title: GPU-BLAST: using graphics processors to accelerate protein sequence alignment.
abstract: BACKGROUND
  The Basic Local Alignment Search Tool (BLAST) is one of the most widely used bioinformatics tools. The widespread impact of BLAST is reflected in over 53,000 citations that this software has received in the past two decades, and the use of the word 'blast' as a verb referring to biological sequence comparison. Any improvement in the execution speed of BLAST would be of great importance in the practice of bioinformatics, and facilitate coping with ever increasing sizes of biomolecular databases.
  
  
  RESULTS
  Using a general-purpose graphics processing unit (GPU), we have developed GPU-BLAST, an accelerated version of the popular NCBI-BLAST. The implementation is based on the source code of NCBI-BLAST, thus maintaining the same input and output interface while producing identical results. In comparison to the sequential NCBI-BLAST, the speedups achieved by GPU-BLAST range mostly between 3 and 4.
  
  
  BACKGROUND
  The source code of GPU-BLAST is freely available at http://archimedes.cheme.cmu.edu/biosoftware.html.
authors.affiliation: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
authors.forename: Panagiotis D
authors.initials: PD
authors.lastname: Vouzis
authors.forename: Nikolaos V
authors.initials: NV
authors.lastname: Sahinidis
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D003201:Computers; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software