Computational challenges, tools, and resources for analyzing co‐ and post‐transcriptional events in high throughput. (16th December 2014)

• Record Type: Journal Article
• Authors: Bahrami‐Samani, Emad; Vo, Dat T.; de Araujo, Patricia Rosa; Vogel, Christine; Smith, Andrew D.; Penalva, Luiz O. F.; Uren, Philip J.
• Is Part Of: Wiley interdisciplinary reviews. Volume 6:Number 3(2015:May/Jun.)
• Page Start: 291
• Page End: 310
• Publication Date: 2014-12-16
• Subjects: RNA -- Periodicals; 572.8805
• DOI: 10.1002/wrna.1274
• Languages: English
• ISSNs: 1757-7004

Abstract

Abstract : Co‐ and post‐transcriptional regulation of gene expression is complex and multifaceted, spanning the complete RNA lifecycle from genesis to decay. High‐throughput profiling of the constituent events and processes is achieved through a range of technologies that continue to expand and evolve. Fully leveraging the resulting data is nontrivial, and requires the use of computational methods and tools carefully crafted for specific data sources and often intended to probe particular biological processes. Drawing upon databases of information pre‐compiled by other researchers can further elevate analyses. Within this review, we describe the major co‐ and post‐transcriptional events in the RNA lifecycle that are amenable to high‐throughput profiling. We place specific emphasis on the analysis of the resulting data, in particular the computational tools and resources available, as well as looking toward future challenges that remain to be addressed. WIREs RNA 2015, 6:291–310. doi: 10.1002/wrna.1274 This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA