| Literature DB >> 28968766 |
Hongwei Wang1, Yan Wang1, Zhi Xie1.
Abstract
Ribosome profiling is emerging as a powerful technique that enables genome-wide investigation of in vivo translation at sub-codon resolution. The increasing application of ribosome profiling in recent years has achieved remarkable progress toward understanding the composition, regulation and mechanism of translation. This benefits from not only the awesome power of ribosome profiling but also an extensive range of computational resources available for ribosome profiling. At present, however, a comprehensive review on these resources is still lacking. Here, we survey the recent computational advances guided by ribosome profiling, with a focus on databases, Web servers and software tools for storing, visualizing and analyzing ribosome profiling data. This review is intended to provide experimental and computational biologists with a reference to make appropriate choices among existing resources for the question at hand.Mesh:
Year: 2019 PMID: 28968766 DOI: 10.1093/bib/bbx093
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622