The single-gene viewer reveals insights into translatome and other nucleotide-resolution omics data.

Visualizing Ribo-seq and other sequencing data within genes of interest is a powerful approach to studying gene expression, but its application is limited by a lack of robust tools. Here, we introduce , a user-friendly R package for visualizing individual gene expression, integrating Ribo-seq, RNA-seq, and other genome-wide data sets with flexible scaling options. visualizes 3 nt periodicity, a hallmark of translating ribosomes, within a gene-structure context, including introns and untranslated regions, enabling the study of novel open reading frames (ORFs), translation of different isoforms, and mechanisms of translational regulation. can plot multiple Ribo-seq/RNA-seq data sets from different conditions for comparison. It also contains functions for plotting single-transcript views, reading-frame decomposition, and RNA-seq coverage alone. Importantly, supports the visualization of other omics data sets that could also be presented with single-nucleotide resolution, such as RNA degradome, transcription start sites, translation initiation sites, and epitranscriptomic modifications. We demonstrate its utility with examples of upstream ORFs, downstream ORFs, nested ORFs, and differential isoform translation in humans, , tomatos, and rice. We also provide examples of multiomic comparisons that reveal insights that connect the transcriptome, translatome, and degradome. In summary, is an advanced single-gene viewer that offers a valuable resource for studying gene expression regulation through its intuitive and flexible platform.