RiboMiner

RiboMiner performs systematic analysis of ribosome profiling (Ribo-seq) datasets to assess data quality, conduct metagene analyses of ribosome footprints, and quantify multidimensional features associated with translation regulation.

Key Features:

• Quality Assessment: Evaluates ribosome profiling data integrity to ensure reliability for downstream analyses.
• Metagene Analysis: Computes aggregated ribosome footprint profiles across gene features to examine global translation patterns.
• Multi-dimensional Translation Feature Analysis: Quantifies diverse features associated with translation regulation from ribosome footprint data.
• Customizable Analytical Pipeline: Supports user-defined parameterization for flexible analysis across different datasets and research objectives.
• Result Visualization: Generates visual outputs for quality metrics and translation feature analyses.

Scientific Applications:

• Translation Regulation Studies: Enables high-resolution characterization of ribosome occupancy and regulatory features across diverse cellular and physiological conditions.

Methodology:

RiboMiner integrates quality control metrics, metagene aggregation of ribosome footprints, and quantitative analysis of translation-associated features within a unified computational pipeline to systematically interrogate translatome datasets.