Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • baldeberre
    Junior Member
    • Aug 2009
    • 4

    #1

    SAM to GFF v0.2

    Hello All,

    I'm trying to convert the SAM mapping output to a GFF v0.2 file in order to use diBayes. I am having trouble figuring out how GFF v0.2 keeps track of indels. Information about mismatches can be presented in the 'g' and 'r' attributes, but I cannot figure out how does the "Corrected base space representation" represents indels (or if it's even supposed to).

    Any help/tips will be greatly appreciated.
  • Simon Anders
    Senior Member
    • Feb 2010
    • 995

    #2
    Indels are represented by the CIGAR string. a 36-bp read with out indels would have CIGAR string "36M". If there is, say, an insertion of 5 bp after 10 bp, you have "10M5I21M".

    In case this is of use: My HTSeq Python framework has a convenient parser for SAM files that also helps you deal with the CIGAR strings.

    Comment

    • baldeberre
      Junior Member
      • Aug 2009
      • 4

      #3
      Simon, thanks for your input. I'm sorry I wasn't more clear. I can parse the SAM file without a problem, I'm just trying to figure out how to incorporate the information about indels contained in the CIGAR field of the SAM file into the "Corrected base space" of the GFF v0.2 format.

      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
      25 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 10-22-2026, 10:48 AM
      0 responses
      20 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...