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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 1.18

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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 2026-05-14, 04:27 CDT based on data in: /scratch/g/akwitek/wdemos/GSE301346


        General Statistics

        Showing 432/432 rows and 6/9 columns.
        Sample Name% Alignable, M% AlignedM Aligned% Dups% GCM Seqs
        GSM9081278
        86.3%
        GSM9081278_SRR34323341_1
        48.3%
        48%
        37.1
        GSM9081278_SRR34323341_2
        52.4%
        48%
        37.1
        GSM9081278_SRR34323342_1
        50.2%
        48%
        39.6
        GSM9081278_SRR34323342_2
        53.7%
        48%
        39.6
        GSM9081278_STAR
        88.5%
        67.9
        GSM9081279
        84.2%
        GSM9081279_SRR34323339_1
        52.4%
        48%
        49.6
        GSM9081279_SRR34323339_2
        56.6%
        48%
        49.6
        GSM9081279_SRR34323340_1
        54.5%
        48%
        52.8
        GSM9081279_SRR34323340_2
        58.2%
        48%
        52.8
        GSM9081279_STAR
        86.7%
        88.7
        GSM9081280
        86.0%
        GSM9081280_SRR34323337_1
        52.0%
        48%
        51.7
        GSM9081280_SRR34323337_2
        55.9%
        48%
        51.7
        GSM9081280_SRR34323338_1
        54.5%
        48%
        55.7
        GSM9081280_SRR34323338_2
        57.7%
        48%
        55.7
        GSM9081280_STAR
        88.0%
        94.6
        GSM9081281
        85.3%
        GSM9081281_SRR34323335_1
        51.7%
        48%
        44.2
        GSM9081281_SRR34323335_2
        55.1%
        48%
        44.2
        GSM9081281_SRR34323336_1
        49.4%
        48%
        41.7
        GSM9081281_SRR34323336_2
        53.7%
        48%
        41.7
        GSM9081281_STAR
        87.7%
        75.3
        GSM9081282
        87.6%
        GSM9081282_SRR34323333_1
        52.3%
        48%
        49.3
        GSM9081282_SRR34323333_2
        56.1%
        48%
        49.3
        GSM9081282_SRR34323334_1
        54.4%
        48%
        53.6
        GSM9081282_SRR34323334_2
        57.7%
        48%
        53.6
        GSM9081282_STAR
        89.1%
        91.7
        GSM9081283
        87.1%
        GSM9081283_SRR34323331_1
        50.9%
        48%
        42.5
        GSM9081283_SRR34323331_2
        55.1%
        48%
        42.5
        GSM9081283_SRR34323332_1
        52.9%
        48%
        45.7
        GSM9081283_SRR34323332_2
        56.4%
        48%
        45.7
        GSM9081283_STAR
        88.9%
        78.4
        GSM9081284
        86.0%
        GSM9081284_SRR34323329_1
        52.4%
        48%
        46.2
        GSM9081284_SRR34323329_2
        56.4%
        48%
        46.2
        GSM9081284_SRR34323330_1
        54.6%
        48%
        49.4
        GSM9081284_SRR34323330_2
        58.1%
        48%
        49.4
        GSM9081284_STAR
        87.5%
        83.6
        GSM9081285
        85.8%
        GSM9081285_SRR34323327_1
        50.9%
        48%
        37.8
        GSM9081285_SRR34323327_2
        54.8%
        48%
        37.8
        GSM9081285_SRR34323328_1
        53.0%
        48%
        40.9
        GSM9081285_SRR34323328_2
        56.5%
        48%
        40.9
        GSM9081285_STAR
        88.1%
        69.3
        GSM9081286
        86.1%
        GSM9081286_SRR34323325_1
        51.4%
        48%
        40.4
        GSM9081286_SRR34323325_2
        55.5%
        48%
        40.4
        GSM9081286_SRR34323326_1
        53.7%
        48%
        43.7
        GSM9081286_SRR34323326_2
        57.3%
        48%
        43.7
        GSM9081286_STAR
        87.3%
        73.4
        GSM9081287
        85.6%
        GSM9081287_SRR34323293_1
        51.2%
        48%
        44.2
