riboviz 2
RiboViz 2 analyzes ribosome profiling (Ribo-seq) data using a transcript-centric framework that accepts user-defined transcriptomes in FASTA format with corresponding coding sequence (CDS) annotations in GFF3 format. It implements a reproducible workflow for processing and analyzing translational activity across selected transcript sets.
Key Features:
- Transcript-Centric Input: Processes custom transcriptomes (FASTA) with matched CDS annotations (GFF3) to enable targeted translational analyses.
- Nextflow-Based Workflow: Executes a reproducible analysis pipeline using the Nextflow workflow management system integrating external software and custom code.
- Annotation–Analysis Separation: Decouples transcript annotation from downstream analysis, allowing independent selection of transcriptome resources.
- Library Preparation Compatibility: Supports multiple ribosome profiling library preparation strategies, including multiplexed samples.
- Open File Format Integration: Utilizes standardized, documented file formats to facilitate extension and incorporation of additional analyses.
Scientific Applications:
- Global Translation Profiling: Enables transcriptome-wide analysis of translational activity, identification of actively translated regions, and investigation of organism-specific translation mechanisms.
Methodology:
RiboViz 2 processes ribosome profiling reads within a Nextflow-managed pipeline, aligning data to user-specified transcriptomes and CDS annotations, and performing transcript-level analyses while maintaining separation between annotation resources and computational workflows.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- workflow
- Programming Languages:
- Python, R
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Cope AL, Anderson F, Favate J, Jackson M, Mok A, Kurowska A, MacKenzie E, Shivakumar V, Tilton P, Winterbourne SM, Xue S, Kavoussanakis K, Lareau LF, Shah P, Wallace EW. riboviz 2: A flexible and robust ribosome profiling data analysis and visualization workflow. Unknown Journal. 2021. doi:10.1101/2021.05.14.443910.