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  • mjouret
    Junior Member
    • Dec 2009
    • 2

    Whole genome assembly of cDNA with Illumina paired-end sequencing

    Does anybody know an opensource software package for whole genome assembly of cDNA with Illumina paired-end sequencing? I'm really looking for an assembler designed for cDNA data, not DNA. I don't think that programs like Velvet or SSAKE can deal with this kind of data (I may be wrong). MIRA seems OK but it is not quite clear whether it takes the "paired-end" feature into account when assembling cDNA data. Any help is much appreciated !!
  • maubp
    Peter (Biopython etc)
    • Jul 2009
    • 1544

    #2
    I don't understand your question - cDNA is just a small part of a whole genome. Are you talking about an EST assembly of the transcriptome (i.e. extract mRNA, covert to cDNA, sequence it, assemble it).

    Comment

    • Zigster
      Jeremy Leipzig
      • May 2009
      • 115

      #3
      yeah I assume he means transcriptome assembly

      velvet has an attachment called oases, still in beta, but it seems to produce interesting results. I believe abyss also has something like this in the works.
      --
      Jeremy Leipzig
      Bioinformatics Programmer
      --
      My blog
      Twitter

      Comment

      • mjouret
        Junior Member
        • Dec 2009
        • 2

        #4
        Thx Zigster. Yes I mean the transcriptome assembly. After some research, it seems that MIRA can deal with this kind of data (EST + paired end + short read). I saw in several papers that CAP3 was used on the assembled contigs (to get larger contigs). Is this a good idea ? Do you have any advice ?

        Comment

        • Zigster
          Jeremy Leipzig
          • May 2009
          • 115

          #5
          if you have 100M short reads I would give those to Velvet and then use those contigs in an alignment based program like you mentioned

          i like Mira but the parameter setup is a hassle. Prepare to set aside a couple hours to read the manual.
          --
          Jeremy Leipzig
          Bioinformatics Programmer
          --
          My blog
          Twitter

          Comment

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