Abstract
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.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.
Original language | English |
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Pages (from-to) | 1565-1567 |
Number of pages | 3 |
Journal | Bioinformatics |
Volume | 29 |
Issue number | 12 |
DOIs | |
Publication status | Published - 15 Jun 2013 |
Externally published | Yes |