002_d-2_nw.3520000009fe57
        59.7%
        46%
        0.2
        000000000-B4Y2B_l01n02_3002_d1_nw.3520000009fbd0
        77.9%
        44%
        0.1
        000000000-B4Y2B_l01n02_3002_d3_nw.3520000009fa0a
        69.9%
        44%
        0.1
        000000000-B4Y2B_l01n02_3002_d5_nw.3520000009fe63
        71.4%
        44%
        0.2
        000000000-B4Y2B_l01n02_3002_d8_nw.3520000009fd07
        24.4%
        48%
        0.0
        000000000-B4Y2B_l01n02_3003_d-2_nw.3520000009f8e0
        45.0%
        46%
        0.1
        000000000-B4Y2B_l01n02_3003_d1_nw.3520000009f975
        76.2%
        44%
        0.2
        000000000-B4Y2B_l01n02_3003_d3_nw.3520000009f9fc
        69.1%
        44%
        0.1
        000000000-B4Y2B_l01n02_3003_d5_nw.3520000009fc22
        77.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3003_d8_nw.3520000009f982
        49.7%
        46%
        0.1
        000000000-B4Y2B_l01n02_3004_d-2_nw.3520000009fc15
        2.3%
        45%
        0.0
        000000000-B4Y2B_l01n02_3004_d1_nw.3520000009fcc2
        74.3%
        44%
        0.1
        000000000-B4Y2B_l01n02_3004_d3_nw.3520000009f9b8
        76.7%
        44%
        0.2
        000000000-B4Y2B_l01n02_3004_d5_nw.3520000009fc9c
        63.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3004_d8_nw.3520000009fbc3
        45.1%
        47%
        0.1
        000000000-B4Y2B_l01n02_3005_d1_nw.3520000009fd71
        75.2%
        44%
        0.1
        000000000-B4Y2B_l01n02_3005_d3_nw.3520000009fa74
        79.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3005_d5_nw.3520000009fb80
        76.5%
        44%
        0.1
        000000000-B4Y2B_l01n02_3005_d8_nw.3520000009f8fd
        69.6%
        45%
        0.2
        000000000-B4Y2B_l01n02_3006_d1_nw.3520000009fca9
        73.5%
        44%
        0.1
        000000000-B4Y2B_l01n02_3006_d3_nw.3520000009fb30
        80.7%
        44%
        0.1
        000000000-B4Y2B_l01n02_3006_d5_nw.3520000009fa5b
        70.5%
        44%
        0.2
        000000000-B4Y2B_l01n02_3006_d8_nw.3520000009f99f
        40.4%
        47%
        0.1
        000000000-B4Y2B_l01n02_3007_d1_nw.3520000009fb4d
        69.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3007_d3_nw.3520000009fcdf
        74.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3007_d5_nw.3520000009fb23
        76.1%
        44%
        0.1
        000000000-B4Y2B_l01n02_3007_d8_nw.3520000009fc3f
        44.8%
        48%
        0.1
        000000000-B4Y2B_l01n02_3008_d1_nw.3520000009f9d2
        79.0%
        44%
        0.2
        000000000-B4Y2B_l01n02_3008_d3_nw.3520000009fbaa
        77.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3008_d5_nw.3520000009fbed
        74.3%
        44%
        0.1
        000000000-B4Y2B_l01n02_3008_d8_nw.3520000009f9c5
        50.8%
        47%
        0.2
        000000000-B4Y2B_l01n02_3009_d1_nw.3520000009f94f
        77.5%
        44%
        0.2
        000000000-B4Y2B_l01n02_3009_d3_nw.3520000009faab
        73.1%
        44%
        0.1
        000000000-B4Y2B_l01n02_3009_d5_nw.3520000009fad1
        79.7%
        44%
        0.2
        000000000-B4Y2B_l01n02_3009_d8_nw.3520000009fa31
        43.0%
        47%
        0.2
        000000000-B4Y2B_l01n02_3010_d1_nw.3520000009fc8f
        71.2%
        44%
        0.1
        000000000-B4Y2B_l01n02_3010_d3_nw.3520000009fd9b
        64.8%
        44%
        0.1
        000000000-B4Y2B_l01n02_3010_d5_nw.3520000009fb9d
        65.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3010_d8_nw.3520000009fa24
        39.9%
        47%
        0.2
        000000000-B4Y2B_l01n02_3011_d1_nw.3520000009fe3d
        79.8%
        44%
        0.2
