| Literature DB >> 35171478 |
Carine Legrand1, Khanh Dao Duc2, Francesca Tuorto3,4.
Abstract
Ribosome profiling methods are based on high-throughput sequencing of ribosome-protected mRNA footprints and allow to study in detail translational changes. Bioinformatic and statistical tools are necessary to analyze sequencing data. Here, we describe our developed methods for a fast and reliable quality control of ribosome profiling data, to efficiently visualize ribosome positions and to estimate ribosome speed in an unbiased way. The methodology described here is applicable to several genetic and environmental conditions including stress and are based on the R package RiboVIEW and calculation of quantitative estimates of local and global translation speed, based on a biophysical model of translation dynamics.Entities:
Keywords: Bioinformatic analysis; Ribo-Seq; RiboVIEW; Ribosome profiling; TASEP
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Year: 2022 PMID: 35171478 DOI: 10.1007/978-1-0716-1975-9_9
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745