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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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        About MultiQC

        This report was generated using MultiQC, version 1.9

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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 2024-01-17, 21:57 based on data in: /scratch/gencore/logs/html/HNTFHDMXY/merged


        General Statistics

        Showing 298/298 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        HNTFHDMXY_n01_KHC-001_r2
        64.4%
        42%
        28.5
        HNTFHDMXY_n01_KHC-002_r2
        33.7%
        50%
        15.2
        HNTFHDMXY_n01_KHC-003_r2
        69.3%
        41%
        14.2
        HNTFHDMXY_n01_KHC-004_r2
        67.5%
        42%
        23.4
        HNTFHDMXY_n01_KHC-005_r2
        73.7%
        41%
        19.9
        HNTFHDMXY_n01_KHC-006_r2
        29.0%
        48%
        7.7
        HNTFHDMXY_n01_KHC-007_r2
        47.1%
        51%
        18.8
        HNTFHDMXY_n01_KHC-008_r2
        87.7%
        39%
        27.8
        HNTFHDMXY_n01_KHC-009_r2
        78.5%
        40%
        18.9
        HNTFHDMXY_n01_KHC-010_r2
        48.0%
        54%
        18.7
        HNTFHDMXY_n01_KHC-011_r2
        37.0%
        48%
        18.3
        HNTFHDMXY_n01_KHC-012_r2
        54.8%
        63%
        13.8
        HNTFHDMXY_n01_KHC-013_r2
        33.5%
        41%
        17.7
        HNTFHDMXY_n01_KHC-014_r2
        53.8%
        52%
        19.8
        HNTFHDMXY_n01_KHC-015_r2
        79.0%
        40%
        28.6
        HNTFHDMXY_n01_KHC-016_r2
        0.0%
        29%
        0.0
        HNTFHDMXY_n01_MHC-001_r2
        70.3%
        42%
        18.2
        HNTFHDMXY_n01_MHC-002_r2
        35.6%
        40%
        24.1
        HNTFHDMXY_n01_MHC-003_r2
        54.6%
        44%
        19.1
        HNTFHDMXY_n01_MHC-004_r2
        78.8%
        45%
        33.9
        HNTFHDMXY_n01_MHC-005_r2
        35.6%
        46%
        28.7
        HNTFHDMXY_n01_MHC-006_r2
        56.2%
        52%
        26.6
        HNTFHDMXY_n01_MHC-007_r2
        31.2%
        49%
        15.7
        HNTFHDMXY_n01_MHC-008_r2
        50.0%
        52%
        25.6
        HNTFHDMXY_n01_MHC-009_r2
        72.4%
        41%
        19.4
        HNTFHDMXY_n01_MHC-010_r2
        41.5%
        46%
        18.2
        HNTFHDMXY_n01_MHC-011_r2
        83.5%
        39%
        33.2
        HNTFHDMXY_n01_MHC-012_r2
        66.6%
        41%
        19.1
        HNTFHDMXY_n01_MHC-013_r2
        41.9%
        46%
        31.2
        HNTFHDMXY_n01_MHC-014_r2
        58.0%
        44%
        14.7
        HNTFHDMXY_n01_MHC-015_r2
        34.6%
        40%
        12.9
        HNTFHDMXY_n01_MHC-016_r2
        72.1%
        41%
        22.3
        HNTFHDMXY_n01_MHC-017_r2
        35.4%
        41%
        13.0
        HNTFHDMXY_n01_MHC-018_r2
        38.7%
        40%
        12.9
        HNTFHDMXY_n01_MHC-019_r2
        58.6%
        45%
        24.7
        HNTFHDMXY_n01_MHC-020_r2
        81.4%
        40%
        42.1
        HNTFHDMXY_n01_MHC-021_r2
        76.0%
        40%
        24.1
        HNTFHDMXY_n01_MHC-022_r2
        52.7%
        39%
        12.8
        HNTFHDMXY_n01_MHC-023_r2
        86.3%
        41%
        43.5
        HNTFHDMXY_n01_MHC-024_r2
        75.9%
        40%
        20.1
        HNTFHDMXY_n01_MHC-025_r2
        32.1%
        49%
        13.0
        HNTFHDMXY_n01_MHC-026_r2
        45.6%
        48%
        31.9
        HNTFHDMXY_n01_MHC-027_r2
        54.9%
        50%
        34.2
        HNTFHDMXY_n01_MHC-028_r2
        78.5%
