Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • arcolombo698
    Senior Member
    • Nov 2013
    • 142

    #1

    Using BLAST and Quality Control

    hello.

    So I am trying to trim out duplicate sequences from fastQC, but have come across lots of duplicated sequences for an RNAseq project.

    I have already trimmed out the adapters, and I expect the duplication levels to be higher for an RNAseq experiment.

    Now after QC generates the sequences that are highly represented, how do I determine from BLAST if I should trim out the duplicated sequences, or to keep them?

    I can use trimmomatic to paste the sequences that are dupes, into the adapter.fa file and remove them.

    However some of the sequences that are duplicating are RNA from mitochondria which is interesting to look at.

    but other sequences are relating to RNA from chromosomes 16, 2, X, etc... should I remove these?

    And I found a repeating sequence called, "Homo sapiens unplaced genomic contig, GRCh37.p13 Primary Assembly" .. and am not sure if I should cut this out?
  • kmcarr
    Senior Member
    • May 2008
    • 1181

    #2
    Short answer, do not do any duplicate removal from RNA-Seq data.

    Somewhat longer answer, the purpose of duplicate removal is to eliminate reads duplicated through the PCR amplification step. If you are sequencing genomic DNA and see two identical reads (or read pairs) the probability is extremely high that they are the result of PCR duplication so you should remove all but one copy of the read. For RNA-Seq data you can not assume PCR duplication. In fact the opposite assumption, that they are not the result of PCR duplication but truly independent reads, is the more likely explanation. You should therefore keep all of these identical reads.

    Comment

    • arcolombo698
      Senior Member
      • Nov 2013
      • 142

      #3
      thank you so much. you are correct.

      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, Yesterday, 11:13 AM
      0 responses
      19 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, Yesterday, 10:48 AM
      0 responses
      18 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-15-2026, 10:52 AM
      0 responses
      36 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-14-2026, 05:39 AM
      0 responses
      42 views
      0 reactions
      Last Post SEQadmin2  
      Working...