        GSM9081287_SRR34323293_2
        55.7%
        48%
        44.2
        GSM9081287_SRR34323294_1
        53.4%
        48%
        46.7
        GSM9081287_SRR34323294_2
        57.1%
        48%
        46.7
        GSM9081287_STAR
        87.4%
        79.4
        GSM9081288
        84.5%
        GSM9081288_SRR34323291_1
        50.9%
        48%
        45.7
        GSM9081288_SRR34323291_2
        55.3%
        48%
        45.7
        GSM9081288_SRR34323292_1
        53.5%
        48%
        49.7
        GSM9081288_SRR34323292_2
        57.4%
        48%
        49.7
        GSM9081288_STAR
        86.7%
        82.7
        GSM9081289
        74.5%
        GSM9081289_SRR34323289_1
        51.3%
        48%
        38.8
        GSM9081289_SRR34323289_2
        56.4%
        48%
        38.8
        GSM9081289_SRR34323290_1
        53.2%
        48%
        40.1
        GSM9081289_SRR34323290_2
        57.2%
        48%
        40.1
        GSM9081289_STAR
        80.6%
        63.6
        GSM9081290
        87.5%
        GSM9081290_SRR34323287_1
        50.3%
        48%
        47.2
        GSM9081290_SRR34323287_2
        54.8%
        48%
        47.2
        GSM9081290_SRR34323288_1
        52.6%
        48%
        51.0
        GSM9081290_SRR34323288_2
        56.6%
        48%
        51.0
        GSM9081290_STAR
        88.4%
        86.8
        GSM9081291
        87.0%
        GSM9081291_SRR34323285_1
        53.3%
        47%
        42.9
        GSM9081291_SRR34323285_2
        57.5%
        48%
        42.9
        GSM9081291_SRR34323286_1
        55.4%
        48%
        45.9
        GSM9081291_SRR34323286_2
        59.1%
        48%
        45.9
        GSM9081291_STAR
        88.3%
        78.4
        GSM9081292
        84.4%
        GSM9081292_SRR34323283_1
        51.3%
        48%
        49.2
        GSM9081292_SRR34323283_2
        55.9%
        48%
        49.2
        GSM9081292_SRR34323284_1
        53.0%
        48%
        51.9
        GSM9081292_SRR34323284_2
        57.0%
        48%
        51.9
        GSM9081292_STAR
        87.2%
        88.3
        GSM9081293
        82.7%
        GSM9081293_SRR34323281_1
        51.3%
        48%
        41.6
        GSM9081293_SRR34323281_2
        53.2%
        48%
        41.6
        GSM9081293_SRR34323282_1
        53.3%
        48%
        43.5
        GSM9081293_SRR34323282_2
        55.0%
        48%
        43.5
        GSM9081293_STAR
        85.8%
        73.0
        GSM9081294
        82.1%
        GSM9081294_SRR34323279_1
        51.2%
        48%
        44.3
        GSM9081294_SRR34323279_2
        55.3%
        49%
        44.3
        GSM9081294_SRR34323280_1
        53.3%
        48%
        47.2
        GSM9081294_SRR34323280_2
        56.8%
        49%
        47.2
        GSM9081294_STAR
        84.6%
        77.4
        GSM9081295
        85.9%
        GSM9081295_SRR34323261_1
        53.4%
        48%
        47.2
        GSM9081295_SRR34323261_2
        57.4%
        48%
        47.2
        GSM9081295_SRR34323262_1
        55.4%
        48%
        50.6
        GSM9081295_SRR34323262_2
        59.0%
        48%
        50.6
        GSM9081295_STAR
        87.1%
        85.2
        GSM9081296
        87.7%
        GSM9081296_SRR34323259_1
        51.8%
        48%
        41.2
        GSM9081296_SRR34323259_2
        56.4%
        48%
        41.2
        GSM9081296_SRR34323260_1
        54.6%
        48%
        44.8
        GSM9081296_SRR34323260_2
        58.3%
        48%
        44.8
        GSM9081296_STAR
        88.3%
        75.9
        GSM9081297
        87.1%
        GSM9081297_SRR34323257_1
        55.0%
        48%
        44.7
        GSM9081297_SRR34323257_2
        59.4%
        48%
        44.7
        GSM9081297_SRR34323258_1
        57.2%
        48%
        47.5
        GSM9081297_SRR34323258_2