        41%
        23.5
        HNTFHDMXY_n01_MHC-029_r2
        40.7%
        49%
        19.4
        HNTFHDMXY_n01_MHC-030_r2
        50.4%
        50%
        24.7
        HNTFHDMXY_n01_MHC-031_r2
        75.8%
        41%
        38.2
        HNTFHDMXY_n01_MHC-032_r2
        65.1%
        54%
        35.2
        HNTFHDMXY_n01_MHC-033_r2
        44.1%
        50%
        16.6
        HNTFHDMXY_n01_MHC-034_r2
        64.5%
        43%
        27.1
        HNTFHDMXY_n01_MHC-035_r2
        50.0%
        48%
        55.1
        HNTFHDMXY_n01_MHC-036_r2
        41.0%
        50%
        20.9
        HNTFHDMXY_n01_MHC-037_r2
        42.0%
        47%
        15.6
        HNTFHDMXY_n01_MHC-038_r2
        57.1%
        54%
        30.0
        HNTFHDMXY_n01_MHC-039_r2
        54.0%
        52%
        22.3
        HNTFHDMXY_n01_MHC-040_r2
        44.3%
        48%
        23.9
        HNTFHDMXY_n01_MHC-041_r2
        40.9%
        47%
        24.9
        HNTFHDMXY_n01_MHC-042_r2
        62.1%
        43%
        23.5
        HNTFHDMXY_n01_MHC-043_r2
        32.2%
        47%
        18.5
        HNTFHDMXY_n01_MHC-044_r2
        48.8%
        47%
        21.9
        HNTFHDMXY_n01_MHC-045_r2
        80.0%
        41%
        16.7
        HNTFHDMXY_n01_MHC-046_r2
        74.0%
        39%
        20.5
        HNTFHDMXY_n01_MHC-047_r2
        56.7%
        47%
        41.0
        HNTFHDMXY_n01_MHC-048_r2
        87.3%
        40%
        19.9
        HNTFHDMXY_n01_MHC-049_r2
        49.1%
        49%
        36.5
        HNTFHDMXY_n01_MHC-050_r2
        27.7%
        45%
        19.1
        HNTFHDMXY_n01_MHC-051_r2
        32.4%
        48%
        19.6
        HNTFHDMXY_n01_MHC-052_r2
        46.2%
        49%
        27.6
        HNTFHDMXY_n01_MHC-053_r2
        38.2%
        48%
        23.3
        HNTFHDMXY_n01_MHC-054_r2
        45.7%
        45%
        18.1
        HNTFHDMXY_n01_MHC-055_r2
        90.3%
        52%
        55.0
        HNTFHDMXY_n01_MHC-056_r2
        82.4%
        39%
        22.0
        HNTFHDMXY_n01_MHC-057_r2
        74.6%
        41%
        14.5
        HNTFHDMXY_n01_MHC-058_r2
        59.6%
        44%
        18.3
        HNTFHDMXY_n01_MHC-059_r2
        43.9%
        49%
        20.5
        HNTFHDMXY_n01_MHC-060_r2
        40.7%
        48%
        22.3
        HNTFHDMXY_n01_MHC-061_r2
        66.5%
        46%
        22.3
        HNTFHDMXY_n01_MHC-062_r2
        70.3%
        42%
        18.6
        HNTFHDMXY_n01_MHC-063_r2
        44.8%
        48%
        33.2
        HNTFHDMXY_n01_MHC-064_r2
        44.2%
        47%
        29.5
        HNTFHDMXY_n01_MHC-065_r2
        33.3%
        45%
        22.4
        HNTFHDMXY_n01_MHC-066_r2
        38.0%
        46%
        30.4
        HNTFHDMXY_n01_MHC-067_r2
        55.2%
        44%
        15.0
        HNTFHDMXY_n01_MHC-068_r2
        67.5%
        43%
        26.8
        HNTFHDMXY_n01_MHC-069_r2
        61.6%
        45%
        24.1
        HNTFHDMXY_n01_MHC-070_r2
        78.2%
        41%
        58.6
        HNTFHDMXY_n01_MHC-071_r2
        81.7%
        42%
        35.4
        HNTFHDMXY_n01_MHC-072_r2
        41.4%
        50%
        23.9
        HNTFHDMXY_n01_MHC-073_r2
        70.2%
        42%
        26.9
        HNTFHDMXY_n01_MHC-074_r2
        39.8%
        47%
        20.5
        HNTFHDMXY_n01_MHC-075_r2
        31.6%
        46%
        20.1
        HNTFHDMXY_n01_MHC-076_r2
        82.3%
        41%
        32.7
        HNTFHDMXY_n01_MHC-077_r2
        32.4%
        45%
        20.5
        HNTFHDMXY_n01_MHC-078_r2
        70.1%
        43%
        35.0
        HNTFHDMXY_n01_MHC-079_r2
        41.8%
        49%
