Parallel genomic sequence-search on a massively parallel system

  title={Parallel genomic sequence-search on a massively parallel system},
  author={Oystein Thorsen and Brian E. Smith and Carlos P. Sosa and Karl Jiang and Heshan Lin and Amanda E. Peters and Wu-chun Feng},
  booktitle={Conf. Computing Frontiers},
In the life sciences, genomic databases for sequence search have been growing exponentially in size. As a result, faster sequence-search algorithms to search these databases continue to evolve to cope with algorithmic time complexity. The ubiquitous tool for such search is the Basic Local Alignment Search Tool (BLAST) [1] from the National Center for Biotechnology Information (NCBI). Despite continued algorithmic improvements in BLAST, it cannot keep up with the rate at which the database is… CONTINUE READING
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Unfolding the IBM Server Blue Gene Solution

  • O. Lascu, N. Allsopp, +9 authors D Quintero
  • SG24-6686-00, IBM Corporation, International…
  • 2005
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Life Science Application Analysis Speed Team

  • L. Bachega, E. Moore N Rangwala H. Lantz
  • Final Report, IBM, Rochester, MN, September 2005.
  • 2005
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