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Mendeley readers
| Chapter title |
Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI
|
|---|---|
| Chapter number | 7 |
| Book title |
Transcriptome Data Analysis
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7710-9_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7709-3, 978-1-4939-7710-9
|
| Authors |
Qing Zhang, Zhang, Qing |
| Abstract |
RNA editing is a posttranscriptional modification process that alters the sequence of RNA molecules. RNA editing is related to many human diseases. However, the identification of RNA editing sites typically requires matched genomic sequence or multiple related expression data sets. Here we describe the GIREMI tool (genome-independent identification of RNA editing by mutual information; https://github.com/zhqingit/giremi ) that is designed to accurately and sensitively predict adenosine-to-inosine editing from a single RNA-Seq data set. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Student > Postgraduate | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Agricultural and Biological Sciences | 3 | 21% |
| Immunology and Microbiology | 1 | 7% |
| Neuroscience | 1 | 7% |
| Unknown | 5 | 36% |