        20.0
        HNTFHDMXY_n01_MHC-080_r2
        48.9%
        43%
        25.3
        HNTFHDMXY_n01_MHC-081_r2
        64.1%
        51%
        28.4
        HNTFHDMXY_n01_MHC-082_r2
        82.5%
        40%
        25.6
        HNTFHDMXY_n01_MHC-083_r2
        90.1%
        55%
        45.7
        HNTFHDMXY_n01_MHC-084_r2
        46.2%
        49%
        24.6
        HNTFHDMXY_n01_MHC-085_r2
        77.6%
        41%
        33.9
        HNTFHDMXY_n01_MHC-086_r2
        86.0%
        43%
        22.6
        HNTFHDMXY_n01_MHC-087_r2
        82.1%
        41%
        52.7
        HNTFHDMXY_n01_MHC-088_r2
        66.6%
        46%
        17.2
        HNTFHDMXY_n01_MHC-089_r2
        35.8%
        42%
        17.5
        HNTFHDMXY_n01_MHC-090_r2
        70.0%
        39%
        33.2
        HNTFHDMXY_n01_MHC-091_r2
        39.5%
        44%
        22.8
        HNTFHDMXY_n01_MHC-092_r2
        70.8%
        39%
        23.2
        HNTFHDMXY_n01_MTH-001_r2
        36.4%
        47%
        17.4
        HNTFHDMXY_n01_MTH-002_r2
        50.6%
        50%
        26.1
        HNTFHDMXY_n01_MTH-003_r2
        57.9%
        43%
        16.9
        HNTFHDMXY_n01_MTH-004_r2
        50.2%
        48%
        29.3
        HNTFHDMXY_n01_MTH-005_r2
        88.3%
        38%
        36.9
        HNTFHDMXY_n01_MTH-006_r2
        80.5%
        40%
        35.3
        HNTFHDMXY_n01_MTH-007_r2
        44.4%
        48%
        23.9
        HNTFHDMXY_n01_MTH-008_r2
        46.5%
        46%
        48.9
        HNTFHDMXY_n01_MTH-009_r2
        61.8%
        43%
        27.6
        HNTFHDMXY_n01_MTH-010_r2
        45.6%
        48%
        38.3
        HNTFHDMXY_n01_MTH-011_r2
        53.2%
        40%
        15.1
        HNTFHDMXY_n01_MTH-012_r2
        46.5%
        49%
        22.4
        HNTFHDMXY_n01_MTH-013_r2
        46.3%
        46%
        47.7
        HNTFHDMXY_n01_MTH-014_r2
        69.1%
        42%
        22.4
        HNTFHDMXY_n01_MTH-015_r2
        39.9%
        47%
        40.9
        HNTFHDMXY_n01_MTH-016_r2
        47.2%
        41%
        16.5
        HNTFHDMXY_n01_MTH-017_r2
        43.5%
        48%
        32.9
        HNTFHDMXY_n01_MTH-018_r2
        38.1%
        45%
        27.1
        HNTFHDMXY_n01_MTH-019_r2
        72.0%
        45%
        43.9
        HNTFHDMXY_n01_MTH-020_r2
        37.3%
        42%
        13.9
        HNTFHDMXY_n01_MTH-021_r2
        83.2%
        40%
        27.8
        HNTFHDMXY_n01_MTH-022_r2
        81.8%
        38%
        27.1
        HNTFHDMXY_n01_MTH-023_r2
        42.2%
        46%
        39.7
        HNTFHDMXY_n01_MTH-024_r2
        38.8%
        47%
        22.9
        HNTFHDMXY_n01_MTH-025_r2
        67.0%
        40%
        33.7
        HNTFHDMXY_n01_MTH-026_r2
        49.8%
        47%
        30.7
        HNTFHDMXY_n01_MTH-027_r2
        32.9%
        44%
        19.5
        HNTFHDMXY_n01_MTH-028_r2
        77.1%
        39%
        36.6
        HNTFHDMXY_n01_MTH-029_r2
        81.3%
        58%
        36.3
        HNTFHDMXY_n01_MTH-030_r2
        38.1%
        47%
        21.8
        HNTFHDMXY_n01_MTH-031_r2
        80.9%
        39%
        22.6
        HNTFHDMXY_n01_MTH-032_r2
        33.3%
        45%
        20.8
        HNTFHDMXY_n01_MTH-033_r2
        88.0%
        39%
        19.6
        HNTFHDMXY_n01_MTH-034_r2
        75.7%
        39%
        26.5
        HNTFHDMXY_n01_MTH-035_r2
        44.3%
        46%
        37.4
        HNTFHDMXY_n01_MTH-036_r2
        42.8%
        47%
        34.3
        HNTFHDMXY_n01_MTH-037_r2
        81.3%
        38%
        28.6
        HNTFHDMXY_n01_MTH-038_r2
        70.7%
        40%
        27.1
