riboviz: analysis and visualization of ribosome profiling datasets

Area of Science:

• Molecular Biology
• Systems Biology
• Bioinformatics

Background:

• High-throughput sequencing techniques like ribosome profiling offer critical insights into protein synthesis regulation in vivo.
• Ribosome profiling (riboseq) has been instrumental in biological discovery since 2009.
• Widespread adoption of riboseq requires robust computational tools.

Purpose of the Study:

• To develop a user-friendly database and visualization tool for analyzing riboseq datasets.
• To enable exploration and comparison of private and published riboseq data.
• To facilitate the identification of transcriptional and translational regulation patterns.

Main Methods:

• Development of a comprehensive and flexible computational pipeline for riboseq data analysis.
• Creation of a web-based application for interactive visualization and comparison of datasets.
• Provision of freely available source code and detailed documentation.

Main Results:

• A functional database and browser-based visualization tool, RiboViz, has been created.
• The RiboViz pipeline supports the analysis of private, unpublished riboseq datasets.
• The web application allows comparison with publicly available yeast riboseq datasets.

Conclusions:

• RiboViz offers a comprehensive solution for analyzing and visualizing ribosome-profiling data.
• The toolkit empowers systems biologists and individual gene researchers to study regulatory patterns.
• Facilitates comparative analyses across different organisms and experimental conditions.