Sequencing and raw data quality control report

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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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        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

        Sequencing and raw data quality control report
        CRG - Genomics Unit

        PI
        Josep Comin
        Subproject
        COMINJOS_05
        Application
        mRNA-Seq

        Because this report contains a lot of samples, you may need to click 'Show plot' to see some graphs.

        General Statistics

        Showing 240/240 rows and 3/6 columns.
        Sample Name% Dups% GCM Seqs
        102_09876AAG_ACCTTCAC-CTTGTCAC_R1
        63.0%
        53%
        42.9M
        102_09876AAG_ACCTTCAC-CTTGTCAC_R2
        63.1%
        53%
        42.9M
        103_09176AAG_TAACGTCG-AAGGCTGA_R1
        73.2%
        54%
        59.1M
        103_09176AAG_TAACGTCG-AAGGCTGA_R2
        71.5%
        54%
        59.1M
        105_09879AAG_GTCATACC-AGTGTGGA_R1
        63.7%
        53%
        40.1M
        105_09879AAG_GTCATACC-AGTGTGGA_R2
        64.1%
        53%
        40.1M
        106_09175AAG_ACGATCAG-GTTGCGAT_R1
        75.1%
        54%
        57.6M
        106_09175AAG_ACGATCAG-GTTGCGAT_R2
        73.5%
        54%
        57.6M
        109_09877AAG_GTTCCTCA-TCGTCTGT_R1
        61.0%
        52%
        42.9M
        109_09877AAG_GTTCCTCA-TCGTCTGT_R2
        61.6%
        52%
        42.9M
        1101_08909AAG_TCACTCGA-GTGCCATA_R1
        63.5%
        53%
        54.9M
        1101_08909AAG_TCACTCGA-GTGCCATA_R2
        62.6%
        53%
        54.9M
        1104_09887AAG_ACCGAACA-ATGCCTTG_R1
        63.4%
        53%
        44.2M
        1104_09887AAG_ACCGAACA-ATGCCTTG_R2
        63.0%
        53%
        44.2M
        122_09172AAG_GCCAGAAT-CGCTAGTA_R1
        72.2%
        53%
        60.1M
        122_09172AAG_GCCAGAAT-CGCTAGTA_R2
        72.8%
        53%
        60.1M
        123_09888AAG_TGGTGACT-TGGATAGC_R1
        63.6%
        54%
        44.3M
        123_09888AAG_TGGTGACT-TGGATAGC_R2
        63.3%
        54%
        44.3M
        124_09173AAG_AATGACGC-ATGGTCCA_R1
        75.9%
        54%
        52.2M
        124_09173AAG_AATGACGC-ATGGTCCA_R2
        74.9%
        54%
        52.2M
        125_09874AAG_ATGTCCGT-CCGATATG_R1
        80.7%
        55%
        53.5M
        125_09874AAG_ATGTCCGT-CCGATATG_R2
        80.3%
        55%
        53.5M
        126_08783AAG_CCTTAGGT-TTGAGGCA_R1
        77.9%
        55%
        45.7M
        126_08783AAG_CCTTAGGT-TTGAGGCA_R2
        76.8%
        55%
        45.7M
        136_09174AAG_GTACCACA-ATATGCGC_R1
        72.8%
        54%
        54.8M
        136_09174AAG_GTACCACA-ATATGCGC_R2
        71.2%
        53%
        54.8M
        1382_09878AAG_ACTGCGTT-GTCTCAAG_R1
        62.1%
        52%
        46.1M
        1382_09878AAG_ACTGCGTT-GTCTCAAG_R2
        62.6%
        52%
        46.1M
        138_09875AAG_CCACTAAC-TTAGCGGT_R1
        61.0%
        53%
        42.4M
        138_09875AAG_CCACTAAC-TTAGCGGT_R2
        60.9%
        53%
        42.4M
        143_09177AAG_CGCAACTA-CGTCAATG_R1
        74.8%
        54%
        62.0M
        143_09177AAG_CGCAACTA-CGTCAATG_R2
        73.2%
        53%
        62.0M
        148_08784AAG_CCTATACC-GCTCTGTA_R1
        85.1%
        54%
        56.0M
