riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35157051.
- Also identified by DOI 10.1093/bioinformatics/btac093 and PMC identifier 9004635.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Ribosome profiling, or Ribo-seq, is the state-of-the-art method for quantifying protein synthesis in living cells. Computational analysis of Ribo-seq data remains challenging due to the complexity of the procedure, as well as variations introduced for specific organisms or specialized analyses. We present riboviz 2, an updated riboviz package, for the comprehensive transcript-centric analysis and visualization of Ribo-seq data. riboviz 2 includes an analysis workflow built on the Nextflow workflow management system for end-to-end processing of Ribo-seq data. riboviz 2 has been extensively tested on diverse species and library preparation strategies, including multiplexed samples. riboviz 2 is flexible and uses open, documented file formats, allowing users to integrate new analyses with the pipeline. riboviz 2 is freely available at github.com/riboviz/riboviz.
Medical subject headings
- Ribosomes
- Ribosome Profiling