Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • analog900
    Member
    • Oct 2014
    • 13

    #1

    Decoding DNA barcodes within PCR amplicons

    Hi all,

    Has anybody experience with decoding barcoded DNA sequences? We're sequencing PCR amplicons, all identical except for a (custom) 10nt barcode, flanked by transgenic cassettes.

    Like this: ----Cassette1---barcode---Cassette2------

    So far I've been considering:
    1. Generate a custom reference (containing entries for all transgenic cassettes [1,2,etc]) for STAR, but then all (interesting) reads would end up being multimappers. Then postprocess with custom code.

    2. Generate a single custom reference with a single barcode. Allow up to x mismatches during alignment (to allow for the different barcodes) and then postprocess the passing reads with custom code.

    I'd like to avoid custom-coding (and reinventing the wheel) as much as possible obviously.
    Appreciate any ideas. Thanks in advance!
  • avierstr
    Member
    • Apr 2012
    • 18

    #2
    Not 100% clear what you want ?
    Do you want to split your reads based on the "internal" barcode, and than postprocess the reads with the same barcodes separately ?

    If that is the case, I have a python 3.5 script that can search for partial sequence in a sequence (fasta or fastq) and writes them in separate files.

    Comment

    • fanli
      Senior Member
      • Jul 2014
      • 197

      #3
      QIIME's split_libraries_fastq.py script can probably do what you want. You can pretty easily create an index FASTQ file of your 10nt barcodes, if you don't already have one.

      Comment

      • analog900
        Member
        • Oct 2014
        • 13

        #4
        Originally posted by fanli View Post
        QIIME's split_libraries_fastq.py script can probably do what you want. You can pretty easily create an index FASTQ file of your 10nt barcodes, if you don't already have one.
        Thanks! This might just work. I'll look into it. Thanks again! Appreciate it!

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          16S/ITS Profiling vs. Shotgun Metagenomics: What Changes in Your Workflow?
          by SEQadmin2




          NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...
          Yesterday, 06:46 AM
        • 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

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 10-28-2026, 09:57 AM
        0 responses
        26 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-28-2026, 09:51 AM
        0 responses
        17 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 11:13 AM
        0 responses
        71 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 10-22-2026, 10:48 AM
        0 responses
        48 views
        0 reactions
        Last Post SEQadmin2  
        Working...