        HNTFHDMXY_n01_MTH-039_r2
        70.9%
        40%
        21.8
        HNTFHDMXY_n01_MTH-040_r2
        73.3%
        41%
        20.7
        HNTFHDMXY_n01_undetermined
        75.3%
        42%
        353.5
        HNTFHDMXY_n02_KHC-001_r2
        60.1%
        42%
        28.5
        HNTFHDMXY_n02_KHC-002_r2
        30.2%
        50%
        15.2
        HNTFHDMXY_n02_KHC-003_r2
        66.4%
        41%
        14.2
        HNTFHDMXY_n02_KHC-004_r2
        64.1%
        42%
        23.4
        HNTFHDMXY_n02_KHC-005_r2
        69.8%
        41%
        19.9
        HNTFHDMXY_n02_KHC-006_r2
        24.4%
        48%
        7.7
        HNTFHDMXY_n02_KHC-007_r2
        40.6%
        51%
        18.8
        HNTFHDMXY_n02_KHC-008_r2
        84.0%
        39%
        27.8
        HNTFHDMXY_n02_KHC-009_r2
        74.9%
        40%
        18.9
        HNTFHDMXY_n02_KHC-010_r2
        43.3%
        54%
        18.7
        HNTFHDMXY_n02_KHC-011_r2
        34.4%
        48%
        18.3
        HNTFHDMXY_n02_KHC-012_r2
        52.2%
        63%
        13.8
        HNTFHDMXY_n02_KHC-013_r2
        27.2%
        40%
        17.7
        HNTFHDMXY_n02_KHC-014_r2
        47.2%
        52%
        19.8
        HNTFHDMXY_n02_KHC-015_r2
        75.8%
        40%
        28.6
        HNTFHDMXY_n02_KHC-016_r2
        0.0%
        31%
        0.0
        HNTFHDMXY_n02_MHC-001_r2
        66.0%
        42%
        18.2
        HNTFHDMXY_n02_MHC-002_r2
        28.7%
        39%
        24.1
        HNTFHDMXY_n02_MHC-003_r2
        51.3%
        43%
        19.1
        HNTFHDMXY_n02_MHC-004_r2
        75.8%
        44%
        33.9
        HNTFHDMXY_n02_MHC-005_r2
        31.5%
        46%
        28.7
        HNTFHDMXY_n02_MHC-006_r2
        52.5%
        52%
        26.6
        HNTFHDMXY_n02_MHC-007_r2
        29.2%
        50%
        15.7
        HNTFHDMXY_n02_MHC-008_r2
        44.3%
        52%
        25.6
        HNTFHDMXY_n02_MHC-009_r2
        68.2%
        40%
        19.4
        HNTFHDMXY_n02_MHC-010_r2
        36.8%
        46%
        18.2
        HNTFHDMXY_n02_MHC-011_r2
        78.7%
        39%
        33.2
        HNTFHDMXY_n02_MHC-012_r2
        62.9%
        41%
        19.1
        HNTFHDMXY_n02_MHC-013_r2
        36.9%
        46%
        31.2
        HNTFHDMXY_n02_MHC-014_r2
        56.9%
        45%
        14.7
        HNTFHDMXY_n02_MHC-015_r2
        28.3%
        40%
        12.9
        HNTFHDMXY_n02_MHC-016_r2
        68.6%
        41%
        22.3
        HNTFHDMXY_n02_MHC-017_r2
        29.5%
        40%
        13.0
        HNTFHDMXY_n02_MHC-018_r2
        33.7%
        40%
        12.9
        HNTFHDMXY_n02_MHC-019_r2
        55.0%
        45%
        24.7
        HNTFHDMXY_n02_MHC-020_r2
        78.8%
        40%
        42.1
        HNTFHDMXY_n02_MHC-021_r2
        72.5%
        41%
        24.1
        HNTFHDMXY_n02_MHC-022_r2
        49.4%
        39%
        12.8
        HNTFHDMXY_n02_MHC-023_r2
        83.4%
        40%
        43.5
        HNTFHDMXY_n02_MHC-024_r2
        73.0%
        41%
        20.1
        HNTFHDMXY_n02_MHC-025_r2
        28.6%
        50%
        13.0
        HNTFHDMXY_n02_MHC-026_r2
        39.5%
        48%
        31.9
        HNTFHDMXY_n02_MHC-027_r2
        50.4%
        50%
        34.2
        HNTFHDMXY_n02_MHC-028_r2
        76.0%
        41%
        23.5
        HNTFHDMXY_n02_MHC-029_r2
        37.4%
        49%
        19.4
        HNTFHDMXY_n02_MHC-030_r2
        43.2%
        50%
        24.7
        HNTFHDMXY_n02_MHC-031_r2
        72.0%
        41%
        38.2
        HNTFHDMXY_n02_MHC-032_r2
        60.1%
        53%
        35.2
