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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 1.6.dev0 (cf22b32)

        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 2018-07-13, 18:18 based on data in: /home/nservant/GIT/MultiQC_TestData/data/modules/hicpro/hicpro-hic


        General Statistics

        Showing 2/2 rows and 3/11 columns.
        Sample NameM Valid Pairs UniqueReported Read PairsTotal
        dixon_2M
        0.1
        0.2
        0.2
        dixon_2M_2
        0.1
        0.2
        0.2

        HiC-Pro

        HiC-Pro is an efficient and flexible pipeline for Hi-C data processing. The MultiQC module is supported since HiC-Pro v2.11.0.

        Read Mapping

        Alignment of reads in single-end mode.

        HiC-Pro uses a two steps mapping strategy. End-to-end mapping is first performed (Full reads Alignments). Unmapped reads are then trimmed at their ligation site, and the 5' end is re-aligned on the reference genome (Trimmed Reads Alignments)

           
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        Read Pairing

        Pairing of single-end mapping.

        HiC-Pro combines aligned reads as pairs. Singleton, low quality pairs or pairs involving multi-mapped reads are usually discarded. Note that the filtering at pairing level can change accrding to the parameters used.

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        Read Pair Filtering

        Filtering of read pairs.

        Aligned read pairs are filtered to select valid 3C products from two different restriction fragments. Read pairs coming from the same fragments, such as self-ligation or unligated (danging-end) fragments, are discarded. Ligation products involving neighboring restriction fragment (religation) are also discarded. Finaly, as the ligation should be a random process, valid read pairs from all orientations (R=Reverse, F=forward) are expected to be observed at the same proportion.

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        Contact Statistics

        Contacts statistics after duplicates removal.

        Description of contact frequency after duplicates removal. Intra-chromosomal (cis) interaction are expected to be more frequent than inter-chromosomal contacts (trans)

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