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.