RiboProfiling

RiboProfiling is an open-source package to analyze ribosome profiling (Ribo-seq) data, which involves the selective sequencing of translated RNA regions. The package provides a comprehensive pipeline for processing and analyzing ribosome footprint data, encompassing all key steps in a single R workflow.

Key Features of RiboProfiling:

Input Handling: Accepts alignment (BAM) files as input, streamlining the data processing workflow.

Footprint Quantification: Quantifies ribosome footprints at the transcript level, enabling detailed translation analysis.

Motif Identification: This method detects the accumulation of ribosome footprints on specific amino acids or multi-acid motifs, helping to identify regions of ribosome pausing or differential translation.

Automated Reporting: Generates summary graphs and data quantification automatically, facilitating straightforward interpretation of results.

Quality Assessment: Provides tools for assessing the quality of Ribo-seq experiments, ensuring reliable and reproducible results.

Topic

Sequence analysis

Detail

  • Operation: Codon usage analysis

  • Software interface: Command-line user interface, Library

  • Language: R

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: 1.34.0

  • Credit: The Cancéropôle PACA and Commissariat aux Grands Investissements, Fondation ARC pour la recherche sur le cancer, ANR, Fondation pour la Recherche Médicale, labex Signalife.

  • Input: Sequence range [BAM]

  • Output: Sequence alignment [Alignment format]

  • Contact: A. Popa alexandra.mariela.popa@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

  • RiboProfiling: a Bioconductor package for standard Ribo-seq pipeline processing
  • Popa A, Lebrigand K, Paquet A, Nottet N, Robbe-Sermesant K, Waldmann R, Barbry P. RiboProfiling: a Bioconductor package for standard Ribo-seq pipeline processing. F1000Res. 2016 Jun 9;5:1309. doi: 10.12688/f1000research.8964.1. PMID: 27347386; PMCID: PMC4918025.
  • https://doi.org/10.12688/f1000research.8964.1
  • PMID: 27347386
  • PMC: PMC4918025

Download and documentation


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