Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • chongm
    Member
    • Sep 2012
    • 21

    #1

    Strange FASTQC Results - PerSequence GC Content

    Hi Everyone:

    I would be grateful if someone could take a quick look at these FASTQC results. This is exome-seq 100 bp paired-end data. For the most part, FASTQC results seem normal, except a strange distribution for the per sequence GC content graph. From the FASTQC manual, an unusual distribution seems to be suggestive of contamination and a shift in the curve is suggestive of a systematic bias. Could this systematic bias be due to exome enrichment?

    Also there seems to be homopolymer AAAA and TTTT repeats as indicated by the KMER content warning? Can anyone speculate on the source of these homopolymers?

    Thanks,

    MC
    Attached Files
  • kcchan
    Senior Member
    • Jul 2012
    • 186

    #2
    How long were your inserts? When reads go polyA or polyT it may be a sign that it's read through the entire length of the sequence.

    Comment

    • chongm
      Member
      • Sep 2012
      • 21

      #3
      The average insert size was ~360 bp. Why do reads go polyA or polyT when they've read through the entire length of the sequence?

      Comment

      • kcchan
        Senior Member
        • Jul 2012
        • 186

        #4
        If you're using an Illumina instrument (which I'm assuming right now), a poly A stretch is caused by a zero intensity signal, in which case the base will be called an A with 0 quality. Another way to tell if this the problem is too see if your adapters are showing up a lot in your overabundant fragments. This would indicate a amount of adapter/primer dimers which may also cause this problem of reading through the end of the sequence.

        Comment

        • chongm
          Member
          • Sep 2012
          • 21

          #5
          Hi Kcchan,

          Thanks for the explanation, but I don't see any of my adapter sequences found in the overrepresented sequences section of FASTQC results. I only see "AAAAA" and "TTTTT" in this section with counts of 16919295 and 16616150, OBS/EXP overall of 3.44 and 3.09, respectively. FASTQC does not give me a warning for overrepresented sequences and shows these levels to be normal despite giving me a kmer content warning with these same homopolymers.

          Comment

          • Bukowski
            Senior Member
            • Jan 2010
            • 388

            #6
            I have to say I see this homopolymer signal from FastQC in HiSeq exome runs *a lot* but never had a satisfactory explanation for it. Hasn't seemed to impact downstream applications.

            Your GC content will almost always get flagged with FastQC, but I've always assumed part of this is to do with looking only at the exome (rather than unbiased sequence from the genome) however your peak does look unusually distorted from what I would normally expect.

            Comment

            • chongm
              Member
              • Sep 2012
              • 21

              #7
              Thanks for this insight Bukowski. I'll consider the homopolymer signal benign then. But yes the hump is very strange.

              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
              27 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 10-14-2026, 05:39 AM
              0 responses
              34 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 10-13-2026, 09:56 AM
              0 responses
              31 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 10-09-2026, 11:14 AM
              0 responses
              28 views
              0 reactions
              Last Post SEQadmin2  
              Working...