        HNTFHDMXY_n02_MHC-033_r2
        38.7%
        50%
        16.6
        HNTFHDMXY_n02_MHC-034_r2
        61.0%
        43%
        27.1
        HNTFHDMXY_n02_MHC-035_r2
        43.1%
        48%
        55.1
        HNTFHDMXY_n02_MHC-036_r2
        35.8%
        50%
        20.9
        HNTFHDMXY_n02_MHC-037_r2
        38.3%
        47%
        15.6
        HNTFHDMXY_n02_MHC-038_r2
        52.2%
        53%
        30.0
        HNTFHDMXY_n02_MHC-039_r2
        50.9%
        52%
        22.3
        HNTFHDMXY_n02_MHC-040_r2
        36.0%
        48%
        23.9
        HNTFHDMXY_n02_MHC-041_r2
        34.9%
        47%
        24.9
        HNTFHDMXY_n02_MHC-042_r2
        59.9%
        44%
        23.5
        HNTFHDMXY_n02_MHC-043_r2
        28.6%
        47%
        18.5
        HNTFHDMXY_n02_MHC-044_r2
        45.7%
        47%
        21.9
        HNTFHDMXY_n02_MHC-045_r2
        77.1%
        40%
        16.7
        HNTFHDMXY_n02_MHC-046_r2
        73.0%
        39%
        20.5
        HNTFHDMXY_n02_MHC-047_r2
        52.7%
        47%
        41.0
        HNTFHDMXY_n02_MHC-048_r2
        84.4%
        39%
        19.9
        HNTFHDMXY_n02_MHC-049_r2
        41.3%
        50%
        36.5
        HNTFHDMXY_n02_MHC-050_r2
        25.1%
        45%
        19.1
        HNTFHDMXY_n02_MHC-051_r2
        26.3%
        48%
        19.6
        HNTFHDMXY_n02_MHC-052_r2
        40.3%
        50%
        27.6
        HNTFHDMXY_n02_MHC-053_r2
        31.6%
        49%
        23.3
        HNTFHDMXY_n02_MHC-054_r2
        42.6%
        45%
        18.1
        HNTFHDMXY_n02_MHC-055_r2
        88.3%
        52%
        55.0
        HNTFHDMXY_n02_MHC-056_r2
        79.3%
        40%
        22.0
        HNTFHDMXY_n02_MHC-057_r2
        71.2%
        41%
        14.5
        HNTFHDMXY_n02_MHC-058_r2
        56.6%
        44%
        18.3
        HNTFHDMXY_n02_MHC-059_r2
        37.2%
        49%
        20.5
        HNTFHDMXY_n02_MHC-060_r2
        33.8%
        49%
        22.3
        HNTFHDMXY_n02_MHC-061_r2
        64.9%
        47%
        22.3
        HNTFHDMXY_n02_MHC-062_r2
        67.8%
        43%
        18.6
        HNTFHDMXY_n02_MHC-063_r2
        38.1%
        49%
        33.2
        HNTFHDMXY_n02_MHC-064_r2
        36.8%
        48%
        29.5
        HNTFHDMXY_n02_MHC-065_r2
        30.1%
        44%
        22.4
        HNTFHDMXY_n02_MHC-066_r2
        31.8%
        47%
        30.4
        HNTFHDMXY_n02_MHC-067_r2
        53.1%
        45%
        15.0
        HNTFHDMXY_n02_MHC-068_r2
        66.5%
        43%
        26.8
        HNTFHDMXY_n02_MHC-069_r2
        58.5%
        44%
        24.1
        HNTFHDMXY_n02_MHC-070_r2
        75.8%
        41%
        58.6
        HNTFHDMXY_n02_MHC-071_r2
        78.8%
        42%
        35.4
        HNTFHDMXY_n02_MHC-072_r2
        37.5%
        50%
        23.9
        HNTFHDMXY_n02_MHC-073_r2
        66.7%
        43%
        26.9
        HNTFHDMXY_n02_MHC-074_r2
        33.7%
        48%
        20.5
        HNTFHDMXY_n02_MHC-075_r2
        24.4%
        47%
        20.1
        HNTFHDMXY_n02_MHC-076_r2
        79.7%
        41%
        32.7
        HNTFHDMXY_n02_MHC-077_r2
        29.4%
        45%
        20.5
        HNTFHDMXY_n02_MHC-078_r2
        67.1%
        43%
        35.0
        HNTFHDMXY_n02_MHC-079_r2
        39.5%
        50%
        20.0
        HNTFHDMXY_n02_MHC-080_r2
        46.0%
        43%
        25.3
        HNTFHDMXY_n02_MHC-081_r2
        59.8%
        51%
        28.4
        HNTFHDMXY_n02_MHC-082_r2
        78.5%
        39%
        25.6
        HNTFHDMXY_n02_MHC-083_r2
        88.7%
        55%
        45.7
