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riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow

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 an...

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Detalles Bibliográficos
Autores principales: Cope, Alexander L, Anderson, Felicity, Favate, John, Jackson, Michael, Mok, Amanda, Kurowska, Anna, Liu, Junchen, MacKenzie, Emma, Shivakumar, Vikram, Tilton, Peter, Winterbourne, Sophie M, Xue, Siyin, Kavoussanakis, Kostas, Lareau, Liana F, Shah, Premal, Wallace, Edward W J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004635/
https://www.ncbi.nlm.nih.gov/pubmed/35157051
http://dx.doi.org/10.1093/bioinformatics/btac093
Descripción
Sumario: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.