        000000000-B4Y2B_l01n02_3011_d3_nw.3520000009fdc1
        70.3%
        45%
        0.1
        000000000-B4Y2B_l01n02_3011_d5_nw.3520000009fe20
        78.3%
        44%
        0.2
        000000000-B4Y2B_l01n02_3011_d8_nw.3520000009f9ac
        60.6%
        46%
        0.1
        000000000-B4Y2B_l01n02_3012_d1_nw.3520000009fdf8
        80.9%
        44%
        0.2
        000000000-B4Y2B_l01n02_3012_d3_nw.3520000009fb09
        78.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3012_d5_nw.3520000009fb16
        70.7%
        44%
        0.1
        000000000-B4Y2B_l01n02_3012_d8_nw.3520000009fb73
        63.4%
        45%
        0.1
        000000000-B4Y2B_l01n02_3013_d1_nw.3520000009fc65
        71.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3013_d3_nw.3520000009fe70
        75.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3013_d5_nw.3520000009fa9e
        67.8%
        44%
        0.1
        000000000-B4Y2B_l01n02_3013_d8_nw.3520000009fbfa
        40.4%
        47%
        0.1
        000000000-B4Y2B_l01n02_3014_d1_nw.3520000009fbb6
        77.7%
        44%
        0.1
        000000000-B4Y2B_l01n02_3014_d3_nw.3520000009fda8
        73.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3014_d5_nw.3520000009f925
        76.2%
        44%
        0.2
        000000000-B4Y2B_l01n02_3014_d8_nw.3520000009fd64
        55.9%
        45%
        0.1
        000000000-B4Y2B_l01n02_3015_d1_nw.3520000009fcec
        69.1%
        44%
        0.1
        000000000-B4Y2B_l01n02_3015_d3_nw.3520000009fa4e
        69.3%
        44%
        0.2
        000000000-B4Y2B_l01n02_3015_d5_nw.3520000009fe13
        71.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3015_d8_nw.3520000009fc59
        77.1%
        45%
        0.1
        000000000-B4Y2B_l01n02_3016_d1_nw.3520000009fc72
        69.2%
        44%
        0.1
        000000000-B4Y2B_l01n02_3016_d3_nw.3520000009f968
        71.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3016_d5_nw.3520000009f90b
        77.3%
        44%
        0.2
        000000000-B4Y2B_l01n02_3016_d8_nw.3520000009fd14
        21.9%
        49%
        0.0
        000000000-B4Y2B_l01n02_3021_d-2_nw.3520000009fdde
        14.5%
        47%
        0.1
        000000000-B4Y2B_l01n02_3021_d1_nw.3520000009fd3e
        74.3%
        44%
        0.1
        000000000-B4Y2B_l01n02_3021_d3_nw.3520000009fc08
        79.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3021_d5_nw.3520000009f9ef
        63.5%
        44%
        0.1
        000000000-B4Y2B_l01n02_3022_d-2_nw.3520000009f95c
        33.3%
        46%
        0.2
        000000000-B4Y2B_l01n02_3022_d1_nw.3520000009fafb
        78.8%
        44%
        0.1
        000000000-B4Y2B_l01n02_3022_d3_nw.3520000009fcb5
        73.9%
        44%
        0.1
        000000000-B4Y2B_l01n02_3022_d5_nw.3520000009fdb4
        71.0%
        44%
        0.1
        000000000-B4Y2B_l01n02_3023_d1_nw.3520000009fd8e
        73.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3023_d3_nw.3520000009fa81
        78.9%
        44%
        0.1
        000000000-B4Y2B_l01n02_3024_d-2_nw.3520000009fc4c
        27.9%
        47%
        0.1
        000000000-B4Y2B_l01n02_3024_d1_nw.3520000009fab7
        80.4%
        44%
        0.2
        000000000-B4Y2B_l01n02_3024_d3_nw.3520000009fe06
        79.1%
        44%
        0.2
        000000000-B4Y2B_l01n02_3025_d-2_nw.3520000009fe4a
        39.6%
        47%
        0.2
        000000000-B4Y2B_l01n02_3025_d1_nw.3520000009f932
        78.9%
        44%
        0.2
        000000000-B4Y2B_l01n02_3025_d3_nw.3520000009fa67
        74.4%
        44%
        0.1
        000000000-B4Y2B_l01n02_3026_d1_nw.3520000009fdeb