        148_08784AAG_CCTATACC-GCTCTGTA_R2
        84.3%
        54%
        56.0M
        149_08785AAG_AACGCCTT-TTCTCTCG_R1
        72.5%
        55%
        57.7M
        149_08785AAG_AACGCCTT-TTCTCTCG_R2
        70.8%
        55%
        57.7M
        150_09880AAG_TCATCGAG-AGTCCGTT_R1
        61.9%
        53%
        43.6M
        150_09880AAG_TCATCGAG-AGTCCGTT_R2
        62.8%
        53%
        43.6M
        151_09889AAG_CAACAGTC-CTAGCGTT_R1
        60.7%
        52%
        44.3M
        151_09889AAG_CAACAGTC-CTAGCGTT_R2
        61.6%
        52%
        44.3M
        154_08786AAG_TCCATTGC-TCCTACCT_R1
        76.8%
        55%
        53.6M
        154_08786AAG_TCCATTGC-TCCTACCT_R2
        75.4%
        55%
        53.6M
        158_09890AAG_GTGGCATT-TAACGGTC_R1
        59.6%
        52%
        45.3M
        158_09890AAG_GTGGCATT-TAACGGTC_R2
        60.4%
        52%
        45.3M
        159_08787AAG_CAAGCCAA-CTTCGTTC_R1
        77.9%
        55%
        54.1M
        159_08787AAG_CAAGCCAA-CTTCGTTC_R2
        76.5%
        54%
        54.1M
        160_08788AAG_AGGTTCCT-AGGTTCGA_R1
        76.2%
        55%
        60.9M
        160_08788AAG_AGGTTCCT-AGGTTCGA_R2
        74.8%
        55%
        60.9M
        162_09881AAG_CTCCAAGA-GTCTTAGC_R1
        61.1%
        53%
        41.8M
        162_09881AAG_CTCCAAGA-GTCTTAGC_R2
        61.9%
        52%
        41.8M
        167_09882AAG_CCTTACTC-TAGCTAGC_R1
        66.9%
        53%
        41.4M
        167_09882AAG_CCTTACTC-TAGCTAGC_R2
        67.0%
        53%
        41.4M
        169_09883AAG_TACCGTCA-GGATCGTT_R1
        58.6%
        52%
        47.6M
        169_09883AAG_TACCGTCA-GGATCGTT_R2
        59.7%
        52%
        47.6M
        171_09884AAG_TACGCAGA-CCACATCT_R1
        64.1%
        53%
        47.6M
        171_09884AAG_TACGCAGA-CCACATCT_R2
        64.1%
        53%
        47.6M
        175_09178AAG_AACACTGG-ATGCCTGT_R1
        69.4%
        53%
        53.2M
        175_09178AAG_AACACTGG-ATGCCTGT_R2
        67.7%
        53%
        53.2M
        177_08905AAG_ACGCTTCT-GACTTAGG_R1
        69.4%
        54%
        47.4M
        177_08905AAG_ACGCTTCT-GACTTAGG_R2
        68.3%
        53%
        47.4M
        179_08906AAG_CTATCCAC-TGTGCGTT_R1
        73.6%
        54%
        50.7M
        179_08906AAG_CTATCCAC-TGTGCGTT_R2
        72.5%
        54%
        50.7M
        180_09885AAG_CGTATCAC-TTGTGCTC_R1
        68.6%
        52%
        44.4M
        180_09885AAG_CGTATCAC-TTGTGCTC_R2
        68.7%
        52%
        44.4M
        190_08907AAG_TGACAACC-CTGTTGAC_R1
        74.5%
        54%
        48.6M
        190_08907AAG_TGACAACC-CTGTTGAC_R2
        73.5%
        54%
        48.6M
        191_09179AAG_CCTGTCAA-ACAGACCT_R1
        71.4%
        54%
        55.5M
        191_09179AAG_CCTGTCAA-ACAGACCT_R2
        69.7%
        54%
        55.5M
        194_09891AAG_ACAATGCC-CGGTAACT_R1
        64.7%
        53%
        42.7M
        194_09891AAG_ACAATGCC-CGGTAACT_R2
        64.9%
        53%
        42.7M
        196_08908AAG_CAGTGCTT-TGAGGTGT_R1
        76.4%
        54%
        57.3M
        196_08908AAG_CAGTGCTT-TGAGGTGT_R2
        75.4%
        54%
        57.3M
        199_09886AAG_GATAGGTC-GGATTCCT_R1
        70.5%
        53%
        46.3M
        199_09886AAG_GATAGGTC-GGATTCCT_R2
        70.4%
        53%
        46.3M
        202_08917AAG_TCGTGCAT-TGGTACAG_R1