        60.9%
        48%
        47.5
        GSM9081297_STAR
        87.9%
        81.0
        GSM9081298
        84.7%
        GSM9081298_SRR34323255_1
        54.2%
        48%
        53.4
        GSM9081298_SRR34323255_2
        59.1%
        48%
        53.4
        GSM9081298_SRR34323256_1
        56.7%
        48%
        57.4
        GSM9081298_SRR34323256_2
        60.6%
        48%
        57.4
        GSM9081298_STAR
        86.9%
        96.3
        GSM9081299
        84.6%
        GSM9081299_SRR34323253_1
        53.1%
        48%
        46.2
        GSM9081299_SRR34323253_2
        57.9%
        48%
        46.2
        GSM9081299_SRR34323254_1
        55.5%
        48%
        49.5
        GSM9081299_SRR34323254_2
        59.4%
        48%
        49.5
        GSM9081299_STAR
        87.0%
        83.2
        GSM9081300
        86.3%
        GSM9081300_SRR34323251_1
        52.1%
        48%
        41.9
        GSM9081300_SRR34323251_2
        56.6%
        48%
        41.9
        GSM9081300_SRR34323252_1
        54.8%
        48%
        45.3
        GSM9081300_SRR34323252_2
        58.3%
        48%
        45.3
        GSM9081300_STAR
        87.1%
        76.0
        GSM9081301
        85.5%
        GSM9081301_SRR34323249_1
        50.6%
        48%
        33.2
        GSM9081301_SRR34323249_2
        54.9%
        48%
        33.2
        GSM9081301_SRR34323250_1
        52.7%
        48%
        35.9
        GSM9081301_SRR34323250_2
        56.8%
        48%
        35.9
        GSM9081301_STAR
        87.5%
        60.6
        GSM9081302
        84.7%
        GSM9081302_SRR34323247_1
        53.2%
        48%
        46.1
        GSM9081302_SRR34323247_2
        57.0%
        48%
        46.1
        GSM9081302_SRR34323248_1
        55.7%
        48%
        49.7
        GSM9081302_SRR34323248_2
        59.2%
        48%
        49.7
        GSM9081302_STAR
        86.8%
        83.1
        GSM9081303
        87.2%
        GSM9081303_SRR34323229_1
        53.1%
        48%
        46.0
        GSM9081303_SRR34323229_2
        57.9%
        48%
        46.0
        GSM9081303_SRR34323230_1
        55.5%
        48%
        50.3
        GSM9081303_SRR34323230_2
        59.6%
        49%
        50.3
        GSM9081303_STAR
        88.4%
        85.2
        GSM9081304
        87.4%
        GSM9081304_SRR34323227_1
        56.6%
        48%
        54.1
        GSM9081304_SRR34323227_2
        61.1%
        49%
        54.1
        GSM9081304_SRR34323228_1
        59.1%
        48%
        58.7
        GSM9081304_SRR34323228_2
        63.2%
        49%
        58.7
        GSM9081304_STAR
        87.9%
        99.2
        GSM9081305
        87.1%
        GSM9081305_SRR34323225_1
        54.1%
        48%
        43.5
        GSM9081305_SRR34323225_2
        58.7%
        48%
        43.5
        GSM9081305_SRR34323226_1
        56.6%
        48%
        47.0
        GSM9081305_SRR34323226_2
        60.5%
        48%
        47.0
        GSM9081305_STAR
        87.1%
        78.8
        GSM9081306
        86.3%
        GSM9081306_SRR34323223_1
        52.3%
        48%
        43.9
        GSM9081306_SRR34323223_2
        57.1%
        48%
        43.9
        GSM9081306_SRR34323224_1
        54.5%
        48%
        46.8
        GSM9081306_SRR34323224_2
        58.6%
        48%
        46.8
        GSM9081306_STAR
        87.6%
        79.5
        GSM9081307
        85.6%
        GSM9081307_SRR34323221_1
        50.7%
        48%
        34.9
        GSM9081307_SRR34323221_2
        55.0%
        49%
        34.9
        GSM9081307_SRR34323222_1
        52.9%
        48%
        37.5
        GSM9081307_SRR34323222_2
        56.4%
        49%
        37.5
        GSM9081307_STAR
        86.6%
        62.7
        GSM9081308
        87.9%
        GSM9081308_SRR34323219_1
