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Updated: May 16, 2026

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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
Published on: April 30, 2011
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PARANOiD: Pipeline for Automated Read ANalysis of iCLIP Data
Patrick Barth1, Frank Förster1,2, Sebastian Jaenicke1,3
1Bioinformatics and Systems Biology, Justus Liebig University Giessen, 35392 Giessen, Germany.
Bioinformatics (Oxford, England)
|December 24, 2025
Summary
PARANOiD software automates the analysis of individual-nucleotide resolution cross-linking and immunoprecipitation (iCLIP) data. This tool precisely determines RNA-protein interactions and identifies binding motifs, aiding biological understanding.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- RNA-protein interactions are fundamental to cellular processes like transcription and translation.
- Understanding these interactions requires precise identification of RNA binding sites.
- Individual-nucleotide resolution CLIP (iCLIP) offers nucleotide-level precision for studying RNA-protein binding.
Purpose of the Study:
- To introduce PARANOiD, a software tool for automated iCLIP and iCLIP2 data analysis.
- To provide a comprehensive solution for preprocessing, cross-link site determination, and motif analysis.
- To facilitate the visualization and further analysis of RNA-protein interaction data.
Main Methods:
- PARANOiD software automates the entire analysis pipeline for iCLIP and iCLIP2 data.
- Includes preprocessing steps, cross-link site determination, and advanced analysis modules.
- Offers visualization of results through statistical plots and standardized bioinformatics formats.
Main Results:
- Fully automated analysis of iCLIP and iCLIP2 data.
- Accurate determination of RNA-protein cross-link locations.
- Identification of specific binding characteristics, such as distances between cross-links and binding motifs.
Conclusions:
- PARANOiD provides a versatile and automated solution for iCLIP data analysis.
- The software enhances the study of RNA-protein interactions by offering precise localization and motif detection.
- Results are presented in accessible formats for further downstream analyses.

