HTSMultiQC-cleaning-report

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        Note that additional data was saved in HTSMultiQC-cleaning-report_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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        Please remember to cite the tools that you use in your analysis.

        To help with this, you can download publication details of the tools mentioned in this report:

        About MultiQC

        This report was generated using MultiQC, version 1.13.dev0

        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

        HTSMultiQC-cleaning-report

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-06-19, 12:04 PDT based on data in: /share/workshop/mrnaseq_workshop/bnjenner/rnaseq_example/01-HTS_Preproc


        HTStream

        HTStream quality control and processing pipeline for High Throughput Sequencing data.DOI: .

        Processing Overview

        Plots reduction of reads and basepairs across the preprocessing pipeline.

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        Stats

        Generates a JSON formatted file containing a set of statistical measures about the input read data.

        Notes: initial stats
        Showing 22/22 rows and 4/5 columns.
        Sample Name% R1 Q30% R2 Q30GC ContentN Content
        mouse_110_WT_C
        91.17%
        83.13%
        52.92%
        0.0010%
        mouse_110_WT_NC
        91.60%
        88.51%
        51.47%
        0.0012%
        mouse_148_WT_C
        93.02%
        87.44%
        51.34%
        0.0011%
        mouse_148_WT_NC
        90.50%
        86.38%
        52.19%
        0.0010%
        mouse_158_WT_C
        92.98%
        89.09%
        50.91%
        0.0008%
        mouse_158_WT_NC
        92.43%
        86.56%
        52.33%
        0.0009%
        mouse_183_KOMIR150_C
        93.14%
        87.45%
        51.91%
        0.0009%
        mouse_183_KOMIR150_NC
        91.48%
        82.11%
        54.19%
        0.0009%
        mouse_198_KOMIR150_C
        93.11%
        88.20%
        51.73%
        0.0011%
        mouse_198_KOMIR150_NC
        92.75%
        88.15%
        51.53%
        0.0009%
        mouse_206_KOMIR150_C
        90.60%
        72.35%
        56.37%
        0.0009%
        mouse_206_KOMIR150_NC
        86.34%
        77.66%
        56.02%
        0.0008%
        mouse_2670_KOTet3_C
        92.82%
        88.06%
        51.27%
        0.0007%
        mouse_2670_KOTet3_NC
        92.57%
        88.49%
        51.13%
        0.0009%
        mouse_7530_KOTet3_C
        92.75%
        86.49%
        51.62%
        0.0011%
        mouse_7530_KOTet3_NC
        92.06%
        86.86%
        51.13%
        0.0008%
        mouse_7531_KOTet3_C
        91.41%
        86.24%
        51.24%
        0.0007%
        mouse_7532_WT_NC
        93.26%
        87.83%
        51.32%
        0.0009%
        mouse_H510_WT_C
        92.09%
        85.76%
        52.19%
        0.0008%
        mouse_H510_WT_NC
        92.06%
        88.84%
        51.00%
        0.0010%
        mouse_H514_WT_C
        91.22%
        84.00%
        52.66%
        0.0009%
        mouse_H514_WT_NC
        92.70%
        86.45%
        51.26%
        0.0010%

        Read Lengths: Paired End

        Distribution of read lengths for each sample.

        Notice: Each sample has a uniform read length distribution.
        Showing 22/22 rows and 2/2 columns.
        Sample NameR1 Read LengthsR2 Read Lengths
        mouse_110_WT_C
        101
        101
        mouse_110_WT_NC
        101
        101
        mouse_148_WT_C
        101
        101
        mouse_148_WT_NC
        101
        101
        mouse_158_WT_C
        101
        101
        mouse_158_WT_NC
        101
        101
        mouse_183_KOMIR150_C
        101
        101
        mouse_183_KOMIR150_NC
        101
        101
        mouse_198_KOMIR150_C
        101
        101
        mouse_198_KOMIR150_NC
        101
        101
        mouse_206_KOMIR150_C
        101
        101
        mouse_206_KOMIR150_NC
        101
        101
        mouse_2670_KOTet3_C
        101
        101
        mouse_2670_KOTet3_NC
        101
        101
        mouse_7530_KOTet3_C
        101
        101
        mouse_7530_KOTet3_NC
        101
        101
        mouse_7531_KOTet3_C
        101
        101
        mouse_7532_WT_NC
        101
        101
        mouse_H510_WT_C
        101
        101
        mouse_H510_WT_NC
        101
        101
        mouse_H514_WT_C
        101
        101
        mouse_H514_WT_NC
        101
        101

        Base by Cycle: Paired End

        Provides a measure of the uniformity of a distribution. The higher the average deviation from 25% is, the more unequal the base pair composition. N's are excluded from this calculation.