        51.9%
        48%
        38.9
        GSM9081308_SRR34323219_2
        56.6%
        49%
        38.9
        GSM9081308_SRR34323220_1
        54.4%
        48%
        42.3
        GSM9081308_SRR34323220_2
        58.3%
        49%
        42.3
        GSM9081308_STAR
        88.7%
        72.0
        GSM9081309
        85.8%
        GSM9081309_SRR34323217_1
        52.7%
        48%
        39.2
        GSM9081309_SRR34323217_2
        57.1%
        48%
        39.2
        GSM9081309_SRR34323218_1
        54.6%
        48%
        41.5
        GSM9081309_SRR34323218_2
        58.3%
        48%
        41.5
        GSM9081309_STAR
        87.3%
        70.4
        GSM9081310
        88.2%
        GSM9081310_SRR34323215_1
        53.6%
        48%
        39.1
        GSM9081310_SRR34323215_2
        58.4%
        48%
        39.1
        GSM9081310_SRR34323216_1
        56.0%
        48%
        42.7
        GSM9081310_SRR34323216_2
        60.1%
        48%
        42.7
        GSM9081310_STAR
        88.9%
        72.7
        GSM9081311
        86.6%
        GSM9081311_SRR34323323_1
        54.8%
        48%
        43.1
        GSM9081311_SRR34323323_2
        59.7%
        48%
        43.1
        GSM9081311_SRR34323324_1
        57.1%
        48%
        46.0
        GSM9081311_SRR34323324_2
        61.2%
        48%
        46.0
        GSM9081311_STAR
        87.9%
        78.3
        GSM9081312
        83.1%
        GSM9081312_SRR34323321_1
        52.6%
        48%
        43.4
        GSM9081312_SRR34323321_2
        57.3%
        49%
        43.4
        GSM9081312_SRR34323322_1
        55.3%
        48%
        46.2
        GSM9081312_SRR34323322_2
        59.3%
        49%
        46.2
        GSM9081312_STAR
        85.6%
        76.6
        GSM9081313
        83.8%
        GSM9081313_SRR34323319_1
        52.2%
        49%
        40.1
        GSM9081313_SRR34323319_2
        56.5%
        49%
        40.1
        GSM9081313_SRR34323320_1
        54.6%
        49%
        43.5
        GSM9081313_SRR34323320_2
        58.5%
        49%
        43.5
        GSM9081313_STAR
        86.0%
        71.8
        GSM9081314
        81.3%
        GSM9081314_SRR34323317_1
        47.1%
        48%
        32.4
        GSM9081314_SRR34323317_2
        49.9%
        48%
        32.4
        GSM9081314_SRR34323318_1
        49.0%
        48%
        33.9
        GSM9081314_SRR34323318_2
        51.5%
        48%
        33.9
        GSM9081314_STAR
        84.9%
        56.3
        GSM9081315
        83.2%
        GSM9081315_SRR34323315_1
        49.4%
        48%
        39.1
        GSM9081315_SRR34323315_2
        53.1%
        48%
        39.1
        GSM9081315_SRR34323316_1
        51.8%
        48%
        42.2
        GSM9081315_SRR34323316_2
        54.9%
        48%
        42.2
        GSM9081315_STAR
        85.8%
        69.8
        GSM9081316
        85.3%
        GSM9081316_SRR34323313_1
        48.0%
        48%
        33.5
        GSM9081316_SRR34323313_2
        51.6%
        48%
        33.5
        GSM9081316_SRR34323314_1
        50.1%
        48%
        35.5
        GSM9081316_SRR34323314_2
        53.2%
        48%
        35.5
        GSM9081316_STAR
        87.4%
        60.3
        GSM9081317
        83.9%
        GSM9081317_SRR34323311_1
        51.3%
        48%
        42.4
        GSM9081317_SRR34323311_2
        54.9%
        48%
        42.4
        GSM9081317_SRR34323312_1
        53.4%
        48%
        45.1
        GSM9081317_SRR34323312_2
        56.7%
        48%
        45.1
        GSM9081317_STAR
        85.5%
        74.8
        GSM9081318
        82.6%
        GSM9081318_SRR34323309_1
        48.2%
        48%
        30.0
        GSM9081318_SRR34323309_2
        51.5%
        48%
        30.0
        GSM9081318_SRR34323310_1
        50.2%
        48%
