title: REDItools: high-throughput RNA editing detection made easy.
abstract: CONCLUSIONS
  The reliable detection of RNA editing sites from massive sequencing data remains challenging and, although several methodologies have been proposed, no computational tools have been released to date. Here, we introduce REDItools a suite of python scripts to perform high-throughput investigation of RNA editing using next-generation sequencing data.
  
  
  METHODS
  REDItools are in python programming language and freely available at http://code.google.com/p/reditools/.
  
  
  BACKGROUND
  ernesto.picardi@uniba.it or graziano.pesole@uniba.it
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, 70125 Bari, Italy. ernesto.picardi@uniba.it
authors.forename: Ernesto
authors.initials: E
authors.lastname: Picardi
authors.forename: Graziano
authors.initials: G
authors.lastname: Pesole
mesh_terms: D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D011381:Programming Languages; D017393:RNA Editing; D012984:Software