Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • Wilro
    Junior Member
    • Mar 2015
    • 2

    #1

    Fastqc Per sequence quality scores - Two peaks?

    Hi,

    I am struggling to find possible explanations for seeing two distinct peaks in my "per sequence quality scores". I am very new to this, so hope it's not a very silly question. As far as I understand it should not be a major concern, however I would like to understand why this is.

    There is also two peaks for GC content in sequences, with very low adapter content at the end of reads.

    Sanger/Illumina 1.9 encoding
    The sequence data is from an unknown clinical sample from hospital, for the purpose of identifying possible pathogens.

    Kind regards,
    Wilro
    Attached Files
    Last edited by Wilro; 05-20-2017, 03:12 AM. Reason: Added information
  • mastal
    Senior Member
    • Mar 2009
    • 666

    #2
    I wouldn't worry about the two peaks in the per sequence quality scores although it looks a bit unusual.

    Are the reads all the same length if it is Illumina data, or have they already been trimmed by the sequencing center?

    The per sequence GC content is more important, and could indicate contamination, but if you are expecting pathogens in the sample, then it could indicate a mixture of human genome and pathogen genomes perhaps.

    Comment

    • Wilro
      Junior Member
      • Mar 2015
      • 2

      #3
      Reads are all the same length and have not yet been trimmed. Downstream analysis of the data revealed multiple pathogen blast matches, as well as contigs matching to human reference genomes. So your explanation would make perfect sense.

      Thanks for your quick reply

      Comment

      • tirohia
        Member
        • Nov 2011
        • 47

        #4
        I was about to post on exactly the same topic - I've got two peaks, one quite sharp in the GC content across all 12 samples in an experiment. As best I can tell from googling is that contamination is a likely cause.

        The group that sequenced the samples for us though suggest that it may have been caused by the rRNA depletion step on initially poor quality RNA (our samples were borderline, quality -wise going into this). I'm wondering how likely others might think this to be? Or how that would work?

        It's also been suggested that I map the RNA back to the Grch38 and filter, retaining only reads that map back to known genes. Which strikes me as ... dubious, given that if it is contamination, I don't know what the contaminant is.

        Also, if it is contamination, how does one deal with that bioinformatically? Obviously it's going to reduce the validity of any results coming out the other end, but it'd be nice to not have to right off the whole thing.

        Comment

        • nucacidhunter
          Jafar Jabbari
          • Jan 2013
          • 1250

          #5
          GC content double peak in RNA-seq does not automatically imply contamination and it is common. Contamination or residual rRNA presence can be checked by BLAST or mapping. Posting the whole FastQC plots will be useful to diagnose any potential issues.

          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, 10-15-2026, 10:52 AM
          0 responses
          13 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-14-2026, 05:39 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-13-2026, 09:56 AM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 10-09-2026, 11:14 AM
          0 responses
          27 views
          0 reactions
          Last Post SEQadmin2  
          Working...