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Methyl-MiniSeq Analysis Report for in0007_batch4

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        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in in0007_batch4_multiqc_report_data when this report was generated.


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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.9

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        Methyl-MiniSeq Analysis Report for in0007_batch4

        This report includes summaries of data quality, data processing, and snapshots of the results for your DNA methylation study. This report should assist you to get a general picture of the study and to spot any irregularities in the sample or data. Additional data is provided with Full Bioinformatic Analysis package.


        General Statistics

        Showing 83/166 rows and 6/23 columns.
        Sample Name # Reads% Uniquely Aligned% BS Conversion (Non-CpG)% BS Conversion (Spike-in)Uniq. CpGAvg. CpG Coverage
        in3670_13
        27940127
        51.7%
        98.1%98.5%
        7736919
        6X
        in3670_13_R2
        in3670_14
        45160784
        56.2%
        98.5%99.0%
        8929145
        10X
        in3670_14_R2
        in3670_15
        23799255
        56.9%
        98.7%99.0%
        8099869
        6X
        in3670_15_R2
        in3670_16
        41229206
        56.4%
        98.8%99.1%
        9125299
        9X
        in3670_16_R2
        in3670_17
        37930088
        57.2%
        98.9%99.2%
        9007364
        9X
        in3670_17_R2
        in3670_18
        40856257
        59.1%
        99.0%99.3%
        9189420
        10X
        in3670_18_R2
        zr9490_109
        44829490
        55.6%
        98.6%99.2%
        10168079
        9X
        zr9490_109_R2
        zr9490_119
        28627628
        44.7%
        97.7%98.8%
        7963729
        6X
        zr9490_119_R2
        zr9490_17
        40012243
        52.7%
        98.2%99.0%
        8998817
        8X
        zr9490_17_R2
        zr9490_181
        35232941
        36.0%
        98.5%99.2%
        8789765
        5X
        zr9490_181_R2
        zr9490_182
        45472150
        49.8%
        98.5%99.1%
        9911348
        8X
        zr9490_182_R2
        zr9490_183
        29638416
        52.6%
        98.5%99.1%
        9352016
        6X
        zr9490_183_R2
        zr9490_184
        48206799
        50.3%
        98.0%99.1%
        9691237
        9X
        zr9490_184_R2
        zr9490_185
        34638960
        47.6%
        98.0%98.8%
        8991393
        6X
        zr9490_185_R2
        zr9490_187
        46154329
        51.4%
        98.5%99.1%
        9518474
        9X
        zr9490_187_R2
        zr9490_189
        28299510
        40.6%
        97.7%98.8%
        7627226
        5X
        zr9490_189_R2
        zr9490_19
        30116306
        53.5%
        98.2%98.9%
        8760665
        7X
        zr9490_190
        31752348
        36.0%
        97.7%98.8%
        7364388
        5X
        zr9490_190_R2
        zr9490_191
        22561525
        47.4%
        98.0%98.9%
        8016635
        5X
        zr9490_191_R2
        zr9490_192
        26255165
        47.3%
        98.2%99.1%
        7891596
        6X
        zr9490_192_R2
        zr9490_193
        36876177
        47.8%
        98.5%99.2%
        8536367
        8X
        zr9490_193_R2
        zr9490_194
        27926970
        42.9%
        97.8%98.9%
        7460537
        6X
        zr9490_194_R2
        zr9490_195
        29860873
        49.1%
        98.5%99.1%
        8830901
        6X
        zr9490_195_R2
        zr9490_196
        27146310
        49.1%
        98.1%99.0%
        8539247
        5X
        zr9490_196_R2
        zr9490_197
        37299060
        39.1%
        97.3%98.7%
        7681186
        6X
        zr9490_197_R2
        zr9490_198
        17773555
        37.9%
        97.5%98.6%
        6654879
        3X
        zr9490_198_R2
        zr9490_199
        36435699
        47.3%
        98.2%99.1%
        8647956
        7X
        zr9490_199_R2
        zr9490_19_R2
        zr9490_200
        21954839
        45.7%
        97.1%98.7%
        7303928
        5X
        zr9490_200_R2
        zr9490_201
        45666739
        48.9%
        98.2%99.2%
        9681610
        8X
        zr9490_201_R2
        zr9490_202
        26255255
        42.2%
        98.0%99.0%
        7825593
        5X
        zr9490_202_R2
        zr9490_203
        36624408
        50.5%
        98.1%99.2%
        10353211
        7X
        zr9490_203_R2
        zr9490_204
        36710427
        54.2%
        98.5%99.3%
        10073595
        7X
        zr9490_204_R2
        zr9490_205
        35201348
        45.8%
        97.4%98.5%
        8501543
        6X
        zr9490_205_R2
        zr9490_206
        29334826
        53.6%
        97.9%98.7%
        8319529
        6X
        zr9490_206_R2
        zr9490_25
        44833355
        51.7%
        98.3%99.1%
        8825923
        10X
        zr9490_25_R2
        zr9490_26
        31905387
        53.2%
        98.2%98.9%
        8687467
        7X
        zr9490_26_R2
        zr9490_3
        46898917
        53.8%
        98.5%99.1%
        9388066
        10X
