Abstract
PARma is a complete data analysis software for AGO-PAR-CLIP experiments to identify target sites of microRNAs as well as the microRNA binding to these sites. It integrates specific characteristics of the experiments into a generative model. The model and a novel pattern discovery tool are iteratively applied to data to estimate seed activity probabilities, cluster confidence scores and to assign the most probable microRNA. Based on differential PAR-CLIP analysis and comparison to RIP-Chip data, we show that PARma is more accurate than existing approaches.
| Original language | English |
|---|---|
| Article number | R79 |
| Journal | Genome Biology |
| Volume | 14 |
| Issue number | 7 |
| DOIs | |
| State | Published - 2013 |
| Externally published | Yes |
Keywords
- EM algorithm
- Generative model
- MicroRNA
- PAR-CLIP