| Chapter title |
Detection of post-transcriptional RNA editing events.
|
|---|---|
| Chapter number | 12 |
| Book title |
RNA Bioinformatics
|
| Published in |
Methods in molecular biology, December 2014
|
| DOI | 10.1007/978-1-4939-2291-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2290-1, 978-1-4939-2291-8
|
| Authors |
Ernesto Picardi, Anna Maria D’Erchia, Angela Gallo, Graziano Pesole |
| Editors |
Ernesto Picardi |
| 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. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Ph. D. Student | 4 | 20% |
| Student > Master | 3 | 15% |
| Student > Postgraduate | 2 | 10% |
| Other | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 50% |
| Agricultural and Biological Sciences | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Engineering | 1 | 5% |
| Unknown | 3 | 15% |