        31.9
        GSM9081318_SRR34323310_2
        53.0%
        48%
        31.9
        GSM9081318_STAR
        85.2%
        52.8
        GSM9081319
        82.0%
        GSM9081319_SRR34323277_1
        49.2%
        48%
        35.8
        GSM9081319_SRR34323277_2
        53.0%
        48%
        35.8
        GSM9081319_SRR34323278_1
        51.0%
        48%
        37.2
        GSM9081319_SRR34323278_2
        54.1%
        48%
        37.2
        GSM9081319_STAR
        85.0%
        62.1
        GSM9081320
        84.9%
        GSM9081320_SRR34323275_1
        49.2%
        48%
        33.3
        GSM9081320_SRR34323275_2
        52.5%
        48%
        33.3
        GSM9081320_SRR34323276_1
        50.9%
        48%
        35.3
        GSM9081320_SRR34323276_2
        53.7%
        48%
        35.3
        GSM9081320_STAR
        85.9%
        59.0
        GSM9081321
        85.7%
        GSM9081321_SRR34323273_1
        49.9%
        48%
        38.6
        GSM9081321_SRR34323273_2
        53.7%
        48%
        38.6
        GSM9081321_SRR34323274_1
        51.9%
        48%
        41.4
        GSM9081321_SRR34323274_2
        55.0%
        48%
        41.4
        GSM9081321_STAR
        87.5%
        70.1
        GSM9081322
        85.0%
        GSM9081322_SRR34323271_1
        49.8%
        48%
        38.6
        GSM9081322_SRR34323271_2
        53.8%
        48%
        38.6
        GSM9081322_SRR34323272_1
        52.0%
        48%
        40.9
        GSM9081322_SRR34323272_2
        55.3%
        48%
        40.9
        GSM9081322_STAR
        87.6%
        69.7
        GSM9081323
        82.5%
        GSM9081323_SRR34323269_1
        51.0%
        48%
        40.8
        GSM9081323_SRR34323269_2
        55.1%
        48%
        40.8
        GSM9081323_SRR34323270_1
        53.0%
        48%
        42.9
        GSM9081323_SRR34323270_2
        56.2%
        48%
        42.9
        GSM9081323_STAR
        86.1%
        72.1
        GSM9081324
        84.2%
        GSM9081324_SRR34323267_1
        51.6%
        48%
        42.9
        GSM9081324_SRR34323267_2
        55.5%
        48%
        42.9
        GSM9081324_SRR34323268_1
        54.1%
        48%
        45.8
        GSM9081324_SRR34323268_2
        57.0%
        48%
        45.8
        GSM9081324_STAR
        86.4%
        76.6
        GSM9081325
        87.1%
        GSM9081325_SRR34323265_1
        50.5%
        48%
        42.9
        GSM9081325_SRR34323265_2
        54.3%
        48%
        42.9
        GSM9081325_SRR34323266_1
        52.9%
        48%
        46.6
        GSM9081325_SRR34323266_2
        56.2%
        48%
        46.6
        GSM9081325_STAR
        88.4%
        79.1
        GSM9081326
        82.5%
        GSM9081326_SRR34323263_1
        51.1%
        48%
        41.8
        GSM9081326_SRR34323263_2
        55.1%
        48%
        41.8
        GSM9081326_SRR34323264_1
        53.2%
        48%
        44.3
        GSM9081326_SRR34323264_2
        56.8%
        48%
        44.3
        GSM9081326_STAR
        85.9%
        73.9
        GSM9081327
        83.9%
        GSM9081327_SRR34323245_1
        52.7%
        47%
        31.6
        GSM9081327_SRR34323245_2
        56.6%
        48%
        31.6
        GSM9081327_SRR34323246_1
        54.9%
        47%
        33.6
        GSM9081327_SRR34323246_2
        58.3%
        48%
        33.6
        GSM9081327_STAR
        86.3%
        56.3
        GSM9081328
        85.3%
        GSM9081328_SRR34323243_1
        51.4%
        48%
        41.5
        GSM9081328_SRR34323243_2
        55.4%
        48%
        41.5
        GSM9081328_SRR34323244_1
        54.2%
        48%
        44.6
        GSM9081328_SRR34323244_2
        57.2%
        48%
        44.6
        GSM9081328_STAR
        87.0%
        75.0
        GSM9081329
        86.7%