        71.9%
        54%
        56.8M
        202_08917AAG_TCGTGCAT-TGGTACAG_R2
        70.3%
        54%
        56.8M
        207_08918AAG_CTACATCC-CTAGGTGA_R1
        76.8%
        55%
        57.3M
        207_08918AAG_CTACATCC-CTAGGTGA_R2
        75.8%
        54%
        57.3M
        2101_09864AAG_TTGTGTCC-GATCCGAA_R1
        60.5%
        53%
        43.5M
        2101_09864AAG_TTGTGTCC-GATCCGAA_R2
        60.4%
        53%
        43.5M
        2103_09865AAG_CCACACTT-AGCTTAGG_R1
        67.2%
        53%
        47.9M
        2103_09865AAG_CCACACTT-AGCTTAGG_R2
        66.8%
        53%
        47.9M
        2107_09164AAG_GCCTTAAC-CATAACGG_R1
        72.3%
        54%
        55.0M
        2107_09164AAG_GCCTTAAC-CATAACGG_R2
        70.4%
        54%
        55.0M
        2108_09978AAG_AGATCGGT-GCTAACTC_R1
        66.6%
        54%
        41.6M
        2108_09978AAG_AGATCGGT-GCTAACTC_R2
        66.6%
        54%
        41.6M
        2109_09165AAG_ATTCCGCT-AGTCGACA_R1
        77.1%
        54%
        57.4M
        2109_09165AAG_ATTCCGCT-AGTCGACA_R2
        75.7%
        54%
        57.4M
        2113_09979AAG_GAGCTAAC-ATCGGTCT_R1
        67.7%
        53%
        40.5M
        2113_09979AAG_GAGCTAAC-ATCGGTCT_R2
        67.9%
        53%
        40.5M
        2114_09166AAG_ATCGTGGT-CGATAGAG_R1
        80.3%
        53%
        61.1M
        2114_09166AAG_ATCGTGGT-CGATAGAG_R2
        79.1%
        53%
        61.1M
        2115_09980AAG_GATGGTCT-ACTGGAAG_R1
        66.2%
        53%
        40.4M
        2115_09980AAG_GATGGTCT-ACTGGAAG_R2
        66.5%
        53%
        40.4M
        2117_09167AAG_GCTACAAC-CAAGCAGT_R1
        74.4%
        54%
        62.0M
        2117_09167AAG_GCTACAAC-CAAGCAGT_R2
        72.9%
        54%
        62.0M
        2122_09866AAG_CAGAGGAT-CCTCATGT_R1
        64.5%
        53%
        47.3M
        2122_09866AAG_CAGAGGAT-CCTCATGT_R2
        64.3%
        53%
        47.3M
        2124_09168AAG_TCTACGCA-ATAAGGCG_R1
        72.2%
        54%
        55.5M
        2124_09168AAG_TCTACGCA-ATAAGGCG_R2
        70.3%
        54%
        55.5M
        2125_09867AAG_ACACAACC-TTGTGCAG_R1
        66.0%
        54%
        44.9M
        2125_09867AAG_ACACAACC-TTGTGCAG_R2
        66.1%
        54%
        44.9M
        2139_09169AAG_CTCCAATC-GGACCTAT_R1
        77.2%
        54%
        64.2M
        2139_09169AAG_CTCCAATC-GGACCTAT_R2
        75.8%
        54%
        64.2M
        2140_09170AAG_ACTCTCCA-CGTGATCA_R1
        77.1%
        54%
        58.2M
        2140_09170AAG_ACTCTCCA-CGTGATCA_R2
        75.8%
        54%
        58.2M
        2148_09981AAG_AGCAACTC-GTGATGGA_R1
        67.3%
        54%
        40.6M
        2148_09981AAG_AGCAACTC-GTGATGGA_R2
        67.5%
        54%
        40.6M
        2152_09171AAG_GTCTCATC-TTGATCCG_R1
        79.2%
        54%
        53.1M
        2152_09171AAG_GTCTCATC-TTGATCCG_R2
        78.3%
        54%
        53.1M
        2162_09982AAG_CATAGCCA-TGACATGC_R1
        67.1%
        53%
        42.7M
        2162_09982AAG_CATAGCCA-TGACATGC_R2
        67.3%
        53%
        42.7M
        216_09973AAG_ATCTGACC-GATCGTAC_R1
        74.2%
        55%
        43.9M
        216_09973AAG_ATCTGACC-GATCGTAC_R2
        74.1%
        55%
        43.9M
        227_09850AAG_TGGACTCA-AAGAGTGC_R1
        68.4%
        54%
        44.1M
        227_09850AAG_TGGACTCA-AAGAGTGC_R2
        68.4%
