Abstract
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.
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Acknowledgments
This work was supported by the Italian Ministero dell’Istruzione, Università e Ricerca (MIUR): PRIN 2009 and 2010; Consiglio Nazionale delle Ricerche: Flagship Project Epigen, Medicina Personalizzata and Aging Program 2012–2014. It was also supported by the Italian Ministry for Foreign Affairs (Italy–Israel actions) to E.P. and AIRC to A.G.
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Picardi, E., D’Erchia, A.M., Gallo, A., Pesole, G. (2015). Detection of Post-Transcriptional RNA Editing Events. In: Picardi, E. (eds) RNA Bioinformatics. Methods in Molecular Biology, vol 1269. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2291-8_12
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DOI: https://doi.org/10.1007/978-1-4939-2291-8_12
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