The advent of deep sequencing technologies has greatly improved the study of 
complex eukaryotic genomes and transcriptomes, providing the unique opportunity 
to investigate posttranscriptional molecular mechanisms as alternative splicing 
and RNA editing at single base-pair resolution. RNA editing by adenosine 
deamination (A-to-I) is widespread in humans and can lead to a variety of 
biological effects depending on the RNA type or the RNA region involved in the 
editing modification. Hereafter, we describe an easy and reproducible 
computational protocol for the identification of candidate RNA editing sites in 
human using deep transcriptome (RNA-Seq) and genome (DNA-Seq) sequencing data.