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  • Consensus Transcriptome

    Hello,

    First time posting here I am attempting to assemble a de novo mammalian transcriptome from Illumina GAII 76bp paired end library. I am looking for suggestions for the best tool to make an consensus (non-redundant) transcriptome from the assembled contigs. That is, I have already assembled the reads into contigs (using Trinity) and now looking for the best tool to take me through the next step, making a consensus transcriptome that is non-redundant that can be used for down stream analyses (multiple sequence aligners, i.e. MUSCLE). I have read up on CAP3, but does anyone have an comments on this, will it produce a non-redundant output?

    Thanks in advance.

  • #2
    I see there hasn't been much of a response here... Did you ever come up with a solution to this problem? I am currently facing the same issue: I just finished some assemblies in Trinity and now I want to try to merge related sequences to get a less redundant 'transcriptome'.

    It seems like using CAP3 next might be a good choice. I was thinking of doing the same based on what I read in this paper:
    Cahais V, Gayral P, Tsagkogeorga G, Melo-Ferreira J, Ballenghien M, et al. (2012) Reference-free transcriptome assembly in non-model animals from next-generation sequencing data. Molecular Ecology Resources.

    I'd love to hear some comments on this approach from anyone who has done it before though.

    Comment


    • #3
      Hi.
      I also posted here, please see the comments, but I did use CAP3 after my Trinity assembly.

      Comment


      • #4
        Hi
        I have tried to use GMAP as the downstream software for Trinity's output. After that I got sam documents. My classmates said the sam documents can be treated by any MSA software, but I don't know too much detail.

        Comment

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