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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 1.11

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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 2024-07-19, 16:46 based on data in:


        General Statistics

        Showing 240/240 rows and 14/21 columns.
        Sample NameM Reads Mapped% AssignedM Assigned% rRNA% mRNAInsert Size% AlignedM Aligned% DuplicationGC content% PF% Adapter% GCM Seqs
        G227_M01_CKDL240023967-1A_22NF25LT3_L5_1
        15.6%
        53.1%
        98.5%
        73.8%
        54%
        25.5
        G227_M01_CKDL240023967-1A_22NF25LT3_L5_2
        53%
        25.5
        G227_M01_G227_M01
        60.8%
        15.5
        G227_M01_primary_unique
        26.3%
        16.1%
        93 bp
        G227_M01_sorted
        36.2%
        5.6
        G227_M01_statistics_for_all_accepted_reads
        63.3
        G227_M01_statistics_for_primary_reads
        39.7
        G227_M01_statistics_for_primary_unique_reads
        29.8
        G227_M02_CKDL240023967-1A_22NF25LT3_L5_1
        36.4%
        53.5%
        98.8%
        32.9%
        53%
        18.7
        G227_M02_CKDL240023967-1A_22NF25LT3_L5_2
        53%
        18.7
        G227_M02_G227_M02
        82.2%
        15.4
        G227_M02_primary_unique
        39.4%
        14.3%
        172 bp
        G227_M02_sorted
        59.9%
        9.2
        G227_M02_statistics_for_all_accepted_reads
        40.4
        G227_M02_statistics_for_primary_reads
        33.8
        G227_M02_statistics_for_primary_unique_reads
        29.9
        G227_M03_CKDL240023967-1A_22NF25LT3_L5_1
        31.6%
        55.0%
        98.7%
        59.4%
        55%
        27.2
        G227_M03_CKDL240023967-1A_22NF25LT3_L5_2
        54%
        27.2
        G227_M03_G227_M03
        71.9%
        19.6
        G227_M03_primary_unique
        47.4%
        14.6%
        126 bp
        G227_M03_sorted
        51.0%
        10.0
        G227_M03_statistics_for_all_accepted_reads
        62.1
        G227_M03_statistics_for_primary_reads
        46.2
        G227_M03_statistics_for_primary_unique_reads
        37.8
        G227_M04_CKDL240023967-1A_22NF25LT3_L5_1
        18.2%
        53.9%
        98.3%
        70.5%
        54%
        25.7
        G227_M04_CKDL240023967-1A_22NF25LT3_L5_2
        54%
        25.7
        G227_M04_G227_M04
        67.9%
        17.5
        G227_M04_primary_unique
        35.4%
        13.1%
        101 bp
        G227_M04_sorted
        47.8%
        8.4
        G227_M04_statistics_for_all_accepted_reads
        64.3
        G227_M04_statistics_for_primary_reads
        43.2
        G227_M04_statistics_for_primary_unique_reads
        33.5
        G227_M05_CKDL240023967-1A_22NF25LT3_L5_1
        15.8%
        52.1%
        98.3%
        78.0%
        54%
        24.7
        G227_M05_CKDL240023967-1A_22NF25LT3_L5_2
        52%
        24.7
        G227_M05_G227_M05
        62.8%
        15.5
        G227_M05_primary_unique
        31.3%
        12.8%
        92 bp
        G227_M05_sorted
        42.3%
        6.6
        G227_M05_statistics_for_all_accepted_reads
        56.9
        G227_M05_statistics_for_primary_reads
        38.3
        G227_M05_statistics_for_primary_unique_reads
        29.7
        G227_M06_CKDL240023967-1A_22NF25LT3_L5_1
        29.6%
        58.6%
        98.5%
        68.3%
        57%
        26.9
        G227_M06_CKDL240023967-1A_22NF25LT3_L5_2
        57%
        26.9
        G227_M06_G227_M06
        72.0%
        19.4
        G227_M06_primary_unique
        46.2%
        19.0%
        104 bp
        G227_M06_sorted
        45.8%
        8.9
        G227_M06_statistics_for_all_accepted_reads
        64.8
        G227_M06_statistics_for_primary_reads
        46.4
        G227_M06_statistics_for_primary_unique_reads
        37.3
        G227_M07_CKDL240023967-1A_22NF25LT3_L5_1
        25.6%
        51.0%
        98.7%
        58.7%
        51%
        23.1
        G227_M07_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        23.1
        G227_M07_G227_M07
        66.6%
        15.4
        G227_M07_primary_unique
        35.9%
        12.0%
        129 bp
        G227_M07_sorted
        49.5%
        7.6
        G227_M07_statistics_for_all_accepted_reads
        50.0
        G227_M07_statistics_for_primary_reads
        36.4
