Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • flobpf
    Member
    • Apr 2010
    • 76

    #1

    High duplication levels in FASTQC

    Hi,

    I was using FASTQC to QC my directional mRNA-Seq data obtained from suspension culture cells. I have about 30 million reads.

    Although most of my QC stats are fine, I see a big uptick in the "Duplicate sequences" section of sequences with duplication levels > 10 (see below). Sequence Duplication Level >84.56%.

    I was wondering what could be wrong. There were 2 possibilities I could think of:
    1) Some amplification bias in PCR and/or
    2) Since the RNA is not very diverse (its from suspension cells - same cell type) and sequenced to a high coverage, many sequences got sequenced multiple times.

    Wonder if the second reason makes sense? If it is true, by extension, it also means that we have successfully sequenced even the very low abundance transcripts. However, if it was PCR bias, that wouldnt be true. Wonder if there is a way to distinguish between these two possibilities?

    I'd appreciate any suggestions.

    Thanks
  • volks
    Member
    • Jun 2010
    • 80

    #2
    have a look at the alignments and you will know. generally i wouldnt trust fastqc duplication levels for mRNA seq too much ..

    Comment

    • simonandrews
      Simon Andrews
      • May 2009
      • 870

      #3
      The overall duplication level reported by FastQC needs to be taken in context with the shape of the profile you're seeing and also the results of the overrepresented sequence plot. There's a big difference between having a generally oversequenced sample (which often happens with RNA-Seq so you can see low expressed transcripts), and having a small number of sequences accounting for large chunks of your library.

      What FastQC can't do is to put the duplication in any kind of context. For libraries with expected uneven coverage (such as RNA-Seq) you'd need to look at the positions of the mapped data to see if you were getting even coverage over highly duplicated regions, which would suggest you simply have really high coverage, or duplicated patchy coverage which would indicate a techinical problem.

      If you haven't seen it already I wrote up a more detailed explanation of this on my blog since this is such a common thing to come up (the duplicate sequence plot is probably the least intuitive module to interpret in the FastQC output).

      Comment

      • arcolombo698
        Senior Member
        • Nov 2013
        • 142

        #4
        Fast QC Duplication

        Hello.

        I read your blog http://proteo.me.uk/2011/05/interpre...lot-in-fastqc/

        and find it helpful. I have the same problem.

        So at the end of the blog you mentioned to consider the per base quality plot to gain a realistic assessment of the duplication.

        In my case: My per base sequence quality is great. but I have the same image posted above, what does this imply?

        If my per base sequence quality passes, and I have a high sequence duplication levels, caused by the overrepresented sequence TrueSeq Adapter, can I then conclude that the quality is okay?

        Thank you

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Multiomic Liquid Biopsy: What DNA/RNA Panels Reveal That DNA Alone Can’t
          by SEQadmin2



          Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?

          Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating
          ...
          10-14-2026, 09:55 AM
        • SEQadmin2
          New Genomics Technologies Take Aim at Long-Standing Limits
          by SEQadmin2


          Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

          We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
          ...
          09-28-2026, 10:25 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 10-22-2026, 11:13 AM
        0 responses
        28 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 10:48 AM
        0 responses
        21 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-15-2026, 10:52 AM
        0 responses
        38 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-14-2026, 05:39 AM
        0 responses
        44 views
        0 reactions
        Last Post SEQadmin2  
        Working...