Enrico Gaffo

The paper benchmarks 16 circRNA detection tools across three human cell types, finding large differences in sensitivity but consistent precision, and recommends tool combinations for improved detection.

CRAFT predicts circRNA functions by analyzing sequence interactions with miRNAs and RBPs, coding potential, and integrates predictions to infer regulatory networks.

CirComPara2 improves circRNA detection from RNA-seq by combining multiple methods, achieving high recall and precision across datasets.

The paper identifies differentially expressed small RNAs in pigs with divergent backfat deposition and predicts their target genes to understand fat trait regulation.