        53%
        44.1M
        229_08919AAG_CATACGGA-GTGGTGTT_R1
        75.7%
        54%
        54.3M
        229_08919AAG_CATACGGA-GTGGTGTT_R2
        74.7%
        54%
        54.3M
        234_09851AAG_CAAGACTC-GGAGAGTT_R1
        68.8%
        53%
        49.7M
        234_09851AAG_CAAGACTC-GGAGAGTT_R2
        69.1%
        53%
        49.7M
        237_09974AAG_TATAGGCC-ACGGTCAA_R1
        66.3%
        53%
        44.7M
        237_09974AAG_TATAGGCC-ACGGTCAA_R2
        66.7%
        53%
        44.7M
        238_09852AAG_TGGATGTC-ACTGAGTC_R1
        76.2%
        54%
        45.4M
        238_09852AAG_TGGATGTC-ACTGAGTC_R2
        76.2%
        54%
        45.4M
        240_09853AAG_CAAGCACT-GTGAGAGT_R1
        66.4%
        53%
        46.3M
        240_09853AAG_CAAGCACT-GTGAGAGT_R2
        66.5%
        53%
        46.3M
        242_09854AAG_CATTCTGG-GGCTAACT_R1
        68.8%
        54%
        44.1M
        242_09854AAG_CATTCTGG-GGCTAACT_R2
        68.6%
        54%
        44.1M
        244_08920AAG_TGCGTAAC-TGAAGACG_R1
        71.9%
        55%
        50.6M
        244_08920AAG_TGCGTAAC-TGAAGACG_R2
        70.9%
        55%
        50.6M
        245_09855AAG_AGCCACAA-ATTCGGTG_R1
        64.8%
        54%
        41.5M
        245_09855AAG_AGCCACAA-ATTCGGTG_R2
        64.5%
        54%
        41.5M
        262_08921AAG_CAGGTTCA-GCTACGTT_R1
        75.9%
        54%
        61.6M
        262_08921AAG_CAGGTTCA-GCTACGTT_R2
        75.2%
        54%
        61.6M
        267_09856AAG_TGGTACTG-GATGAAGC_R1
        69.5%
        54%
        40.3M
        267_09856AAG_TGGTACTG-GATGAAGC_R2
        69.3%
        54%
        40.3M
        268_09975AAG_CGCCAATA-GTAACTGG_R1
        71.0%
        53%
        47.0M
        268_09975AAG_CGCCAATA-GTAACTGG_R2
        71.0%
        53%
        47.0M
        270_09857AAG_CAACGTCA-TGCAGGTT_R1
        65.3%
        53%
        42.3M
        270_09857AAG_CAACGTCA-TGCAGGTT_R2
        64.9%
        53%
        42.3M
        271_09858AAG_ATAGCCGA-ACACAGAG_R1
        60.3%
        53%
        42.1M
        271_09858AAG_ATAGCCGA-ACACAGAG_R2
        61.0%
        53%
        42.1M
        272_08922AAG_AGAACCAG-ATGGTTGC_R1
        73.7%
        54%
        52.1M
        272_08922AAG_AGAACCAG-ATGGTTGC_R2
        72.4%
        54%
        52.1M
        274_08923AAG_GAATGGCA-AGTGGATC_R1
        70.5%
        54%
        57.4M
        274_08923AAG_GAATGGCA-AGTGGATC_R2
        68.8%
        54%
        57.4M
        275_08924AAG_AGGCAATG-GTCTAGGT_R1
        74.3%
        54%
        54.6M
        275_08924AAG_AGGCAATG-GTCTAGGT_R2
        72.7%
        54%
        54.6M
        276_09976AAG_TTCCGTTC-GAGCATCT_R1
        71.9%
        53%
        46.9M
        276_09976AAG_TTCCGTTC-GAGCATCT_R2
        72.0%
        53%
        46.9M
        282_09859AAG_GCGAATAG-GTGTGTGT_R1
        69.3%
        54%
        42.3M
        282_09859AAG_GCGAATAG-GTGTGTGT_R2
        69.5%
        54%
        42.3M
        283_08925AAG_TAGGAGCT-ACTGCTAG_R1
        74.3%
        54%
        55.0M
        283_08925AAG_TAGGAGCT-ACTGCTAG_R2
        73.1%
        54%
        55.0M
        286_09860AAG_TCTTGCTG-TGAGAGGT_R1
        70.3%
        54%
        39.2M
        286_09860AAG_TCTTGCTG-TGAGAGGT_R2
        69.6%
        54%
        39.2M
        290_09861AAG_CTCCATCA-CTGTGAAC_R1
        64.4%
        54%
        44.4M