        G227_M07_statistics_for_primary_unique_reads
        29.6
        G227_M08_CKDL240023967-1A_22NF25LT3_L5_1
        29.5%
        51.0%
        98.7%
        53.9%
        51%
        21.3
        G227_M08_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        21.3
        G227_M08_G227_M08
        64.4%
        13.7
        G227_M08_primary_unique
        41.0%
        12.9%
        145 bp
        G227_M08_sorted
        50.5%
        6.9
        G227_M08_statistics_for_all_accepted_reads
        44.7
        G227_M08_statistics_for_primary_reads
        32.5
        G227_M08_statistics_for_primary_unique_reads
        26.6
        G227_M09_CKDL240023967-1A_22NF25LT3_L5_1
        40.6%
        59.5%
        98.4%
        35.0%
        58%
        20.6
        G227_M09_CKDL240023967-1A_22NF25LT3_L5_2
        59%
        20.6
        G227_M09_G227_M09
        81.8%
        16.9
        G227_M09_primary_unique
        45.5%
        20.6%
        152 bp
        G227_M09_sorted
        45.5%
        7.7
        G227_M09_statistics_for_all_accepted_reads
        44.8
        G227_M09_statistics_for_primary_reads
        37.1
        G227_M09_statistics_for_primary_unique_reads
        32.4
        G227_M10_CKDL240023967-1A_22NF25LT3_L5_1
        27.2%
        55.8%
        98.2%
        58.1%
        56%
        21.1
        G227_M10_CKDL240023967-1A_22NF25LT3_L5_2
        55%
        21.1
        G227_M10_G227_M10
        73.9%
        15.6
        G227_M10_primary_unique
        39.2%
        15.9%
        121 bp
        G227_M10_sorted
        44.4%
        6.9
        G227_M10_statistics_for_all_accepted_reads
        47.5
        G227_M10_statistics_for_primary_reads
        36.0
        G227_M10_statistics_for_primary_unique_reads
        30.0
        G227_M11_CKDL240023967-1A_22NF25LT3_L5_1
        27.7%
        59.5%
        98.4%
        53.6%
        58%
        18.5
        G227_M11_CKDL240023967-1A_22NF25LT3_L5_2
        59%
        18.5
        G227_M11_G227_M11
        67.9%
        12.6
        G227_M11_primary_unique
        32.9%
        17.8%
        125 bp
        G227_M11_sorted
        51.3%
        6.4
        G227_M11_statistics_for_all_accepted_reads
        48.4
        G227_M11_statistics_for_primary_reads
        31.5
        G227_M11_statistics_for_primary_unique_reads
        24.1
        G227_M12_CKDL240023967-1A_22NF25LT3_L5_1
        36.3%
        57.6%
        98.8%
        52.8%
        57%
        21.0
        G227_M12_CKDL240023967-1A_22NF25LT3_L5_2
        57%
        21.0
        G227_M12_G227_M12
        80.8%
        17.0
        G227_M12_primary_unique
        41.1%
        18.3%
        133 bp
        G227_M12_sorted
        54.8%
        9.3
        G227_M12_statistics_for_all_accepted_reads
        47.7
        G227_M12_statistics_for_primary_reads
        38.5
        G227_M12_statistics_for_primary_unique_reads
        32.9
        G227_M13_CKDL240023967-1A_22NF25LT3_L5_1
        17.4%
        52.8%
        98.5%
        70.4%
        54%
        24.7
        G227_M13_CKDL240023967-1A_22NF25LT3_L5_2
        53%
        24.7
        G227_M13_G227_M13
        72.2%
        17.8
        G227_M13_primary_unique
        22.8%
        15.7%
        105 bp
        G227_M13_sorted
        46.7%
        8.3
        G227_M13_statistics_for_all_accepted_reads
        58.7
        G227_M13_statistics_for_primary_reads
        42.2
        G227_M13_statistics_for_primary_unique_reads
        34.3
        G227_M14_CKDL240023967-1A_22NF25LT3_L5_1
        26.4%
        54.9%
        98.1%
        54.1%
        54%
        20.0
        G227_M14_CKDL240023967-1A_22NF25LT3_L5_2
        54%
        20.0
        G227_M14_G227_M14
        76.8%
        15.3
        G227_M14_primary_unique
        30.8%
        14.0%
        132 bp
        G227_M14_sorted
        44.7%
        6.8
        G227_M14_statistics_for_all_accepted_reads
        43.9
        G227_M14_statistics_for_primary_reads
        34.7
        G227_M14_statistics_for_primary_unique_reads
        29.4
        G227_M15_CKDL240023967-1A_22NF25LT3_L5_1
        18.2%
        51.1%
        98.4%
        65.1%
        51%
        27.7
        G227_M15_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        27.7
        G227_M15_G227_M15
        71.2%
        19.7
        G227_M15_primary_unique
        25.2%
        13.7%
