Motivation: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; however, unique features of this new type of data call for novel computational techniques.#R##N##R##N#Result: Through examining the connections of RNA epigenome sequencing data with two well-studied data types, ChIP-Seq and RNA-Seq, we unveiled the salient characteristics of this new data type. The computational strategies were discussed accordingly, and a novel data processing pipeline was proposed that combines several existing tools with a newly developed exome-based approach ‘exomePeak’ for detecting, representing and visualizing the post-transcriptional RNA modification sites on the transcriptome.#R##N##R##N#Availability: The MATLAB package ‘exomePeak’ and additional details are available at http://compgenomics.utsa.edu/exomePeak/.#R##N##R##N#Contact:yufei.huang@utsa.edu or jmeng@mit.edu#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online.
['Jia Meng', 'Xiaodong Cui', 'Manjeet K. Rao', 'Yidong Chen', 'Yufei Huang']
Exome-based analysis for RNA epigenome sequencing data