        78.4%
        44%
        0.2
        000000000-B4Y2B_l01n02_3026_d3_nw.3520000009fb66
        72.8%
        44%
        0.1
        000000000-B4Y2B_l01n02_3027_d1_nw.3520000009fb5a
        74.8%
        44%
        0.1
        000000000-B4Y2B_l01n02_3027_d3_nw.3520000009fcf9
        73.6%
        44%
        0.1
        000000000-B4Y2B_l01n02_3028_d1_nw.3520000009fd21
        73.9%
        44%
        0.1
        000000000-B4Y2B_l01n02_3028_d3_nw.3520000009fd58
        76.3%
        44%
        0.1
        000000000-B4Y2B_l01n02_cal-09.3520000009fea7
        77.9%
        44%
        0.2
        000000000-B4Y2B_l01n02_extraction_neg_ctrl.3520000009fe9a
        63.5%
        45%
        0.0
        000000000-B4Y2B_l01n02_lp_neg_ctrl.3520000009fec0
        2.4%
        46%
        0.0
        000000000-B4Y2B_l01n02_ny238_plasmid_mix.3520000009feb3
        72.5%
        48%
        0.1
        000000000-B4Y2B_l01n02_pr8.3520000009fe8d
        71.1%
        44%
        0.1
        000000000-B4Y2B_l01n02_rt-pcr_neg_ctrl.3520000009fedd
        72.5%
        58%
        0.0

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 3/3 columns.
        LaneTotal # of Single-End ReadsTotal # PF ReadsUndetermined
        1.0
        13440208
        12058949
        5.08%

        Lane 1 Demultiplexing Report

        Lane 1 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.
        Perfect: The percentage of reads in this library which have a barcode perfectly matching the barcode specified in TuboWeb. The remainder of reads have mismatches upto the max number of mismatches specified in TuboWeb (Allowed barcode mismatch option in your Library Pool).

        Showing 96/96 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        3026_d1_nw
        163233
        1.4
        97.6
        3001_d8_nw
        98207
        0.9
        95.6
        3024_d1_nw
        153318
        1.3
        97.8
        3007_d1_nw
        75877
        0.7
        97.7
        3001_d3_nw
        106064
        0.9
        97.6
        3010_d1_nw
        99402
        0.9
        98.1
        3006_d5_nw
        191712
        1.7
        97.9
        3006_d1_nw
        104303
        0.9
        97.7
        lp_neg_ctrl
        254.0
        0.0
        48.4
        3016_d5_nw
        188536
        1.6
        98.5
        3022_d5_nw
        84621
        0.7
        97.7
        3022_d3_nw
        112398
        1.0
        97.7
        3016_d8_nw
        18881
        0.2
        94.8
        3010_d3_nw
        77571
        0.7
        96.3
        3010_d8_nw
        151726
        1.3
        97.6
        3012_d3_nw
        108923
        1.0
        98.4
        3013_d1_nw
        106745
        0.9
        97.4
        3028_d1_nw
        76769
        0.7
        96.9
        3016_d3_nw
        131310
        1.1
        96.8
        3024_d-2_nw
        112961
        1.0
        97.6
        3027_d1_nw
        82016
        0.7
        98.0
        3007_d8_nw
        75725
        0.7
        97.5
        3021_d1_nw
        78370
        0.7
        96.8
        3011_d3_nw
        86895
        0.8
        97.4
        3021_d-2_nw
        72768
        0.6
        98.2
        ny238_plasmid_mix
        149041
        1.3
        98.1
        3026_d3_nw
        117271
        1.0
        97.5
        extraction_neg_ctrl
        18319
        0.2
        97.1
        3008_d8_nw
        188370
        1.6
        96.6
        3004_d1_nw
        115423
        1.0
        97.3
        3014_d8_nw
        67132
        0.6
        97.4
        3003_d3_nw
        141137
        1.2
        98.1
        3010_d5_nw
        76660
        0.7
        96.3
        3003_d8_nw
        138774