        GSM9081329_SRR34323241_1
        50.5%
        48%
        34.3
        GSM9081329_SRR34323241_2
        54.2%
        48%
        34.3
        GSM9081329_SRR34323242_1
        52.5%
        48%
        36.9
        GSM9081329_SRR34323242_2
        55.8%
        48%
        36.9
        GSM9081329_STAR
        87.3%
        62.2
        GSM9081330
        85.4%
        GSM9081330_SRR34323239_1
        50.4%
        48%
        37.4
        GSM9081330_SRR34323239_2
        54.4%
        48%
        37.4
        GSM9081330_SRR34323240_1
        52.4%
        48%
        40.3
        GSM9081330_SRR34323240_2
        55.9%
        48%
        40.3
        GSM9081330_STAR
        87.4%
        67.9
        GSM9081331
        86.4%
        GSM9081331_SRR34323237_1
        51.0%
        48%
        40.6
        GSM9081331_SRR34323237_2
        54.8%
        48%
        40.6
        GSM9081331_SRR34323238_1
        53.3%
        48%
        43.3
        GSM9081331_SRR34323238_2
        56.4%
        48%
        43.3
        GSM9081331_STAR
        88.5%
        74.2
        GSM9081332
        88.4%
        GSM9081332_SRR34323235_1
        53.6%
        48%
        49.7
        GSM9081332_SRR34323235_2
        57.6%
        49%
        49.7
        GSM9081332_SRR34323236_1
        55.9%
        48%
        52.9
        GSM9081332_SRR34323236_2
        59.5%
        49%
        52.9
        GSM9081332_STAR
        88.9%
        91.3
        GSM9081333
        87.7%
        GSM9081333_SRR34323233_1
        50.5%
        48%
        39.8
        GSM9081333_SRR34323233_2
        54.6%
        48%
        39.8
        GSM9081333_SRR34323234_1
        52.9%
        48%
        43.0
        GSM9081333_SRR34323234_2
        56.5%
        48%
        43.0
        GSM9081333_STAR
        89.1%
        73.7
        GSM9081334
        87.2%
        GSM9081334_SRR34323231_1
        48.7%
        48%
        33.2
        GSM9081334_SRR34323231_2
        53.0%
        48%
        33.2
        GSM9081334_SRR34323232_1
        51.0%
        48%
        36.5
        GSM9081334_SRR34323232_2
        54.9%
        48%
        36.5
        GSM9081334_STAR
        89.0%
        62.0
        GSM9081335
        87.4%
        GSM9081335_SRR34323213_1
        51.0%
        48%
        43.7
        GSM9081335_SRR34323213_2
        54.7%
        48%
        43.7
        GSM9081335_SRR34323214_1
        53.2%
        48%
        47.3
        GSM9081335_SRR34323214_2
        56.7%
        48%
        47.3
        GSM9081335_STAR
        89.2%
        81.2
        GSM9081336
        86.4%
        GSM9081336_SRR34323211_1
        52.9%
        48%
        50.4
        GSM9081336_SRR34323211_2
        57.2%
        48%
        50.4
        GSM9081336_SRR34323212_1
        55.3%
        48%
        54.1
        GSM9081336_SRR34323212_2
        59.1%
        48%
        54.1
        GSM9081336_STAR
        88.1%
        92.1
        GSM9081337
        84.2%
        GSM9081337_SRR34323209_1
        50.9%
        48%
        40.7
        GSM9081337_SRR34323209_2
        55.0%
        48%
        40.7
        GSM9081337_SRR34323210_1
        53.2%
        48%
        43.2
        GSM9081337_SRR34323210_2
        56.2%
        48%
        43.2
        GSM9081337_STAR
        86.6%
        72.7
        GSM9081338
        87.2%
        GSM9081338_SRR34323207_1
        52.8%
        48%
        43.0
        GSM9081338_SRR34323207_2
        57.4%
        48%
        43.0
        GSM9081338_SRR34323208_1
        55.4%
        48%
        46.4
        GSM9081338_SRR34323208_2
        59.4%
        48%
        46.4
        GSM9081338_STAR
        88.5%
        79.1
        GSM9081339
        83.6%
        GSM9081339_SRR34323205_1
        52.2%
        48%
        41.1
        GSM9081339_SRR34323205_2
        56.5%
        48%
        41.1
        GSM9081339_SRR34323206_1
