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  • Zimbobo
    Member
    • Mar 2010
    • 25

    #1

    best way to close gaps in genome with single reads

    What is the best way to close gaps (stretches of Ns) in a genome with single reads and also combine contigs/scaffolds.
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    Get more sequencing done.

    It may even be cost effective in some cases to design primers and use "Sanger" capillary sequencing to target theses specific gaps or confirm particular contig junctions.

    If you're doing more high throughput, I'd consider a paired end library - using a different insert length if you've already got some paired end data.

    Comment

    • Zimbobo
      Member
      • Mar 2010
      • 25

      #3
      I actually meant in silico since I have a draft genome and additional single reads already. I thought of using velvet, the contigs from the draft genome as long reads and add the reads I have in addition, but was wondering whether there are any other (better) ideas out there. Thanks in advance for any suggestion.

      Comment

      • colindaven
        Senior Member
        • Oct 2008
        • 417

        #4
        Difficult. You really want paired end reads. (Very) long reads, eg Pac Bio, would be useful too.

        There are a already a number of threads on this site about genome assembly strategies.

        One suggestion - create contig sets from original reads, then new reads separately eg Velvet.
        Trim to 1999bp.
        Input into Newbler.

        Comment

        • Linnea
          Member
          • Mar 2010
          • 23

          #5
          Have you tried GapCloser from the SOAP package? I could close/remove ~80% of the Ns in a 1Gb draft assembly by using paired end reads with inserts of 200-500bp.

          Of course, whether it will work or not depends a lot on the genome content, how long the stretches of N are and if the regions around it is hard to map to or not, but it might be worth a try?


          Edit: Sorry - I missed the part where it said "single reads".. A bit more tricky then... :/

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