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PRAS

PRAS: predicting functional targets of RNA binding proteins based on CLIP-seq peaks

We designed a tool, Protein-RNA Association Strength (PRAS), for RBP functional targets prediction. Given the binding (from CLIP-seq) and reference site (pre-known or interested site) information, it can score genes by combining the binding intensity and position information. PRAS outputs the PRAS score of each interested gene.

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  1. Prerequisites
  2. Run PRAS
  1. Source code
  2. Sample data
  1. Sample input
  2. Command example
  3. Sample output

Reference

Lin, J., Zhang, Y., Frankel, W. N., & Ouyang, Z. (2019). PRAS: Predicting functional targets of RNA binding proteins based on CLIP-seq peaks. PLoS computational biology, 15(8), e1007227.

License

Use of PRAS is free for academic users under the GNU General Public License (GPL). Commercial users please contact the authors.

Contact

Zhengqing Ouyang: [email protected] Jianan Lin: [email protected]

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PRAS: predicting functional targets of RNA binding proteins based on CLIP-seq peaks

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