Sebastiano Di Bella, Francesco Orilio, Shaopeng Gu, Rosario Distefano, Junhao Liu, Miriam Gaggianesi, Rosario Nicola Brancaccio, Shaohong Feng, Alessandro Laganà, Mario Acunzo, Qin Ma, Giovanni Nigita
Over the past few decades, microRNAs (miRNAs) have gained significant attention for their role in regulating gene expression and their association with various diseases, including cancer. These small noncoding RNAs (sncRNAs) have been identified as crucial regulators of different biological functions. However, recent advancements in high-throughput sequencing technologies have revealed a more complex miRNAome, driven by phenomena such as RNA editing and isomiRs, which modify miRNA sequences. This increasing complexity has necessitated the development of new tools to analyze the miRNAome and better understand their biological roles. To address this challenge, isoTar was developed-a high-performance, web-based containerized application designed for miRNA consensus-targeting prediction and functional enrichment analyses. This chapter provides a comprehensive overview of isoTar ( https://ncrnaome.osumc.edu/isotar/ ), including benchmarks of its performance and a guide to its usage.