BACKGROUND: In recent years, Piwi-interacting RNAs (piRNAs) have been found to be involved in different biological roles beyond their initially identified role in protecting the germline genome. However, there is a lack of robust computational tools that facilitate their accurate annotation, analysis, and visualization, which would allow large-scale analysis of piRNAs across samples and species. RESULTS: We present piRAT, a piRNA Annotation Tool for annotating both primary piRNAs from piRNA clusters and secondary piRNAs generated via the ping-pong cycle, using small RNA-seq data mapped to a genome. piRAT also performs descriptive analyses and generates comprehensive reports with visualizations to support annotations and provide further insights. CONCLUSIONS: In our comparative analyses, piRAT emerged as the most comprehensive tool available in terms of functionalities. It consistently produced higher-quality annotations of piRNA clusters and ping-pong sites and generated the most detailed reports. As piRAT requires no prior annotations or special data preprocessing, it is a versatile choice for any species, particularly for non-model organisms.

MOTIVATION: microRNAs (miRNAs) are essential components of gene expression regulation at the post-transcriptional level. miRNAs have a well-defined molecular structure and this has facilitated the development of computational and high-throughput approaches to predict miRNAs genes. However, due to their short size, miRNAs have often been incorrectly annotated in both plants and animals. Consequently, published miRNA annotations and miRNA databases are enriched for false miRNAs, jeopardizing their utility as molecular information resources. To address this problem, we developed MirCure, a new software for quality control, filtering and curation of miRNA candidates. MirCure is an easy-to-use tool with a graphical interface that allows both scoring of miRNA reliability and browsing of supporting evidence by manual curators. RESULTS: Given a list of miRNA candidates, MirCure evaluates a number of miRNA-specific features based on gene expression, biogenesis and conservation data, and generates a score that can be used to discard poorly supported miRNA annotations. MirCure can also curate and adjust the annotation of the 5p and 3p arms based on user-provided small RNA-seq data. We evaluated MirCure on a set of manually curated animal and plant miRNAs and demonstrated great accuracy. Moreover, we show that MirCure can be used to revisit previous bona fide miRNAs annotations to improve miRNA databases. AVAILABILITY AND IMPLEMENTATION: The MirCure software and all the additional scripts used in this project are publicly available at https://github.com/ConesaLab/MirCure. A Docker image of MirCure is available at https://hub.docker.com/r/conesalab/mircure. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.