Abstract Significant improvements in long-read sequencing technologies have unlocked complex genomic areas, such as centromeres, in the genome and introduced the centromere annotation problem. Currently, centromeres are annotated in a semi-manual way. Here, we propose HiCAT, a generalizable automatic centromere annotation tool, based on hierarchical tandem repeat mining and maximization of tandem repeat coverage to facilitate decoding of centromere architecture. We applied HiCAT to human CHM13-T2T and gapless Arabidopsis thaliana genomes. Our results not only were generally consistent with previous inferences but also greatly improved annotation continuity and revealed additional fine structures, demonstrating HiCAT’s performance and general applicability.

HiCAT: A tool for automatic annotation of centromere structure