        290_09861AAG_CTCCATCA-CTGTGAAC_R2
        64.2%
        54%
        44.4M
        291_08926AAG_CGAACAAC-GTCATCGA_R1
        81.0%
        55%
        56.7M
        291_08926AAG_CGAACAAC-GTCATCGA_R2
        80.1%
        54%
        56.7M
        292_08927AAG_CATTCGTC-TGCACCAA_R1
        78.7%
        54%
        64.1M
        292_08927AAG_CATTCGTC-TGCACCAA_R2
        77.7%
        54%
        64.1M
        293_09977AAG_CCTTACCT-TGATGCTG_R1
        65.6%
        53%
        40.0M
        293_09977AAG_CCTTACCT-TGATGCTG_R2
        65.6%
        53%
        40.0M
        294_09862AAG_CCGCATAA-ACGCTGAA_R1
        64.4%
        54%
        50.8M
        294_09862AAG_CCGCATAA-ACGCTGAA_R2
        64.5%
        54%
        50.8M
        297_09863AAG_TAATGCCG-GTATCAGG_R1
        65.1%
        54%
        43.7M
        297_09863AAG_TAATGCCG-GTATCAGG_R2
        64.9%
        54%
        43.7M
        298_08928AAG_AGCCAACT-GATGCACT_R1
        71.9%
        54%
        50.1M
        298_08928AAG_AGCCAACT-GATGCACT_R2
        71.0%
        54%
        50.1M
        299_08789AAG_GAACCTTC-GTACCTTG_R1
        71.7%
        54%
        68.1M
        299_08789AAG_GAACCTTC-GTACCTTG_R2
        70.3%
        54%
        68.1M
        301_09895AAG_CAGAAGAC-TCTGCATC_R1
        70.6%
        54%
        50.9M
        301_09895AAG_CAGAAGAC-TCTGCATC_R2
        70.0%
        54%
        50.9M
        304_09892AAG_AAGCAGCA-GCTTGAAC_R1
        65.7%
        54%
        44.5M
        304_09892AAG_AAGCAGCA-GCTTGAAC_R2
        64.9%
        54%
        44.5M
        305_08790AAG_AAGTCCTC-TGGTAGCT_R1
        77.2%
        54%
        62.7M
        305_08790AAG_AAGTCCTC-TGGTAGCT_R2
        75.7%
        54%
        62.7M
        307_09893AAG_GCATGAAG-TTGCAGGT_R1
        66.2%
        54%
        39.2M
        307_09893AAG_GCATGAAG-TTGCAGGT_R2
        65.3%
        54%
        39.2M
        308_09183AAG_GAAGACTG-TCATGGTG_R1
        73.9%
        54%
        51.3M
        308_09183AAG_GAAGACTG-TCATGGTG_R2
        71.7%
        54%
        51.3M
        309_09894AAG_AGAGCAGT-CTCATGCT_R1
        68.1%
        54%
        45.4M
        309_09894AAG_AGAGCAGT-CTCATGCT_R2
        67.6%
        54%
        45.4M
        310_09896AAG_AGGATCGA-CTCTGCTA_R1
        67.4%
        54%
        41.5M
        310_09896AAG_AGGATCGA-CTCTGCTA_R2
        67.0%
        54%
        41.5M
        313_09180AAG_TCCTGGTA-AGGATCTG_R1
        82.9%
        55%
        50.5M
        313_09180AAG_TCCTGGTA-AGGATCTG_R2
        81.9%
        54%
        50.5M
        314_09181AAG_CATCAACC-TTCAGGAG_R1
        74.3%
        55%
        50.3M
        314_09181AAG_CATCAACC-TTCAGGAG_R2
        72.5%
        55%
        50.3M
        318_08910AAG_CTGACTAC-ACATTGCG_R1
        76.7%
        54%
        47.4M
        318_08910AAG_CTGACTAC-ACATTGCG_R2
        75.6%
        54%
        47.4M
        320_09182AAG_AGCAGACA-CATCCTCT_R1
        75.5%
        54%
        62.0M
        320_09182AAG_AGCAGACA-CATCCTCT_R2
        73.9%
        54%
        62.0M
        405_09966AAG_GACATCTC-GTGTGACA_R1
        62.3%
        53%
        42.7M
        405_09966AAG_GACATCTC-GTGTGACA_R2
        62.6%
        53%
        42.7M
        406_09187AAG_TCCAACTG-CTGACACA_R1
        79.8%
        55%
        55.2M
        406_09187AAG_TCCAACTG-CTGACACA_R2
        78.2%
        54%
        55.2M
        410_09967AAG_ACTGCACT-GACGATCT_R1