        121 bp
        G227_M15_sorted
        49.7%
        9.8
        G227_M15_statistics_for_all_accepted_reads
        61.5
        G227_M15_statistics_for_primary_reads
        45.8
        G227_M15_statistics_for_primary_unique_reads
        37.8
        G227_M16_CKDL240023967-1A_22NF25LT3_L5_1
        35.5%
        57.6%
        98.4%
        47.8%
        57%
        19.4
        G227_M16_CKDL240023967-1A_22NF25LT3_L5_2
        57%
        19.4
        G227_M16_G227_M16
        81.8%
        15.9
        G227_M16_primary_unique
        34.6%
        22.4%
        138 bp
        G227_M16_sorted
        51.4%
        8.2
        G227_M16_statistics_for_all_accepted_reads
        43.0
        G227_M16_statistics_for_primary_reads
        35.3
        G227_M16_statistics_for_primary_unique_reads
        30.6
        G227_M17_CKDL240023967-1A_22NF25LT3_L5_1
        20.2%
        52.4%
        98.3%
        63.9%
        53%
        27.8
        G227_M17_CKDL240023967-1A_22NF25LT3_L5_2
        53%
        27.8
        G227_M17_G227_M17
        69.0%
        19.2
        G227_M17_primary_unique
        22.3%
        15.1%
        119 bp
        G227_M17_sorted
        42.5%
        8.1
        G227_M17_statistics_for_all_accepted_reads
        63.8
        G227_M17_statistics_for_primary_reads
        45.5
        G227_M17_statistics_for_primary_unique_reads
        36.9
        G227_M18_CKDL240023967-1A_22NF25LT3_L5_1
        24.6%
        50.3%
        98.2%
        49.6%
        50%
        23.9
        G227_M18_CKDL240023967-1A_22NF25LT3_L5_2
        50%
        23.9
        G227_M18_G227_M18
        71.0%
        17.0
        G227_M18_primary_unique
        27.6%
        11.0%
        143 bp
        G227_M18_sorted
        42.1%
        7.2
        G227_M18_statistics_for_all_accepted_reads
        50.3
        G227_M18_statistics_for_primary_reads
        38.8
        G227_M18_statistics_for_primary_unique_reads
        32.8
        G227_M19_CKDL240023967-1A_22NF25LT3_L5_1
        23.1%
        54.3%
        98.4%
        64.7%
        54%
        29.2
        G227_M19_CKDL240023967-1A_22NF25LT3_L5_2
        54%
        29.2
        G227_M19_G227_M19
        73.9%
        21.6
        G227_M19_primary_unique
        31.1%
        15.8%
        115 bp
        G227_M19_sorted
        47.1%
        10.2
        G227_M19_statistics_for_all_accepted_reads
        66.5
        G227_M19_statistics_for_primary_reads
        50.2
        G227_M19_statistics_for_primary_unique_reads
        41.5
        G227_M20_CKDL240023967-1A_22NF25LT3_L5_1
        16.4%
        49.3%
        98.4%
        56.4%
        50%
        24.7
        G227_M20_CKDL240023967-1A_22NF25LT3_L5_2
        50%
        24.7
        G227_M20_G227_M20
        71.7%
        17.7
        G227_M20_primary_unique
        17.0%
        9.7%
        140 bp
        G227_M20_sorted
        45.8%
        8.1
        G227_M20_statistics_for_all_accepted_reads
        53.6
        G227_M20_statistics_for_primary_reads
        40.5
        G227_M20_statistics_for_primary_unique_reads
        34.0
        G227_M21_CKDL240023967-1A_22NF25LT3_L5_1
        20.0%
        50.9%
        98.4%
        63.5%
        52%
        26.2
        G227_M21_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        26.2
        G227_M21_G227_M21
        66.9%
        17.5
        G227_M21_primary_unique
        24.7%
        12.6%
        125 bp
        G227_M21_sorted
        44.2%
        7.7
        G227_M21_statistics_for_all_accepted_reads
        60.1
        G227_M21_statistics_for_primary_reads
        42.0
        G227_M21_statistics_for_primary_unique_reads
        33.7
        G227_M22_CKDL240023967-1A_22NF25LT3_L5_1
        18.1%
        50.8%
        98.5%
        60.7%
        52%
        24.6
        G227_M22_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        24.6
        G227_M22_G227_M22
        70.6%
        17.4
        G227_M22_primary_unique
        21.3%
        13.3%
        131 bp
        G227_M22_sorted
        52.3%
        9.1
        G227_M22_statistics_for_all_accepted_reads
        58.0
        G227_M22_statistics_for_primary_reads
        41.3
        G227_M22_statistics_for_primary_unique_reads
        33.6
        G227_M23_CKDL240023967-1A_22NF25LT3_L5_1
        19.3%
        55.1%
        98.3%
        72.7%
        55%
        28.3
