RiboDoc
RiboDoc standardizes ribosome profiling (RiboSeq) bioinformatics workflows to provide consistent statistical analysis and quality control for genome-wide studies of translation regulation.
Key Features:
- Containerization: Docker-based package provides consistent computational environments for RiboSeq analyses.
- Workflow standardization: Standardizes the essential bioinformatics steps required for systematic RiboSeq analysis.
- Statistical analysis: Performs rigorous statistical analysis tailored to ribosome profiling data.
- Quality control: Implements quality control measures specific to RiboSeq datasets.
- Cross-platform execution: Docker containerization enables execution across multiple operating systems.
- Reproducibility: Produces standardized outputs to support reproducible translation studies.
Scientific Applications:
- Genome-wide translation regulation: Enables investigation of translation regulation across genes and conditions using RiboSeq data.
- Translational dynamics and control mechanisms: Supports analysis of translational dynamics and control mechanisms from ribosome occupancy patterns.
- Preparation for downstream analyses: Generates standardized, quality-controlled datasets suitable for specialized downstream tools and analyses.
Methodology:
Distributed as a Docker-based package, RiboDoc applies standardized bioinformatics steps including rigorous statistical analysis and quality control measures to RiboSeq data.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Other
- Added:
- 10/22/2021
- Last Updated:
- 10/22/2021
Operations
Publications
François P, Arbes H, Demais S, Baudin-Baillieu A, Namy O. RiboDoc: A Docker-based package for ribosome profiling analysis. Computational and Structural Biotechnology Journal. 2021;19:2851-2860. doi:10.1016/j.csbj.2021.05.014. PMID:34093996. PMCID:PMC8141510.
Documentation
Links
Repository
https://github.com/equipeGST/RiboDoc