        HNTFHDMXY_n02_MHC-084_r2
        44.3%
        50%
        24.6
        HNTFHDMXY_n02_MHC-085_r2
        73.8%
        41%
        33.9
        HNTFHDMXY_n02_MHC-086_r2
        83.2%
        43%
        22.6
        HNTFHDMXY_n02_MHC-087_r2
        78.8%
        41%
        52.7
        HNTFHDMXY_n02_MHC-088_r2
        63.4%
        46%
        17.2
        HNTFHDMXY_n02_MHC-089_r2
        32.4%
        42%
        17.5
        HNTFHDMXY_n02_MHC-090_r2
        65.7%
        39%
        33.2
        HNTFHDMXY_n02_MHC-091_r2
        36.2%
        43%
        22.8
        HNTFHDMXY_n02_MHC-092_r2
        67.8%
        38%
        23.2
        HNTFHDMXY_n02_MTH-001_r2
        30.1%
        48%
        17.4
        HNTFHDMXY_n02_MTH-002_r2
        42.5%
        51%
        26.1
        HNTFHDMXY_n02_MTH-003_r2
        52.6%
        42%
        16.9
        HNTFHDMXY_n02_MTH-004_r2
        46.1%
        48%
        29.3
        HNTFHDMXY_n02_MTH-005_r2
        85.3%
        37%
        36.9
        HNTFHDMXY_n02_MTH-006_r2
        77.3%
        40%
        35.3
        HNTFHDMXY_n02_MTH-007_r2
        35.3%
        48%
        23.9
        HNTFHDMXY_n02_MTH-008_r2
        41.6%
        47%
        48.9
        HNTFHDMXY_n02_MTH-009_r2
        56.9%
        43%
        27.6
        HNTFHDMXY_n02_MTH-010_r2
        40.8%
        48%
        38.3
        HNTFHDMXY_n02_MTH-011_r2
        49.9%
        40%
        15.1
        HNTFHDMXY_n02_MTH-012_r2
        41.9%
        50%
        22.4
        HNTFHDMXY_n02_MTH-013_r2
        42.9%
        47%
        47.7
        HNTFHDMXY_n02_MTH-014_r2
        65.6%
        42%
        22.4
        HNTFHDMXY_n02_MTH-015_r2
        35.9%
        47%
        40.9
        HNTFHDMXY_n02_MTH-016_r2
        42.8%
        40%
        16.5
        HNTFHDMXY_n02_MTH-017_r2
        38.3%
        48%
        32.9
        HNTFHDMXY_n02_MTH-018_r2
        35.3%
        45%
        27.1
        HNTFHDMXY_n02_MTH-019_r2
        69.5%
        44%
        43.9
        HNTFHDMXY_n02_MTH-020_r2
        31.0%
        41%
        13.9
        HNTFHDMXY_n02_MTH-021_r2
        79.8%
        40%
        27.8
        HNTFHDMXY_n02_MTH-022_r2
        78.5%
        37%
        27.1
        HNTFHDMXY_n02_MTH-023_r2
        37.0%
        47%
        39.7
        HNTFHDMXY_n02_MTH-024_r2
        35.8%
        47%
        22.9
        HNTFHDMXY_n02_MTH-025_r2
        62.9%
        39%
        33.7
        HNTFHDMXY_n02_MTH-026_r2
        43.0%
        47%
        30.7
        HNTFHDMXY_n02_MTH-027_r2
        28.5%
        44%
        19.5
        HNTFHDMXY_n02_MTH-028_r2
        74.3%
        38%
        36.6
        HNTFHDMXY_n02_MTH-029_r2
        78.2%
        58%
        36.3
        HNTFHDMXY_n02_MTH-030_r2
        34.4%
        48%
        21.8
        HNTFHDMXY_n02_MTH-031_r2
        79.6%
        38%
        22.6
        HNTFHDMXY_n02_MTH-032_r2
        27.7%
        46%
        20.8
        HNTFHDMXY_n02_MTH-033_r2
        84.6%
        38%
        19.6
        HNTFHDMXY_n02_MTH-034_r2
        72.3%
        38%
        26.5
        HNTFHDMXY_n02_MTH-035_r2
        39.7%
        47%
        37.4
        HNTFHDMXY_n02_MTH-036_r2
        37.1%
        47%
        34.3
        HNTFHDMXY_n02_MTH-037_r2
        77.7%
        37%
        28.6
        HNTFHDMXY_n02_MTH-038_r2
        67.2%
        39%
        27.1
        HNTFHDMXY_n02_MTH-039_r2
        67.6%
        39%
        21.8
        HNTFHDMXY_n02_MTH-040_r2
        69.3%
        40%
        20.7
        HNTFHDMXY_n02_undetermined
        70.3%
        42%
        353.5

        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 149/149 rows and 2/2 columns.