        54.6%
        48%
        44.1
        GSM9081339_SRR34323206_2
        58.3%
        48%
        44.1
        GSM9081339_STAR
        85.9%
        73.2
        GSM9081340
        86.7%
        GSM9081340_SRR34323203_1
        52.9%
        48%
        43.1
        GSM9081340_SRR34323203_2
        57.2%
        48%
        43.1
        GSM9081340_SRR34323204_1
        55.6%
        48%
        47.3
        GSM9081340_SRR34323204_2
        58.8%
        48%
        47.3
        GSM9081340_STAR
        87.7%
        79.3
        GSM9081341
        88.3%
        GSM9081341_SRR34323201_1
        52.3%
        48%
        43.4
        GSM9081341_SRR34323201_2
        56.8%
        48%
        43.4
        GSM9081341_SRR34323202_1
        54.7%
        48%
        47.1
        GSM9081341_SRR34323202_2
        58.7%
        48%
        47.1
        GSM9081341_STAR
        89.3%
        80.9
        GSM9081342
        88.3%
        GSM9081342_SRR34323199_1
        52.3%
        48%
        47.6
        GSM9081342_SRR34323199_2
        57.2%
        48%
        47.6
        GSM9081342_SRR34323200_1
        54.5%
        48%
        51.0
        GSM9081342_SRR34323200_2
        58.5%
        48%
        51.0
        GSM9081342_STAR
        89.2%
        87.9
        GSM9081343
        88.0%
        GSM9081343_SRR34323307_1
        50.7%
        48%
        36.3
        GSM9081343_SRR34323307_2
        54.9%
        48%
        36.3
        GSM9081343_SRR34323308_1
        53.1%
        48%
        39.0
        GSM9081343_SRR34323308_2
        56.7%
        48%
        39.0
        GSM9081343_STAR
        88.5%
        66.6
        GSM9081344
        86.2%
        GSM9081344_SRR34323305_1
        53.6%
        48%
        47.5
        GSM9081344_SRR34323305_2
        57.9%
        48%
        47.5
        GSM9081344_SRR34323306_1
        55.8%
        48%
        51.2
        GSM9081344_SRR34323306_2
        59.9%
        49%
        51.2
        GSM9081344_STAR
        87.1%
        86.0
        GSM9081345
        88.4%
        GSM9081345_SRR34323303_1
        55.1%
        48%
        46.0
        GSM9081345_SRR34323303_2
        59.5%
        48%
        46.0
        GSM9081345_SRR34323304_1
        57.4%
        48%
        49.7
        GSM9081345_SRR34323304_2
        61.2%
        48%
        49.7
        GSM9081345_STAR
        89.2%
        85.4
        GSM9081346
        88.0%
        GSM9081346_SRR34323301_1
        54.0%
        48%
        43.2
        GSM9081346_SRR34323301_2
        58.5%
        48%
        43.2
        GSM9081346_SRR34323302_1
        56.4%
        48%
        46.1
        GSM9081346_SRR34323302_2
        60.2%
        48%
        46.1
        GSM9081346_STAR
        88.7%
        79.2
        GSM9081347
        87.8%
        GSM9081347_SRR34323299_1
        50.1%
        48%
        34.0
        GSM9081347_SRR34323299_2
        54.2%
        48%
        34.0
        GSM9081347_SRR34323300_1
        52.3%
        48%
        36.3
        GSM9081347_SRR34323300_2
        55.8%
        48%
        36.3
        GSM9081347_STAR
        89.1%
        62.6
        GSM9081348
        86.8%
        GSM9081348_SRR34323297_1
        50.1%
        48%
        35.0
        GSM9081348_SRR34323297_2
        53.8%
        48%
        35.0
        GSM9081348_SRR34323298_1
        52.2%
        48%
        37.9
        GSM9081348_SRR34323298_2
        55.7%
        48%
        37.9
        GSM9081348_STAR
        88.2%
        64.2
        GSM9081349
        88.2%
        GSM9081349_SRR34323295_1
        50.0%
        48%
        33.4
        GSM9081349_SRR34323295_2
        54.2%
        48%
        33.4
        GSM9081349_SRR34323296_1
        52.9%
        48%
        36.2
        GSM9081349_SRR34323296_2
        56.4%
        48%
        36.2
        GSM9081349_STAR
        89.4%
        62.3

