Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup

  • Authors:
  • Andrew T. Magis;John C. Earls;Youn-Hee Ko;James A. Eddy;Nathan D. Price

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • Bioinformatics
  • Year:
  • 2011

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Abstract

Summary: The top-scoring pair (TSP) and top-scoring triplet (TST) algorithms are powerful methods for classification from expression data, but analysis of all combinations across thousands of human transcriptome samples is computationally intensive, and has not yet been achieved for TST. Implementation of these algorithms for the graphics processing unit results in dramatic speedup of two orders of magnitude, greatly increasing the searchable combinations and accelerating the pace of discovery. Availability: http://www.igb.illinois.edu/labs/price/downloads/. Contact: ndprice@illinois.edu Supplementary information:Supplementary data are available at Bioinformatics online.