Journal of
Bioinformatics and Sequence Analysis

  • Abbreviation: J. Bioinform. Seq. Anal.
  • Language: English
  • ISSN: 2141-2464
  • DOI: 10.5897/JBSA
  • Start Year: 2009
  • Published Articles: 46

Full Length Research Paper

Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool

Shrikant Pawar
  • Shrikant Pawar
  • Department of Computer Science, Georgia State University, 34 Peachtree Street, 30303, Atlanta, GA, USA.
  • Google Scholar
Aditya Stanam
  • Aditya Stanam
  • College of Public Health, The University of Iowa, UI Research Park, #219 IREH, 52242-5000, Iowa City, Iowa, USA.
  • Google Scholar
Ying Zhu
  • Ying Zhu
  • Creative Media Industries Institute and Department of Computer Science, Georgia State University, 34 Peachtree Street, 30303, Atlanta, GA, USA.
  • Google Scholar


  •  Received: 18 March 2018
  •  Accepted: 27 July 2018
  •  Published: 31 July 2018

How to cite this article

APA /
Pawar, S., Stanam, A., & Zhu, Y. (2018). Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool. Journal of Bioinformatics and Sequence Analysis, 9(2), 10-14.
Chicago /
Shrikant Pawar, Aditya Stanam and Ying Zhu  . "Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool." Journal of Bioinformatics and Sequence Analysis 9, no. 2 (2018): 10-14.
MLA /
Shrikant Pawar, Aditya Stanam and Ying Zhu  . "Evaluating the computing efficiencies (specificity and sensitivity) of graphics processing unit (GPU)-accelerated DNA sequence alignment tools against central processing unit (CPU) alignment tool." Journal of Bioinformatics and Sequence Analysis 9.2 (2018): 10-14.