Riborex

Riborex identifies differential translation by analyzing Ribo-seq together with matched RNA-seq to quantify translation efficiency and ribosome activity across samples.

Key Features:

• Differential translation detection: Identifies genes with altered translation across biological samples using Ribo-seq data.
• Ribo-seq and RNA-seq integration: Integrates matched Ribo-seq and RNA-seq gene expression profiles for joint analysis.
• Translation efficiency estimation: Computes translation efficiency per gene by combining ribosome occupancy and RNA expression measurements.
• Gene-level ribosome mapping: Produces genome-wide maps of ribosome activity for expressed genes.
• Simplified implementation with preserved mathematics: Implements a simplified algorithm that retains the mathematical structure of established methods.
• Speed–accuracy balance: Optimizes the tradeoff between processing speed and accuracy compared with traditional approaches.
• Parameter estimation via RNA-seq frameworks: Uses established RNA-seq analysis frameworks for parameter estimation.
• Engine selection: Allows selection among different computational engines for analysis.
• Improved processing time: Achieves substantially faster processing times relative to other available methods.

Scientific Applications:

• Translation regulation studies: Analysis of translational control mechanisms using Ribo-seq and RNA-seq data.
• Condition and treatment comparisons: Identification of genes differentially translated across conditions or treatments.
• Genome-wide translation efficiency profiling: Large-scale studies of translation efficiency across the transcriptome.
• Basic and applied research: Applications in both fundamental biology and biomedical investigations involving translational changes.

Methodology:

Integrates Ribo-seq with matched RNA-seq profiles to estimate translation efficiency; performs parameter estimation via established RNA-seq analysis frameworks and permits selection of computational engines; implements a simplified algorithm preserving the mathematical structure of established methods to improve processing speed.