        zr9490_32
        34935921
        48.5%
        96.4%97.9%
        7754663
        7X
        zr9490_32_R2
        zr9490_33
        33843155
        51.3%
        98.3%99.0%
        8698734
        7X
        zr9490_33_R2
        zr9490_34
        41796565
        51.3%
        98.0%98.9%
        8919200
        8X
        zr9490_34_R2
        zr9490_35
        35092914
        50.0%
        96.9%98.4%
        8219675
        7X
        zr9490_35_R2
        zr9490_36
        29701702
        48.1%
        96.2%98.0%
        7650640
        6X
        zr9490_36_R2
        zr9490_3_R2
        zr9490_4
        35418772
        47.8%
        98.1%99.0%
        8566605
        7X
        zr9490_41
        37290770
        51.3%
        97.9%98.9%
        8404216
        8X
        zr9490_41_R2
        zr9490_43
        43898239
        55.2%
        98.5%99.1%
        9177277
        10X
        zr9490_43_R2
        zr9490_46
        28939869
        49.7%
        97.7%98.6%
        8070402
        6X
        zr9490_46_R2
        zr9490_47
        38564769
        52.9%
        97.7%98.5%
        8718273
        8X
        zr9490_47_R2
        zr9490_48
        33025337
        52.1%
        97.9%98.8%
        8532454
        7X
        zr9490_48_R2
        zr9490_49
        35063225
        50.5%
        97.2%98.3%
        8139626
        7X
        zr9490_49_R2
        zr9490_4_R2
        zr9490_50
        27269567
        46.7%
        96.3%97.7%
        7154498
        6X
        zr9490_50_R2
        zr9490_51
        34498573
        48.2%
        96.7%98.1%
        7863847
        7X
        zr9490_51_R2
        zr9490_52
        46047835
        50.3%
        97.6%98.7%
        8987786
        9X
        zr9490_52_R2
        zr9490_53
        33360453
        48.5%
        97.1%98.4%
        8110565
        7X
        zr9490_53_R2
        zr9490_54
        36514003
        49.1%
        97.6%98.7%
        8611393
        7X
        zr9490_54_R2
        zr9490_55
        32042295
        51.9%
        98.0%98.8%
        8586037
        7X
        zr9490_55_R2
        zr9490_56
        38112367
        47.9%
        95.7%97.4%
        7385122
        8X
        zr9490_56_R2
        zr9490_58
        46045149
        49.3%
        96.9%98.3%
        8862945
        9X
        zr9490_58_R2
        zr9490_59
        28180488
        46.9%
        94.9%96.7%
        7342783
        6X
        zr9490_59_R2
        zr9490_60
        41120265
        54.4%
        98.1%98.9%
        9452002
        8X
        zr9490_60_R2
        zr9490_61
        28866441
        48.4%
        97.0%98.1%
        7952845
        6X
        zr9490_61_R2
        zr9490_62
        34407610
        48.9%
        97.2%98.5%
        7958796
        7X
        zr9490_62_R2
        zr9490_63
        43393390
        54.9%
        97.9%98.8%
        9307361
        9X
        zr9490_63_R2
        zr9490_64
        30599325
        55.0%
        97.9%98.8%
        8649741
        7X
        zr9490_64_R2
        zr9490_65
        44501412
        53.9%
        98.6%99.2%
        9357482
        10X
        zr9490_65_R2
        zr9490_68
        40519438
        51.4%
        98.1%98.9%
        8794769
        8X
        zr9490_68_R2
        zr9490_69
        37338070
        54.4%
        98.5%99.1%
        8900869
        8X
        zr9490_69_R2
        zr9490_73
        35713998
        47.9%
        97.1%98.5%
        7403691
        7X
        zr9490_73_R2
        zr9490_74
        35408827
        49.5%
        97.1%98.3%
        7915082
        7X
        zr9490_74_R2
        zr9490_75
        35371962
        53.0%
        97.9%98.8%
        8698793
        7X
        zr9490_75_R2
        zr9490_76
        34435008
        55.7%
        98.5%99.2%
        9031732
        8X
        zr9490_76_R2
        zr9490_77
        44616542
        52.8%
        98.0%98.9%
        8834449
        9X
        zr9490_77_R2
        zr9490_79
        37928926
        56.2%
        98.4%99.1%
        9177146
        8X
        zr9490_79_R2
        zr9490_80
        42346758
        49.0%
        96.6%98.0%
        7996354
        8X
        zr9490_80_R2
        zr9490_81
        17801405
        48.8%
        96.4%97.6%
        6477379
        4X
        zr9490_81_R2
        zr9490_82
        46064190
        50.6%
        97.6%98.7%
        8952878
        9X
        zr9490_82_R2
        zr9490_83
        32657176
        47.5%
        97.5%98.6%
        8752405
        6X
        zr9490_83_R2
        zr9490_84
        28391061
        51.9%
        97.8%98.7%
        8072856
        6X
        zr9490_84_R2
        zr9490_85
        35979956
        49.9%
        97.4%98.5%
        8327135
        7X
        zr9490_85_R2
        zr9490_86
        21830653
        50.5%
        98.5%99.1%
        7758517
        6X
        zr9490_86_R2
        zr9490_87
        37684161
        53.0%
        98.3%98.9%
        8744798
        8X
        zr9490_87_R2
        zr9490_88
        43176735
        54.6%
        98.7%99.2%
        9942176
        9X
        zr9490_88_R2
        zr9490_89
        39722952
        58.3%
        98.7%99.2%
        11212252
        7X
        zr9490_89_R2
        zr9490_90
        41696278
        58.0%
        98.7%99.2%
        11178896
        8X
        zr9490_90_R2