        LibraryTotal Read CountPortion (%)
        undetermined_library
        353516703
        8.5
        KHC-003_r2
        14189251
        0.3
        KHC-004_r2
        23408886
        0.6
        KHC-005_r2
        19867570
        0.5
        KHC-006_r2
        7703869
        0.2
        KHC-008_r2
        27820450
        0.7
        KHC-009_r2
        18910431
        0.5
        KHC-015_r2
        28607532
        0.7
        MHC-001_r2
        18171620
        0.4
        MHC-009_r2
        19369120
        0.5
        MHC-010_r2
        18223747
        0.4
        MHC-011_r2
        33166925
        0.8
        MHC-012_r2
        19083590
        0.5
        MHC-014_r2
        14725409
        0.4
        MHC-016_r2
        22328503
        0.5
        MHC-019_r2
        24684432
        0.6
        MHC-021_r2
        24055920
        0.6
        MHC-024_r2
        20083710
        0.5
        MHC-028_r2
        23543595
        0.6
        MHC-034_r2
        27099399
        0.7
        MHC-037_r2
        15560664
        0.4
        MHC-042_r2
        23537369
        0.6
        MHC-044_r2
        21919752
        0.5
        MHC-056_r2
        22001847
        0.5
        MHC-057_r2
        14543866
        0.4
        MHC-061_r2
        22340421
        0.5
        MHC-062_r2
        18614269
        0.4
        MHC-067_r2
        14958338
        0.4
        MHC-068_r2
        26845743
        0.6
        MHC-070_r2
        58557447
        1.4
        MHC-073_r2
        26868970
        0.6
        MHC-076_r2
        32710862
        0.8
        MHC-078_r2
        35022086
        0.8
        MHC-079_r2
        20010572
        0.5
        MHC-084_r2
        24646034
        0.6
        MHC-085_r2
        33912939
        0.8
        MHC-087_r2
        52651320
        1.3
        MHC-089_r2
        17466016
        0.4
        MHC-090_r2
        33167838
        0.8
        MHC-092_r2
        23168990
        0.6
        MTH-003_r2
        16865604
        0.4
        MTH-005_r2
        36856290
        0.9
        MTH-011_r2
        15079125
        0.4
        MTH-016_r2
        16463633
        0.4
        MTH-020_r2
        13941787
        0.3
        MTH-022_r2
        27092814
        0.7
        MTH-025_r2
        33692085
        0.8
        MTH-028_r2
        36646270
        0.9
        MTH-033_r2
        19633483
        0.5
        MTH-034_r2
        26453943
        0.6
        MTH-037_r2
        28638950
        0.7
        MTH-038_r2
        27146580
        0.7
        MTH-039_r2
        21767679
        0.5
        MTH-040_r2
        20709110
        0.5
        KHC-013_r2
        17664937
        0.4
        MHC-002_r2
        24097354
        0.6
        MHC-015_r2
        12926436
        0.3
        MHC-017_r2
        12963182
        0.3
        MHC-018_r2
        12893416
        0.3
        MHC-022_r2
        12770447
        0.3
        MHC-043_r2
        18517634
        0.4
        MTH-006_r2
        35322487
        0.9
        MTH-012_r2
        22413418
        0.5
        MHC-031_r2
        38197001
        0.9
        KHC-001_r2
        28476889
        0.7
        MHC-023_r2
        43514494
        1.1
        MHC-045_r2
        16726944
        0.4
        MHC-048_r2
        19897957
        0.5
        MHC-071_r2
        35375318
        0.9
        MHC-082_r2
        25636628
        0.6
        MHC-086_r2
        22649403
        0.5
        MHC-088_r2
        17226108
        0.4
        MTH-009_r2
        27625023
        0.7
        MTH-014_r2
        22425060
        0.5
        MTH-021_r2
        27802123
        0.7
        MTH-031_r2
        22621981
        0.5
        KHC-011_r2
        18269211
        0.4
        MHC-039_r2
        22272991
        0.5
        MHC-046_r2
        20462167
        0.5
        MHC-050_r2
        19072928
        0.5
        MHC-054_r2
        18128433
        0.4
        MHC-065_r2
        22360777
        0.5
        MHC-077_r2
        20527877
        0.5
        MHC-080_r2
        25297000
        0.6
        MHC-091_r2
        22813000
        0.6
        MTH-004_r2
        29283526
        0.7
        MTH-018_r2
        27106360
        0.7
        MTH-019_r2
        43856866
        1.1
        MTH-024_r2
        22864489
        0.6
        MTH-027_r2
        19472428
        0.5
        MTH-029_r2
        36301056
        0.9
        MHC-047_r2
        41044333
        1.0
