Exome-based analysis for RNA epigenome sequencing data

Jia Meng, Xiaodong Cui, Manjeet K. Rao, Yidong Chen, Yufei Huang

Producción científica: Articlerevisión exhaustiva

126 Citas (Scopus)

Resumen

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.

Idioma originalEnglish (US)
Páginas (desde-hasta)1565-1567
Número de páginas3
PublicaciónBioinformatics
Volumen29
N.º12
DOI
EstadoPublished - jun 15 2013

ASJC Scopus subject areas

  • Computational Mathematics
  • Molecular Biology
  • Biochemistry
  • Statistics and Probability
  • Computer Science Applications
  • Computational Theory and Mathematics

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