h4CONCUR

h4CONCUR estimates codon counts from ribosome profiling (Ribo-seq) BAM-format aligned reads to generate site-specific codon usage profiles at the ribosomal E-, P-, and A-sites and their flanking regions for analysis of translation dynamics.


Key Features:

  • Codon Count Estimation: Estimates codon usage by analyzing aligned Ribo-seq reads to calculate codon counts.
  • Site-Specific Analysis: Assigns codon counts specifically to ribosomal E-, P-, and A-sites and their flanking regions.
  • Input Format: Accepts aligned reads in BAM format as input.
  • Output Generation: Produces detailed reports of codon usage and counts for downstream analysis.
  • Implementation and Requirements: Implemented in Perl and requires Perl and bedtools, with compatibility for Linux and macOS.

Scientific Applications:

  • Translational Efficiency Studies: Enables analysis of how codon usage influences translation speed and accuracy using Ribo-seq data.
  • Gene Expression Analysis: Supports investigation of codon bias effects on gene expression levels.
  • Evolutionary Biology Research: Facilitates detection of codon usage patterns indicative of evolutionary pressures and species-specific translational mechanisms.

Methodology:

Processes Ribo-seq data by accepting BAM-format aligned reads, estimating codon counts at ribosomal E-, P-, and A-sites and their flanking regions, and generating detailed codon usage reports.

Topics

Details

License:
AGPL-3.0
Tool Type:
command-line tool
Programming Languages:
Perl, R
Added:
1/18/2021
Last Updated:
1/30/2021

Operations

Publications

Frye M, Bornelöv S. CONCUR: quick and robust calculation of codon usage from ribosome profiling data. Bioinformatics. 2020;37(5):717-719. doi:10.1093/bioinformatics/btaa733. PMID:32866237. PMCID:PMC8097682.

PMID: 32866237
Funding: - Cancer Research UK: C10701/A15181