        Cutadapt

        Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

        Trimmed Sequence Lengths

        This plot shows the number of reads with certain lengths of adapter trimmed.

        Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak may be related to adapter length.

        See the cutadapt documentation for more information on how these numbers are generated.

        loading..

        Filtered Reads

        This plot shows the number of reads (single-end) or read pairs (paired-end) passing filters.

        loading..

        FastQC (trimmed)

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

        This section of the report shows FastQC results after adapter and quality trimming.

        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.

        loading..

        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.

        loading..

        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.

        loading..

        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.

        loading..

        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.

        No samples found with any adapter contamination > 0.1%

        Bismark

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

        Alignment Rates

        loading..

        Strand Alignment

        loading..

        M-Bias

        This plot shows the average percentage methylation and coverage across reads. See the bismark user guide for more information on how these numbers are generated.

        loading..

        Insert Size

        This section of the report has a plot, generated by Picard, that shows the number of reads at a given insert size. Reads with different orientation are summed.

        loading..

        CpG Coverage

        CpG Coverage shows the distribution of the detected CpG coverage in each library.

        loading..

        Genomic Region Coverage

        This section presents the percentage of a certain type of genomic functional region that is covered in each RRBS library, categorized by coverage. The genomic functional region of interest includes CpG islands, gene promoters, and gene bodies. These regions are derived from public annotation files of the reference assemblies.

        Gene Body

        Gene Body Coverage shows the distribution of the number of individual CpG methylation measurements in gene bodies genome wide.

        loading..

        Promoter

        Promoter Coverage shows the distribution of the number of individual CpG methylation measurements in promoters genome wide.

        loading..

        CpG Island

        CpG Island Coverage shows the distribution of the number of individual CpG methylation measurements in GpG islands genome wide.

        loading..

        Promoter Profile

        Accumulated view of the distribution of methylation percentages around annotated genes. Distances on the x-axis are relative to the nearest TSS. Promoter methylation values were generated using deepTools.

        loading..

        Bismark (spike-in)

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

        This section of the report shows Bismark results for spike-in reads.

        Strand Alignment

        loading..

        Samtools (spike-in)

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

        This section of the report shows Samtools results for spike-in reads.

        Mapped reads per contig

        The samtools idxstats tool counts the number of mapped reads per chromosome / contig. Chromosomes with < 0.1% of the total aligned reads are omitted from this plot.

        loading..

        MethylDackel (spike-in)

        MethylDackel is a per-base methylation metrics extraction tool for BAM file with BS-seq alignments.

        This section of the report shows the average methylation ratio per contig for spike-in reads.

        Correlation Scatter Plot

        This plot shows the correlation trend between observed and expected values.

        loading..

        Correlation Table

        This table shows the Pearson's Correlation Coefficient for each sample.

        Showing 83/83 rows.
        Sample NameCorrelation Coefficient
        in3670_130.993
        in3670_140.992
        in3670_150.976
        in3670_160.988
        in3670_170.979
        in3670_180.976
        zr9490_1090.984
        zr9490_1190.992
        zr9490_170.990
        zr9490_1810.955
        zr9490_1820.984
        zr9490_1830.969
        zr9490_1840.986
        zr9490_1850.986
        zr9490_1870.977
        zr9490_1890.990
        zr9490_190.985
        zr9490_1900.992
        zr9490_1910.990
        zr9490_1920.989
        zr9490_1930.985
        zr9490_1940.992
        zr9490_1950.976
        zr9490_1960.989
        zr9490_1970.995
        zr9490_1980.992
        zr9490_1990.990
        zr9490_2000.989
        zr9490_2010.985
        zr9490_2020.992
        zr9490_2030.979
        zr9490_2040.979
        zr9490_2050.993
        zr9490_2060.991
        zr9490_250.991
        zr9490_260.987
        zr9490_30.984
        zr9490_320.998
        zr9490_330.992
        zr9490_340.994
        zr9490_350.996
        zr9490_360.997
        zr9490_40.992
        zr9490_410.992
        zr9490_430.987
        zr9490_460.994
        zr9490_470.993
        zr9490_480.992
        zr9490_490.994
        zr9490_500.997
        zr9490_510.997
        zr9490_520.994
        zr9490_530.993
        zr9490_540.991
        zr9490_550.989
        zr9490_560.996
        zr9490_580.997
        zr9490_590.998
        zr9490_600.994
        zr9490_610.993
        zr9490_620.990
        zr9490_630.997
        zr9490_640.989
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        Download

        This section contains links to download trimmed fastq files, data and/or images generated by various bioinformatics tools. To download individual files, click on the corresponding links. The links will expire in 90 days.

        Showing 83/83 rows and 6/6 columns.
        Sample NameTrimmed Fastq R1Trimmed Fastq R2AlignmentDNA Methylation CallingBrowser TrackMethylation Distribution
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        Instructions to download all files

      • Click here to obtain the code to download all the files. We assume it is in your Download folder.
      • Find and open Terminal (Mac/Linux) or Windows Powershell (Windows).
      • Type cd ~/Download and Enter. If the code is downloaded to a different location, change ~/Download to the path to that folder.
      • Type bash download_links.ps1 (Mac/Linux) or Powershell.exe -ExecutionPolicy Bypass -File .\download_links.ps1 (Windows) and Enter.

      • Summary

        Library Type
        Methyl-MiniSeq
        Directionality
        Non-directional
        Genome
        hg19
        Trimming
        5'R1: 0bp / 5'R2: 0bp / Illumina adapter / RRBS: On

        Software Versions

        Versions are collected at run time from the software output.

        fastqc
        0.11.9
        trimgalore
        0.6.4_dev
        bismark
        0.22.3
        picard
        2.23.8
        samtools
        1.9
        methyldackel
        0.5.0
        ucsc-bedgraphtobigwig
        377
        deeptools
        3.5.1
        nextflow
        21.10.6
        pipeline
        null