        Rsem

        Rsem RSEM (RNA-Seq by Expectation-Maximization) is a software package forestimating gene and isoform expression levels from RNA-Seq data.DOI: 10.1186/1471-2105-12-323.

        Mapped Reads

        A breakdown of how all reads were aligned for each sample.

        loading..

        Multimapping rates

        A frequency histogram showing how many reads were aligned to n reference regions.

        In an ideal world, every sequence reads would align uniquely to a single location in the reference. However, due to factors such as repeititve sequences, short reads and sequencing errors, reads can be align to the reference 0, 1 or more times. This plot shows the frequency of each factor of multimapping. Good samples should have the majority of reads aligning once.

        loading..

        STAR

        STAR is an ultrafast universal RNA-seq aligner.DOI: 10.1093/bioinformatics/bts635.

        Alignment Scores

        loading..

        FastQ Screen

        Version: 0.15.1

        FastQ Screen allows you to screen a library of sequences in FastQ format against a set of sequence databases so you can see if the composition of the library matches with what you expect.DOI: 10.12688/f1000research.15931.2.

        Mapped Reads

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


        FastQC

        Version: 0.11.9

        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 (151bp).

        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 by sample

        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 overrepresented.

        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 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.

        288 samples had less than 1% of reads made up of overrepresented sequences

        Top overrepresented sequences

        Top overrepresented sequences across all samples. The table shows 20 most overrepresented sequences across all samples, ranked by the number of samples they occur in.

        Showing 20/20 rows and 3/3 columns.
        Overrepresented sequenceSamplesOccurrences% of all reads
        GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG
        144
        20291409
        0.1633%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACTGGAAGCAATCTGGGGG
        2
        110417
        0.0009%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCTGTACCAATCTGGGGG
        2
        104589
        0.0008%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGAGAGAAATCTGGGGG
        2
        96071
        0.0008%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACATAACGCCATCTGGGGG
        2
        135388
        0.0011%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCCTTGAATCTGGGGG
        2
        128413
        0.0010%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCGAATACGATCTGGGGG
        2
        130966
        0.0011%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACTACCTGCAATCTGGGGG
        2
        95826
        0.0008%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAGGTTCAATCTGGGGG
        2
        84915
        0.0007%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGGTATAGGATCTGGGGG
        2
        131572
        0.0011%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCATGAGCAATCTGGGGG
        2
        95750
        0.0008%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTACCACAATCTGGGGG
        2
        162724
        0.0013%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACCAACACAGATCTGGGGG
        2
        177638
        0.0014%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTAACCGAATCTGGGGG
        2
        106281
        0.0009%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCAGTCAATCTGGGGG
        2
        97049
        0.0008%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGCTACCAATCTGGGGG
        2
        200141
        0.0016%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGAATCACCATCTGGGGG
        2
        110040
        0.0009%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACGTCGATTGATCTGGGGG
        2
        218967
        0.0018%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACAGACGCTAATCTGGGGG
        2
        196428
        0.0016%
        GATCGGAAGAGCACACGTCTGAACTCCAGTCACTCGTCTGAATCTGGGGG
        2
        94682
        0.0008%

        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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        Software Versions

        Software Versions lists versions of software tools extracted from file contents.

        SoftwareVersion
        FastQ Screen0.15.1
        FastQC0.11.9