RiboR
RiboR provides programmatic access for analysis of ribosome profiling data, enabling length-resolved interrogation of ribosome-protected footprints stored in the 'ribo' binary file format.
Key Features:
- Ribo file format: Reads and writes the 'ribo' binary file format that stores ribosome-protected footprint data grouped by footprint length and associated metrics.
- Integration with RiboFlow pipeline: Integrates with RiboFlow pipeline outputs to analyze raw ribosome profiling sequencing data processed into 'ribo' files, with RiboFlow supporting parallelization.
- R and Python programmatic interfaces: Exposes programmatic interfaces in R (RiboR) and Python (RiboPy) to access quality control metrics, generate plots, and analyze ribosome occupancy across footprint lengths.
Scientific Applications:
- Protein abundance estimation: Uses ribosome occupancy measurements to estimate protein abundance levels.
- Translation mechanism inference: Enables inference of translation dynamics and regulation from length-resolved ribosome profiling data.
Methodology:
Operates by reading and writing 'ribo' files that encapsulate metrics for different ribosome footprint lengths.
Topics
Details
- Programming Languages:
- R, Python
- Added:
- 1/14/2020
- Last Updated:
- 1/15/2021
Operations
Publications
Ozadam H, Geng M, Cenik C. RiboFlow, RiboR and RiboPy: An ecosystem for analyzing ribosome profiling data at read length resolution. Unknown Journal. 2019. doi:10.1101/855445.
DOI: 10.1101/855445
Links
Repository
https://github.com/ribosomeprofiling