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

  • Florian Erhard*
  • , Lars Dölken
  • , Lukasz Jaskiewicz
  • , Ralf Zimmer
  • *Corresponding author for this work
  • Ludwig Maximilian University of Munich
  • Department of Medicine, University of Cambridge
  • SIB Swiss Institute of Bioinformatics
  • Institute for Bioinformatics

Research output: Contribution to journalArticlepeer-review

48 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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