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Updated: Jun 24, 2025
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RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing
Published on: August 7, 2021
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Riboseq-flow: A streamlined, reliable pipeline for ribosome profiling data analysis and quality control
Ira A Iosub1,2,3, Oscar G Wilkins1,4, Jernej Ule1,2,3
1The Francis Crick Institute, London, England, UK.
Wellcome Open Research
|June 7, 2024
Summary
This study introduces riboseq-flow, a new Nextflow pipeline for ribosome profiling data analysis. It ensures accurate interpretation and reproducible results through comprehensive quality control and automated metrics.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Ribosome profiling is essential for transcriptome-wide translation studies.
- Ensuring data quality and reproducibility is critical for accurate interpretation of ribosome profiling data.
Purpose of the Study:
- To introduce riboseq-flow, a Nextflow DSL2 pipeline for processing and quality control of ribosome profiling experiments.
- To provide a user-friendly, versatile, and reproducible solution for analyzing ribosome profiling data.
Main Methods:
- Development of a Nextflow DSL2 pipeline named riboseq-flow.
- Implementation of comprehensive quality control metrics and visualizations.
- Enabling parallel analysis of multiple samples.
Main Results:
- Riboseq-flow facilitates efficient processing and quality assessment of ribosome profiling data.
- The pipeline generates detailed metrics and visualizations for data evaluation.
- It supports reproducibility, scalability, and portability in data analysis.
Conclusions:
- Riboseq-flow enhances the accuracy and reliability of ribosome profiling studies.
- The pipeline empowers researchers with robust tools for translation analysis.
- It promotes best practices in bioinformatics for genomic data processing.
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