RiboA
RiboA identifies ribosome A-site locations on ribosome-protected mRNA fragments from ribosome profiling (Ribo-Seq) data. It determines the codon position where translation occurs, enabling accurate mapping of codons translated into amino acids and improving signal-to-noise ratios for translational analyses.
Key Features:
- Integer Programming-Based A-site Identification: Applies an Integer Programming algorithm to assign A-site positions, constrained by the biological assumption that the A-site of actively translating ribosomes lies between the second codon and the stop codon of coding sequences (CDS).
- Fragment Length and CDS Coverage Support: Analyzes diverse ribosome-protected mRNA fragment sizes within and around coding sequences to accommodate heterogeneous Ribo-Seq datasets.
- A-site Read Density Profiling: Generates A-site read density profiles for quantitative assessment of ribosome occupancy.
Scientific Applications:
- Translational Dynamics Analysis: Enables transcriptome-wide investigation of translational efficiency, codon-level ribosome occupancy, and regulatory mechanisms influencing protein synthesis.
Methodology:
RiboA formulates A-site assignment as an Integer Programming optimization problem, incorporating biological constraints that restrict valid A-site positions to the region between the second codon and the stop codon of annotated coding sequences. Optimal offsets are inferred for ribosome-protected fragment lengths to maximize biologically consistent A-site positioning.
Topics
Details
- License:
- MIT
- Tool Type:
- web application
- Programming Languages:
- Python, JavaScript
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Shao D, Ahmed N, Soni N, O’Brien EP. RiboA: a web application to identify ribosome A-site locations in ribosome profiling data. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04068-w. PMID:33765913. PMCID:PMC7992832.