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        Quality by Cycle: Paired End

        Mean quality score for each position along the read. Sample is colored red if less than 60% of bps have mean score of at least Q30, orange if between 60% and 80%, and green otherwise.

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        SeqScreener

        A simple sequence screening tool which uses a kmer lookup approach to identify reads from an unwanted source.

        Notes: screen phix
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        SeqScreener 2

        A simple sequence screening tool which uses a kmer lookup approach to identify reads from an unwanted source.

        Notes: count the number of rRNA reads
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        SuperDeduper

        A reference free duplicate read removal tool.

        Notes: remove PCR duplicates
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        AdapterTrimmer

        Trims adapters which are sequenced when the fragment insert length is shorter than the read length.

        Notes: trim adapters
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        PolyATTrim

        Attempts to trim poly-A and poly-T sequences from the end of reads.

        Notes: remove polyAT
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        NTrimmer

        Trims reads to the longest subsequence that contains no N's.

        Notes: remove any remaining N characters
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        QWindowTrim

        Uses a sliding window approach to remove the low quality ends of reads.

        Notes: quality trim the ends of reads
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        LengthFilter

        Discards reads below a minimum length threshold.

        Notes: remove reads < 50bp
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        Stats 2

        Generates a JSON formatted file containing a set of statistical measures about the input read data.

        Notes: final stats
        Showing 22/22 rows and 4/5 columns.
        Sample Name% R1 Q30% R2 Q30GC ContentN Content
        mouse_110_WT_C
        95.91%
        93.29%
        50.22%
        0.0000%
        mouse_110_WT_NC
        96.16%
        94.53%
        50.26%
        0.0000%
        mouse_148_WT_C
        96.11%
        94.12%
        49.93%
        0.0000%
        mouse_148_WT_NC
        96.10%
        94.15%
        50.17%
        0.0000%
        mouse_158_WT_C
        95.80%
        94.15%
        50.01%
        0.0000%
        mouse_158_WT_NC
        95.91%
        93.77%
        50.22%
        0.0000%
        mouse_183_KOMIR150_C
        96.32%
        94.41%
        50.20%
        0.0000%
        mouse_183_KOMIR150_NC
        96.03%
        93.43%
        50.41%
        0.0000%
        mouse_198_KOMIR150_C
        96.25%
        94.62%
        50.25%
        0.0000%
        mouse_198_KOMIR150_NC
        95.97%
        93.96%
        50.36%
        0.0000%
        mouse_206_KOMIR150_C
        95.23%
        92.27%
        50.02%
        0.0000%
        mouse_206_KOMIR150_NC
        95.13%
        91.85%
        50.23%
        0.0000%
        mouse_2670_KOTet3_C
        95.95%
        94.13%
        50.05%
        0.0000%
        mouse_2670_KOTet3_NC
        95.85%
        94.15%
        50.02%
        0.0000%
        mouse_7530_KOTet3_C
        96.13%
        94.16%
        49.88%
        0.0000%
        mouse_7530_KOTet3_NC
        95.44%
        93.09%
        49.84%
        0.0000%
        mouse_7531_KOTet3_C
        95.87%
        93.26%
        49.75%
        0.0000%
        mouse_7532_WT_NC
        96.27%
        94.62%
        49.85%
        0.0000%
        mouse_H510_WT_C
        96.05%
        94.07%
        49.86%
        0.0000%
        mouse_H510_WT_NC
        96.10%
        94.80%
        49.78%
        0.0000%
        mouse_H514_WT_C
        96.18%
        94.27%
        49.83%
        0.0000%
        mouse_H514_WT_NC
        96.06%
        93.63%
        49.75%
        0.0000%

        Read Lengths: Paired End

        Distribution of read lengths for each sample.

        loading..

        Base by Cycle: Paired End

        Provides a measure of the uniformity of a distribution. The higher the average deviation from 25% is, the more unequal the base pair composition. N's are excluded from this calculation.

        loading..

        Quality by Cycle: Paired End

        Mean quality score for each position along the read. Sample is colored red if less than 60% of bps have mean score of at least Q30, orange if between 60% and 80%, and green otherwise.

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