SpEED

  • Authors:
  • Lucian Ilie;Silvana Ilie;Anahita Mansouri Bigvand

  • Affiliations:
  • -;-;-

  • Venue:
  • Bioinformatics
  • Year:
  • 2011

Quantified Score

Hi-index 3.84

Visualization

Abstract

Summary: Multiple spaced seeds represent the current state-of-the-art for similarity search in bioinformatics, with applications in various areas such as sequence alignment, read mapping, oligonucleotide design, etc. We present SpEED, a software program that computes highly sensitive multiple spaced seeds. SpEED can be several orders of magnitude faster and computes better seeds than the existing leading software programs. Availability: The source code of SpEED is freely available at www.csd.uwo.ca/~ilie/SpEED/ Contact: ilie@csd.uwo.ca Supplementary information:Supplementary data are available at Bioinformatics online.