        66.2%
        53%
        46.5M
        410_09967AAG_ACTGCACT-GACGATCT_R2
        66.7%
        53%
        46.5M
        411_09968AAG_GTTCCATG-TCGCATTG_R1
        71.3%
        53%
        45.6M
        411_09968AAG_GTTCCATG-TCGCATTG_R2
        71.3%
        53%
        45.6M
        416_09969AAG_ACCAAGCA-AGCAAGCA_R1
        66.6%
        54%
        48.6M
        416_09969AAG_ACCAAGCA-AGCAAGCA_R2
        66.5%
        54%
        48.6M
        422_09184AAG_TCTAGTCC-GATTACCG_R1
        76.4%
        55%
        51.9M
        422_09184AAG_TCTAGTCC-GATTACCG_R2
        75.0%
        54%
        51.9M
        423_09970AAG_CTCTCAGA-CGACCATT_R1
        66.7%
        53%
        48.3M
        423_09970AAG_CTCTCAGA-CGACCATT_R2
        67.2%
        53%
        48.3M
        430_08912AAG_ACAGCAAG-TTGCAGAC_R1
        75.3%
        55%
        54.1M
        430_08912AAG_ACAGCAAG-TTGCAGAC_R2
        74.2%
        55%
        54.1M
        433_09845AAG_TCACACAG-TGTGTGAC_R1
        80.4%
        56%
        58.7M
        433_09845AAG_TCACACAG-TGTGTGAC_R2
        79.7%
        55%
        58.7M
        435_09185AAG_CTCGACTT-ACACACTC_R1
        75.2%
        54%
        58.0M
        435_09185AAG_CTCGACTT-ACACACTC_R2
        73.8%
        54%
        58.0M
        445_08913AAG_TGCTGTGA-GAATCGTG_R1
        75.9%
        54%
        52.8M
        445_08913AAG_TGCTGTGA-GAATCGTG_R2
        74.7%
        54%
        52.8M
        446_08914AAG_CAACACAG-AGGCTTCT_R1
        76.8%
        55%
        54.9M
        446_08914AAG_CAACACAG-AGGCTTCT_R2
        75.4%
        54%
        54.9M
        450_08911AAG_GTGATCCA-CGTTGAGT_R1
        78.3%
        55%
        59.5M
        450_08911AAG_GTGATCCA-CGTTGAGT_R2
        77.3%
        55%
        59.5M
        452_09186AAG_CTAGCTCA-CCTCAGTT_R1
        75.6%
        55%
        59.5M
        452_09186AAG_CTAGCTCA-CCTCAGTT_R2
        74.0%
        54%
        59.5M
        454_09971AAG_ACTCTGAG-GCACAACT_R1
        75.1%
        53%
        43.4M
        454_09971AAG_ACTCTGAG-GCACAACT_R2
        75.5%
        53%
        43.4M
        455_09846AAG_CTTGTACC-GTAAGGCA_R1
        71.5%
        54%
        53.4M
        455_09846AAG_CTTGTACC-GTAAGGCA_R2
        71.2%
        54%
        53.4M
        456_09847AAG_TCCACCTA-ACGGAATG_R1
        66.4%
        53%
        56.6M
        456_09847AAG_TCCACCTA-ACGGAATG_R2
        66.2%
        53%
        56.6M
        460_09848AAG_GAATCCAG-CTGGTACA_R1
        63.2%
        53%
        42.0M
        460_09848AAG_GAATCCAG-CTGGTACA_R2
        63.2%
        53%
        42.0M
        463_08915AAG_CCACATTG-CTGGAGTA_R1
        76.5%
        55%
        59.1M
        463_08915AAG_CCACATTG-CTGGAGTA_R2
        75.4%
        55%
        59.1M
        464_09844AAG_CAGTGAGA-CACACAGT_R1
        66.7%
        53%
        48.8M
        464_09844AAG_CAGTGAGA-CACACAGT_R2
        67.1%
        53%
        48.8M
        466_09849AAG_AGCCTTCA-TGTACGTG_R1
        68.8%
        54%
        46.6M
        466_09849AAG_AGCCTTCA-TGTACGTG_R2
        68.9%
        54%
        46.6M
        467_09972AAG_GCTCAGTT-CTCGATAC_R1
        63.7%
        53%
        40.7M
        467_09972AAG_GCTCAGTT-CTCGATAC_R2
        63.6%
        53%
        40.7M
        470_08916AAG_TAGTGCCA-TCTTGACG_R1
        74.8%
        54%
        56.7M
        470_08916AAG_TAGTGCCA-TCTTGACG_R2
        73.4%
        54%
        56.7M

