title: Exploring the RNA editing potential of RNA-Seq data by ExpEdit.
abstract: Revealing the impact of A-to-I RNA editing in RNA-Seq experiments is relevant in humans because RNA editing can influence gene expression. In addition, its deregulation has been linked to a variety of human diseases. Exploiting the RNA editing potential in complete RNA-Seq datasets, however, is a challenging task. Indeed, no dedicated software is available, and sometimes deep computational skills and appropriate hardware resources are required. To explore the impact of known RNA editing events in massive transcriptome sequencing experiments, we developed the ExpEdit web service application. In the present work, we provide an overview of ExpEdit as well as methodologies to investigate known RNA editing in human RNA-Seq datasets.
authors.affiliation: Consorzio Interuniversitario CINECA, 00185, Rome, Italy.
authors.forename: Mattia
authors.initials: M
authors.lastname: D'Antonio
authors.forename: Ernesto
authors.initials: E
authors.lastname: Picardi
authors.forename: Tiziana
authors.initials: T
authors.lastname: Castrignanò
authors.forename: Anna Maria
authors.initials: AM
authors.lastname: D'Erchia
authors.forename: Graziano
authors.initials: G
authors.lastname: Pesole
mesh_terms: D019295:Computational Biology; D023281:Genomics; D017393:RNA Editing / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods*