title: rNA: a fast and accurate short reads numerical aligner.
abstract: CONCLUSIONS
  The advent of high-throughput sequencers (HTS) introduced the need of new tools in order to analyse the large amount of data that those machines are able to produce. The mandatory first step for a wide range of analyses is the alignment of the sequences against a reference genome. We present a major update to our rNA (randomized Numerical Aligner) tool. The main feature of rNA is the fact that it achieves an accuracy greater than the majority of other tools in a feasible amount of time. rNA executables and source codes are freely downloadable at http://iga-rna.sourceforge.net/.
  
  
  BACKGROUND
  vezzi@appliedgenomics.org; delfabbro@appliedgenomics.org
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Mathematics and Computer Science, University of Udine, Udine, Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Vezzi
authors.forename: Cristian
authors.initials: C
authors.lastname: Del Fabbro
authors.forename: Alexandru I
authors.initials: AI
authors.lastname: Tomescu
authors.forename: Alberto
authors.initials: A
authors.lastname: Policriti
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software