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        Note that additional data was saved in multiqc_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 1.5

        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

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

        Report generated on 2018-04-06, 16:47 based on data in: /Users/bebatut/Documents/galaxy/tools/tools-iuc/tools/multiqc/multiqc_WDir


        General Statistics

        Showing 15/15 rows and 14/15 columns.
        Sample Name% AlignedM Pairs% Used pairs% MappedMin RE distMax RE distFrag LengthM Aligned% AlignedM Aligned% Aligned% AlignedM Aligned% Trimmed
        HS002-PE-R00059_BD0U5YACXX.RHM066_CGATGT_L002_R1
        5.9%
        HS002-PE-R00059_BD0U5YACXX.RHM066_CGATGT_L002_R1_val_1
        83.7%
        167.9bp
        48.5
        HS002-PE-R00059_BD0U5YACXX.RHM066_CGATGT_L002_R2
        31.0%
        HS002-PE-R00059_BD0U5YACXX.RHM067_CAGATC_L002_R1
        7.7%
        HS002-PE-R00059_BD0U5YACXX.RHM067_CAGATC_L002_R1_val_1
        84.5%
        169.4bp
        59.3
        HS002-PE-R00059_BD0U5YACXX.RHM067_CAGATC_L002_R2
        32.2%
        bismark_SE_report
        69.7%
        bowtie2_1
        98.3%
        bowtie2_2
        98.3%
        hicexplorer_hicexplorer1_small_test
        0.1
        37.3%
        91.2%
        303 bp
        800 bp
        hicexplorer_hicexplorer2_small_test_rf
        0.1
        35.9%
        91.2%
        152 bp
        1500 bp
        hisat2_1
        96.2%
        hisat2_2
        96.2%
        star_log
        89.0%
        0.0
        tophat_align
        99.5%
        0.3

        Bismark

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

        Alignment Rates

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        Strand Alignment

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        HiCExplorer

        HiCExplorer addresses the common tasks of Hi-C analysis from processing to visualization.

        Mapping statistics

        This shows how the sequenced read pairs were mapped and those filtered due to mapping problems.

        • Pairs mappable, unique and high quality
          • The count of reads that were considered as valid reads and were not one of the following:
        • One mate unmapped
          • Filtered out read because one mate was not mapped.
        • One mate not unique
          • Filtered out read because one mate was not unique.
        • One mate low quality
          • Filtered out because one mate was having a low quality.
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        Read filtering

        This figure contains the number of reads that were finally used to build the Hi-C matrix along with the reads that where filtered out.

        • Dangling ends
          • These are reads that start with the restriction site and constitute reads that were digested but no ligated.
        • Same fragment
          • These are read mates, facing inward, separated by up to 800 bp that do not have a restriction enzyme in between.
          • These read pairs are not valid Hi-C pairs.
        • Self circle
          • Self circles are defined as pairs within 25kb with 'outward' read orientation
        • Self ligation
          • These are read pairs with a restriction site in between that are within 800 bp.
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        Contact distance

        This figure contains information about the distance and location of the valid pairs used.

        • Long range
          • Pairs with a distance greater than 20 kilobases
        • Short range
          • Pairs with a distance less than 20 kilobases
        • Inter chromosomal
          • Interchromosomal pairs.
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        Read orientation

        This figure contains information about the orientation of the read pairs.

        • Inward pairs
          • First mate is a forward read, second is reverse.
          • ---------------> <----------------
        • Outward pairs
          • First mate is a reverse read, second is forward.
          • ---------------> <----------------
        • Left pairs
          • Both are reverse reads.
          • <--------------- <----------------
        • Right pairs
          • Both are forward reads.
          • ---------------> ---------------->
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        Kallisto

        Kallisto is a program for quantifying abundances of transcripts from RNA-Seq data.

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        STAR

        STAR is an ultrafast universal RNA-seq aligner.

        Alignment Scores

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        Gene Counts

        Statistics from results generated using --quantMode GeneCounts. The three tabs show counts for unstranded RNA-seq, counts for the 1st read strand aligned with RNA and counts for the 2nd read strand aligned with RNA.

           
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        HISAT2

        HISAT2 is a fast and sensitive alignment program for mapping NGS reads (both DNA and RNA) against a reference genome or population of reference genomes.

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        Tophat

        Tophat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes.

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        Bowtie 2

        Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences.

        This plot shows the number of reads aligning to the reference in different ways.

        There are 3 possible types of alignment: SE Mapped uniquely: Read has only one occurence in the reference genome. SE Multimapped: Read has multiple occurence. * SE No aligned: Read has no occurence.

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        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.

        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.

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