        1.2
        97.5
        3015_d1_nw
        62226
        0.5
        96.6
        3014_d3_nw
        96683
        0.8
        97.9
        3012_d1_nw
        157562
        1.4
        98.6
        3004_d8_nw
        97223
        0.8
        97.6
        3005_d8_nw
        151219
        1.3
        98.7
        3003_d1_nw
        152783
        1.3
        97.6
        3003_d-2_nw
        124211
        1.1
        97.8
        3004_d-2_nw
        214.0
        0.0
        52.8
        3001_d-2_nw
        140388
        1.2
        96.6
        cal-09
        194177
        1.7
        98.1
        3011_d1_nw
        186323
        1.6
        98.0
        3013_d5_nw
        99644
        0.9
        96.5
        3001_d1_nw
        73590
        0.6
        96.3
        3009_d8_nw
        168296
        1.5
        97.5
        3009_d5_nw
        159116
        1.4
        98.4
        3007_d3_nw
        76677
        0.7
        97.3
        3014_d5_nw
        224439
        2.0
        98.3
        3011_d5_nw
        177124
        1.5
        98.0
        3021_d3_nw
        131843
        1.2
        97.9
        rt-pcr_neg_ctrl
        9484
        0.1
        97.8
        3016_d1_nw
        86336
        0.8
        98.4
        3012_d8_nw
        116154
        1.0
        98.4
        3005_d3_nw
        134984
        1.2
        98.5
        3004_d5_nw
        80746
        0.7
        96.5
        3006_d3_nw
        149467
        1.3
        97.9
        3025_d1_nw
        213776
        1.9
        98.1
        3004_d3_nw
        173923
        1.5
        97.0
        3007_d5_nw
        136018
        1.2
        98.3
        3022_d-2_nw
        160380
        1.4
        98.5
        3013_d8_nw
        89998
        0.8
        98.0
        3001_d5_nw
        34739
        0.3
        96.3
        3014_d1_nw
        128268
        1.1
        97.8
        3002_d8_nw
        32518
        0.3
        96.6
        3008_d1_nw
        184825
        1.6
        97.5
        3009_d3_nw
        97555
        0.9
        98.2
        3015_d3_nw
        177703
        1.6
        97.3
        3002_d1_nw
        118142
        1.0
        98.3
        pr8
        131001
        1.1
        98.4
        3022_d1_nw
        122982
        1.1
        98.4
        3002_d5_nw
        168259
        1.5
        97.7
        3027_d3_nw
        73018
        0.6
        97.4
        3012_d5_nw
        94170
        0.8
        96.6
        3002_d-2_nw
        164058
        1.4
        98.3
        3008_d5_nw
        113196
        1.0
        97.6
        3025_d3_nw
        112434
        1.0
        97.6
        3011_d8_nw
        147649
        1.3
        97.1
        3006_d8_nw
        105218
        0.9
        95.3
        3015_d8_nw
        146352
        1.3
        98.1
        3023_d3_nw
        126952
        1.1
        98.4
        3028_d3_nw
        119437
        1.0
        98.2
        3002_d3_nw
        148957
        1.3
        97.9
        3009_d1_nw
        200970
        1.8
        98.0
        3024_d3_nw
        162273
        1.4
        98.4
        3025_d-2_nw
        166845
        1.5
        97.9
        3003_d5_nw
        132310
        1.2
        97.9
        3008_d3_nw
        125030
        1.1
        97.9
        3005_d5_nw
        136432
        1.2
        98.3
        3005_d1_nw
        96610
        0.8
        98.4
        3023_d1_nw
        88604
        0.8
        98.2
        3021_d5_nw
        124210
        1.1
        97.1
        3013_d3_nw
        142373
        1.2
        98.5
        3015_d5_nw
        127638
        1.1
        96.5

        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).