
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
Item Type: | Journal article |
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Form of publication: | Publisher's Version |
Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
Subjects: | 000 Computer science, information and general works > 000 Computer science, knowledge, and systems 500 Science > 570 Life sciences; biology |
URN: | urn:nbn:de:bvb:19-epub-23143-9 |
ISSN: | 1465-6906 |
Language: | English |
Item ID: | 23143 |
Date Deposited: | 25. Feb 2015, 17:03 |
Last Modified: | 13. Aug 2024, 12:52 |