PARma: Identification of microRNA target sites in AGO-PAR-CLIP data

Florian Erhard*, Lars Dölken, Lukasz Jaskiewicz, Ralf Zimmer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

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 languageEnglish
Article numberR79
JournalGenome Biology
Volume14
Issue number7
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • EM algorithm
  • Generative model
  • MicroRNA
  • PAR-CLIP

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