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.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | R79 |
| Fachzeitschrift | Genome Biology |
| Jahrgang | 14 |
| Ausgabenummer | 7 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2013 |
| Extern publiziert | Ja |
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