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Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

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Updated: Apr 15, 2026

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

Published on: August 7, 2021

RiboTools: a Galaxy toolbox for qualitative ribosome profiling analysis.

Rachel Legendre¹, Agnès Baudin-Baillieu¹, Isabelle Hatin¹

¹Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris-Sud, Bat 400, 91400 Orsay, France.

Bioinformatics (Oxford, England)

|March 28, 2015

Summary

We developed RiboTools, a new bioinformatics toolbox for analyzing ribosome profiling (Ribo-seq) data. This tool helps researchers understand translational regulation by detecting ambiguities and codon occupancy.

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Last Updated: Apr 15, 2026

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

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Published on: August 7, 2021

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling

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Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Ribosome profiling (Ribo-seq) offers genome-wide insights into translational regulation.
A lack of standardized tools hinders the qualitative analysis of Ribo-seq data.

Purpose of the Study:

Introduce RiboTools, a Galaxy-based toolbox for Ribo-seq data analysis.
Enable detection of translational ambiguities, stop codon readthrough, and codon occupancy.
Facilitate visualization of translational events through comprehensive plotting.

Main Methods:

Development of RiboTools as a Galaxy toolbox.
Implementation of algorithms for analyzing Ribo-seq data.
Generation of diverse plots for data visualization.

Main Results:

RiboTools provides a standardized approach for Ribo-seq data analysis.
The toolbox successfully detects key translational events.
Numerous visualizations aid in the interpretation of Ribo-seq data.

Conclusions:

RiboTools enhances the qualitative analysis of ribosome profiling data.
The toolbox supports research into translational regulation mechanisms.
RiboTools offers a valuable resource for the scientific community.