        Raw data QC - FastQC

        Version: 0.12.1

        Quality control tool for high throughput sequencing data.URL: http://www.bioinformatics.babraham.ac.uk/projects/fastqc

        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.

        Created with MultiQC

        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.

        Created with MultiQC

        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.

        Created with MultiQC

        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 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.

        Created with MultiQC

        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 (e.g. 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.

        Created with MultiQC

        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
        71
        4886263
        0.0407%
        CACAGACTCAGAGAGAACCCACCATGGTGCTGTCTCCTGCCGACAAGACC
        51
        3995868
        0.0333%
        CCACAGACTCAGAGAGAACCCACCATGGTGCTGTCTCCTGCCGACAAGAC
        36
        2673940
        0.0223%
        GCGGGAAGTAGGTCTTGGTGGTGGGGAAGGACAGGAACATCCTCTCCAGG
        8
        629379
        0.0052%
        GGGGAGGTGGGCGGCCAGGGTCACCAGCAGGCAGTGGCTTAGGAGCTTGA
        4
        302924
        0.0025%
        GGGAGGTGGGCGGCCAGGGTCACCAGCAGGCAGTGGCTTAGGAGCTTGAA
        3
        242302
        0.0020%
        GTGGCTTAGGAGCTTGAAGTTGACCGGGTCCACCCGAAGCTTGTGCGCGT
        3
        227295
        0.0019%
        GAGAGAACCCACCATGGTGCTGTCTCCTGCCGACAAGACCAACGTCAAGG
        3
        226789
        0.0019%
        AGAGAACCCACCATGGTGCTGTCTCCTGCCGACAAGACCAACGTCAAGGC
        2
        166777
        0.0014%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTGCTCTGTAGTGTAGATC
        1
        285820
        0.0024%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTCGACCATTGTGTAGATC
        1
        53471
        0.0004%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGTGGATCGTGTAGATC
        1
        97793
        0.0008%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTTGAGGTGTGTGTAGATC
        1
        204750
        0.0017%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTGACTTAGGGTGTAGATC
        1
        135548
        0.0011%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTTTGAGGCAGTGTAGATC
        1
        221766
        0.0018%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTCATAACGGGTGTAGATC
        1
        75774
        0.0006%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTATGGTTGCGTGTAGATC
        1
        126125
        0.0011%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTTTCAGGAGGTGTAGATC
        1
        100129
        0.0008%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTTCGCATTGGTGTAGATC
        1
        79628
        0.0007%
        AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTTGAAGACGGTGTAGATC
        1
        189416
        0.0016%

        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.

        Created with MultiQC

        Software Versions

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

        SoftwareVersion
        Raw data QC - FastQC0.12.1