@article {bioinflmu-1220,
	title = {{PARma: identification of microRNA target sites in AGO-PAR-CLIP data.}},
	journal = {Genome biology},
	volume = {14},
	year = {2013},
	month = {2013 Jul 29},
	pages = {R79},
	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. PARma is available from http://www.bio.ifi.lmu.de/PARma.},
	doi = {10.1186/gb-2013-14-7-r79},
	author = {Florian Erhard and Lars D{\"o}lken and Lukasz Jaskiewicz and Ralf Zimmer}
}