        G227_M23_CKDL240023967-1A_22NF25LT3_L5_2
        55%
        28.3
        G227_M23_G227_M23
        65.0%
        18.4
        G227_M23_primary_unique
        33.6%
        14.8%
        95 bp
        G227_M23_sorted
        37.1%
        6.8
        G227_M23_statistics_for_all_accepted_reads
        71.9
        G227_M23_statistics_for_primary_reads
        46.6
        G227_M23_statistics_for_primary_unique_reads
        35.3
        G227_M24_CKDL240023967-1A_22NF25LT3_L5_1
        6.0%
        47.2%
        98.4%
        82.8%
        53%
        29.8
        G227_M24_CKDL240023967-1A_22NF25LT3_L5_2
        50%
        29.8
        G227_M24_G227_M24
        56.2%
        16.8
        G227_M24_primary_unique
        8.2%
        5.8%
        79 bp
        G227_M24_sorted
        37.0%
        6.2
        G227_M24_statistics_for_all_accepted_reads
        73.5
        G227_M24_statistics_for_primary_reads
        43.9
        G227_M24_statistics_for_primary_unique_reads
        32.0
        G227_M25_CKDL240023967-1A_22NF25LT3_L5_1
        10.9%
        43.6%
        98.0%
        50.4%
        44%
        26.2
        G227_M25_CKDL240023967-1A_22NF25LT3_L5_2
        45%
        26.2
        G227_M25_G227_M25
        58.5%
        15.4
        G227_M25_primary_unique
        4.3%
        3.8%
        149 bp
        G227_M25_sorted
        34.7%
        5.3
        G227_M25_statistics_for_all_accepted_reads
        50.6
        G227_M25_statistics_for_primary_reads
        35.9
        G227_M25_statistics_for_primary_unique_reads
        29.5
        G227_M26_CKDL240023967-1A_22NF25LT3_L5_1
        10.7%
        48.4%
        97.5%
        73.6%
        51%
        22.3
        G227_M26_CKDL240023967-1A_22NF25LT3_L5_2
        49%
        22.3
        G227_M26_G227_M26
        60.5%
        13.5
        G227_M26_primary_unique
        20.2%
        7.1%
        96 bp
        G227_M26_sorted
        32.7%
        4.4
        G227_M26_statistics_for_all_accepted_reads
        51.0
        G227_M26_statistics_for_primary_reads
        33.4
        G227_M26_statistics_for_primary_unique_reads
        25.8
        G227_M27_CKDL240023967-1A_22NF25LT3_L5_1
        18.0%
        50.8%
        98.4%
        61.8%
        52%
        25.0
        G227_M27_CKDL240023967-1A_22NF25LT3_L5_2
        51%
        25.0
        G227_M27_G227_M27
        71.2%
        17.8
        G227_M27_primary_unique
        22.5%
        11.4%
        127 bp
        G227_M27_sorted
        44.9%
        8.0
        G227_M27_statistics_for_all_accepted_reads
        58.9
        G227_M27_statistics_for_primary_reads
        42.1
        G227_M27_statistics_for_primary_unique_reads
        34.2
        G227_M28_CKDL240023967-1A_22NF25LT3_L5_1
        6.5%
        48.2%
        98.0%
        79.0%
        52%
        27.5
        G227_M28_CKDL240023967-1A_22NF25LT3_L5_2
        50%
        27.5
        G227_M28_G227_M28
        64.0%
        17.6
        G227_M28_primary_unique
        9.1%
        6.8%
        86 bp
        G227_M28_sorted
        40.2%
        7.1
        G227_M28_statistics_for_all_accepted_reads
        67.9
        G227_M28_statistics_for_primary_reads
        43.9
        G227_M28_statistics_for_primary_unique_reads
        33.7
        G227_M29_CKDL240023967-1A_22NF25LT3_L5_1
        16.8%
        47.3%
        98.4%
        51.5%
        48%
        24.3
        G227_M29_CKDL240023967-1A_22NF25LT3_L5_2
        48%
        24.3
        G227_M29_G227_M29
        73.6%
        17.9
        G227_M29_primary_unique
        13.2%
        10.4%
        153 bp
        G227_M29_sorted
        53.4%
        9.5
        G227_M29_statistics_for_all_accepted_reads
        52.5
        G227_M29_statistics_for_primary_reads
        40.4
        G227_M29_statistics_for_primary_unique_reads
        34.6
        G227_M30_CKDL240023967-1A_22NF25LT3_L5_1
        4.8%
        44.3%
        98.2%
        87.5%
        52%
        28.1
        G227_M30_CKDL240023967-1A_22NF25LT3_L5_2
        48%
        28.1
        G227_M30_G227_M30
        48.0%
        13.5
        G227_M30_primary_unique
        2.4%
        2.1%
        76 bp
        G227_M30_sorted
        30.0%
        4.1
        G227_M30_statistics_for_all_accepted_reads
        67.2
        G227_M30_statistics_for_primary_reads
        37.1
        G227_M30_statistics_for_primary_unique_reads
        25.9

