Computational Identification of piRNAs Using Features Based on RNA Sequence, Structure, Thermodynamic and Physicochemical Properties.

Conclusion: We obtained the highest performance in accurately predicting piRNAs as compared to the current state-of-the-art piRNA predictors. In conclusion, piRNAPred would be helpful to expand the piRNA repertoire, and provide new insights on piRNA functions. PMID: 32655289 [PubMed]
Source: Current Genomics - Category: Genetics & Stem Cells Tags: Curr Genomics Source Type: research