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  • Anyone here uses MUMmerGPU?

    Hi I have problem building suffix trees using MUMmerGPU with human chromosomes. I tried with chr1 and chr22 but no luck so far. When I tried with an artificial sequence it works. Is it that the Ns are stopping it from working properly?

    TA

    B

  • #2
    Originally posted by brianlamx View Post
    Hi I have problem building suffix trees using MUMmerGPU with human chromosomes. I tried with chr1 and chr22 but no luck so far.
    Does it work with regular MUMmer?

    Will MUMmerGPU really offer much improvement in speed?

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    • #3
      Background The recent availability of new, less expensive high-throughput DNA sequencing technologies has yielded a dramatic increase in the volume of sequence data that must be analyzed. These data are being generated for several purposes, including genotyping, genome resequencing, metagenomics, and de novo genome assembly projects. Sequence alignment programs such as MUMmer have proven essential for analysis of these data, but researchers will need ever faster, high-throughput alignment tools running on inexpensive hardware to keep up with new sequence technologies. Results This paper describes MUMmerGPU, an open-source high-throughput parallel pairwise local sequence alignment program that runs on commodity Graphics Processing Units (GPUs) in common workstations. MUMmerGPU uses the new Compute Unified Device Architecture (CUDA) from nVidia to align multiple query sequences against a single reference sequence stored as a suffix tree. By processing the queries in parallel on the highly parallel graphics card, MUMmerGPU achieves more than a 10-fold speedup over a serial CPU version of the sequence alignment kernel, and outperforms the exact alignment component of MUMmer on a high end CPU by 3.5-fold in total application time when aligning reads from recent sequencing projects using Solexa/Illumina, 454, and Sanger sequencing technologies. Conclusion MUMmerGPU is a low cost, ultra-fast sequence alignment program designed to handle the increasing volume of data produced by new, high-throughput sequencing technologies. MUMmerGPU demonstrates that even memory-intensive applications can run significantly faster on the relatively low-cost GPU than on the CPU.


      (from: http://www.biomedcentral.com/1471-2105/8/474)
      --
      Senthil Palanisami

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      • #4
        Originally posted by brianlamx View Post
        Hi I have problem building suffix trees using MUMmerGPU with human chromosomes. I tried with chr1 and chr22 but no luck so far. When I tried with an artificial sequence it works. Is it that the Ns are stopping it from working properly?

        TA

        B
        The Ns won't affect. Just wanna check with you that you're using only one sequence to construct the suffix tree. I think MummerGPU don't support multiple sequences as reference.

        Comment


        • #5
          Are you mapping READS to the human genome, or comparing contigs?

          If using reads, there are much better tools like BWA etc that will give 1000x speedups compared to Mummer. If mapping large sequences, the GPUMummer gives no speedup compared to Mummer (see the graph).

          Don't put yourself through pain unless you are forced to!

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