        RSeQC

        RSeQC package provides a number of useful modules that can comprehensively evaluate high throughput RNA-seq data.

        Infer experiment

        Infer experiment counts the percentage of reads and read pairs that match the strandedness of overlapping transcripts. It can be used to infer whether RNA-seq library preps are stranded (sense or antisense).

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        featureCounts

        Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

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        Picard

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

        Insert Size

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

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        RnaSeqMetrics Assignment

        Number of bases in primary alignments that align to regions in the reference genome.

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        RnaSeqMetrics Strand Mapping

        Number of aligned reads that map to the correct strand.

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        Gene Coverage

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        Samtools

        Samtools is a suite of programs for interacting with high-throughput sequencing data.

        Samtools Flagstat

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

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        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        fastp

        fastp An ultra-fast all-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...)

        Filtered Reads

        Filtering statistics of sampled reads.

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        Insert Sizes

        Insert size estimation of sampled reads.

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        Sequence Quality

        Average sequencing quality over each base of all reads.

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        GC Content

        Average GC content over each base of all reads.

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        N content

        Average N content over each base of all reads.

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        FastQC

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

        Sequence Counts

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

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

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

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

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

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        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.

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        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.

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        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.

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        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.

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        Sequence Length Distribution

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

        Sequence Duplication Levels

        The relative level of duplication found for every sequence.

        From the FastQC Help:

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

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

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

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

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        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.

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        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.

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        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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