        MHC-055_r2
        55008920
        1.3
        MHC-058_r2
        18305037
        0.4
        MHC-069_r2
        24051999
        0.6
        MHC-081_r2
        28365736
        0.7
        MHC-083_r2
        45667861
        1.1
        MHC-003_r2
        19138755
        0.5
        MHC-004_r2
        33915902
        0.8
        MHC-006_r2
        26556153
        0.6
        MHC-007_r2
        15728613
        0.4
        MHC-020_r2
        42115310
        1.0
        MHC-029_r2
        19386038
        0.5
        MHC-036_r2
        20912869
        0.5
        MHC-072_r2
        23910762
        0.6
        KHC-002_r2
        15167295
        0.4
        KHC-007_r2
        18774910
        0.5
        KHC-010_r2
        18668043
        0.5
        KHC-012_r2
        13819204
        0.3
        KHC-014_r2
        19809814
        0.5
        KHC-016_r2
        14351
        0.0
        MHC-008_r2
        25556808
        0.6
        MHC-025_r2
        12982143
        0.3
        MHC-026_r2
        31897112
        0.8
        MHC-027_r2
        34205018
        0.8
        MHC-030_r2
        24659868
        0.6
        MHC-032_r2
        35216790
        0.8
        MHC-033_r2
        16611955
        0.4
        MHC-035_r2
        55104818
        1.3
        MHC-038_r2
        29963269
        0.7
        MHC-040_r2
        23919457
        0.6
        MHC-049_r2
        36535140
        0.9
        MHC-051_r2
        19606797
        0.5
        MHC-052_r2
        27580683
        0.7
        MHC-053_r2
        23281773
        0.6
        MHC-059_r2
        20497166
        0.5
        MHC-060_r2
        22266650
        0.5
        MHC-063_r2
        33242206
        0.8
        MHC-064_r2
        29484041
        0.7
        MHC-066_r2
        30421401
        0.7
        MHC-074_r2
        20519584
        0.5
        MHC-075_r2
        20055935
        0.5
        MTH-001_r2
        17382015
        0.4
        MTH-002_r2
        26113604
        0.6
        MTH-007_r2
        23908464
        0.6
        MTH-008_r2
        48945024
        1.2
        MTH-010_r2
        38264897
        0.9
        MTH-013_r2
        47724382
        1.2
        MTH-015_r2
        40863421
        1.0
        MTH-017_r2
        32871349
        0.8
        MTH-026_r2
        30745764
        0.7
        MTH-030_r2
        21763158
        0.5
        MTH-032_r2
        20780773
        0.5
        MTH-035_r2
        37394344
        0.9
        MTH-036_r2
        34313674
        0.8
        MHC-005_r2
        28660259
        0.7
        MHC-013_r2
        31209426
        0.8
        MHC-041_r2
        24868075
        0.6
        MTH-023_r2
        39728834
        1.0

        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. If your libraries are dual indexed, the two indicies are concatenated.

        Showing 20/20 rows and 2/2 columns.
        Barcode Sequence(s)CountFrequency (%)
        GGGGGGGGAGATCTCG
        214818676.0
        60.8
        GGGGGGGGCGATCTCG
        1832090.0
        0.5
        TACCGGAACCGGCCAT
        370676.0
        0.1
        GGGGGGGGAGTTCTCG
        322570.0
        0.1
        GGGGGGGGNGATCTCG
        306460.0
        0.1
        GGGNGGGGAGATCTCG
        249447.0
        0.1
        TCGACGAACCGCAGCT
        209031.0
        0.1
        GGGGGGGGAGATATCG
        188908.0
        0.1
        GGGGGGGGATATCTCG
        181201.0
        0.1
        AAAAAAAAAAAAAAAA
        154139.0
        0.0
        GGGGGGGGTGAGTCCT
        144715.0
        0.0
        GGGGGGGGGGATCTCG
        140326.0
        0.0
        ACTGTGTGGGGGGTCA
        136631.0
        0.0
        GGGGGGGGGGGGGGGG
        132751.0
        0.0
        GGGGGGGGAGCTCTCG
        131938.0
        0.0
        GGGGGGGGTGATCTCG
        130808.0
        0.0
        CTGGGGAGGAGTTGTC
        117101.0
        0.0
        GGGGGGGGAGATCTAG
        112075.0
        0.0
        GGGGGGGGCACTGTTG
        108905.0
        0.0
        GGGGGGGGCGTTGAGT
        101843.0
        0.0

        Run Statistics

        Showing 1/1 rows and 4/4 columns.
        Number of LanesTotal # of Single-End ReadsTotal # PF Reads% Undetermined% PhiX Aligned
        2.0
        5761400832
        4143394689
        8.5
        5.2

        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 (101bp).

        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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