RiboA

A (Ribo-Seq A-site Identifier): Integer programming-based A-site detection for Ribo-Seq

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.

PMID: 33765913
PMCID: PMC7992832
Funding: - National Science Foundation: ABI 1759860 - National Institutes of Health: R35 GM124818