RiboTransVis

Welcome!

Ribosome profiling (Ribo-seq) has emerged as a powerful technique in life sciences research, providing high-resolution insights into translation dynamics by capturing ribosome-protected fragments (RPFs) across the transcriptome. This approach has led to important discoveries, such as:

• Identification of non-canonical translation events

• Quantitative measurement of translation efficiency

• Detection of novel translated open reading frames (ORFs)

• Insights into translational regulation under various physiological or pathological conditions

However, analyzing Ribo-seq data alongside RNA-seq data in a comprehensive and reproducible way remains a challenge, especially when high-quality visualizations are required for publication.

To address this need, I developed RiboTransVis — an R package designed to streamline the integrated analysis and publication-ready visualization of Ribo-seq and RNA-seq datasets. The primary goal of this package is to simplify translational research workflows and support researchers in producing figures and insights that meet academic publishing standards.

Compared to my previous tool, RiboProfiler (https://github.com/junjunlab/RiboProfiler), RiboTransVis does not rely on external programming environments such as Julia or Python. Its functionality is implemented entirely in R, which significantly reduces software dependencies and makes installation and use much more accessible.