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Updated: Jan 6, 2026

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
Identifying and Visualizing Novel Small Open Reading Frames (sORFs) Via Ribo-Seq, Transcriptome Assembly, and ggRibo
Hsin-Yen Larry Wu1, Isaiah D Kaufman1, Polly Yingshan Hsu2
1Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI, USA.
Abstract:
Small ORFs (sORFs) may encode signaling peptides or microproteins that regulate diverse developmental and environmental responses. Additionally, their translation may play a crucial role in the biogenesis of noncoding RNAs. Despite their importance, sORFs are typically absent from genome annotations, and their prediction remains a significant challenge. Here, we present a bioinformatics pipeline for the identification and visualization of novel translated sORFs using Ribo-seq data in Arabidopsis. This pipeline integrates: (1) Ribo-seq/RNA-seq preprocessing and mapping, (2) (optional) transcriptome assembly to detect unannotated transcripts, (3) ORF discovery using RiboTaper, and (4) the gene viewer ggRibo for high-resolution visualization of individual sORF expression. By combining these modules, our approach provides a powerful framework for analyzing Ribo-seq data, facilitating the discovery, visualization, and future functional characterization of hidden sORFs. This pipeline can be applied to different organisms for systematic identification and visualization of novel sORFs.
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