{Reference Type}: Journal Article
{Title}: RiboGraph: an interactive visualization system for ribosome profiling data at read length resolution.
{Author}: Chacko J;Ozadam H;Cenik C;
{Journal}: Bioinformatics
{Volume}: 40
{Issue}: 6
{Year}: 2024 Jun 3
{Factor}: 6.931
{DOI}: 10.1093/bioinformatics/btae369
{Abstract}: <B>BACKGROUND: </B>Ribosome profiling is a widely-used technique for measuring ribosome occupancy at nucleotide resolution. However, the need to analyze this data at nucleotide resolution introduces unique challenges in data visualization and analyses.<BR><B>RESULTS: </B>In this study, we introduce RiboGraph, a dedicated visualization tool designed to work with .ribo files, a specialized and efficient format for ribosome occupancy data. Unlike existing solutions that rely on large alignment files and time-consuming preprocessing steps, RiboGraph operates on a purpose designed compact file type. This efficiency allows for interactive, real-time visualization at ribosome-protected fragment length resolution. By providing an integrated toolset, RiboGraph empowers researchers to conduct comprehensive visual analysis of ribosome occupancy data.<BR><B>METHODS: </B>Source code, step-by-step installation instructions and links to documentation are available on GitHub: https://github.com/ribosomeprofiling/ribograph. On the same page, we provide test files and a step-by-step tutorial highlighting the key features of RiboGraph.