Motivation: 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.
Results: 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.
Availability And Implementation: riboviz 2 is freely available at github.com/riboviz/riboviz.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004635 | PMC |
http://dx.doi.org/10.1093/bioinformatics/btac093 | DOI Listing |
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