Analysis of High-Throughput RNA Bisulfite Sequencing Data

Dietmar Rieder; Francesca Finotello

doi:10.1007/978-1-4939-6807-7_10

Analysis of High-Throughput RNA Bisulfite Sequencing Data

Methods Mol Biol. 2017:1562:143-154. doi: 10.1007/978-1-4939-6807-7_10.

Authors

Dietmar Rieder¹, Francesca Finotello²

Affiliations

¹ Division of Bioinformatics, Biocenter, Medical University of Innsbruck, Innrain 80/IV, Innsbruck, 6020, Austria. [email protected].
² Division of Bioinformatics, Biocenter, Medical University of Innsbruck, Innrain 80/IV, Innsbruck, 6020, Austria.

PMID: 28349459
DOI: 10.1007/978-1-4939-6807-7_10

Abstract

Methylation of the 5-cytosine (m⁵C) is a common but not well-understood RNA modification, which can be detected by sequencing of bisulfite-treated transcripts (RNA-BSseq). In this Chapter, we discuss computational RNA-BSseq data analysis methods for transcriptome-wide identification and quantification of m⁵C.

Keywords: (Cytosine-5) methylation; 5-methylcytosine; Bisulfite conversion; Data analysis; Differential methylation; High-throughput sequencing; Modification; RNA; RNA methylation; RNA modification; RNA-BSseq; Sodium bisulfite; Transcription; m5C.

MeSH terms

5-Methylcytosine
Base Composition
Computational Biology / methods
High-Throughput Nucleotide Sequencing*
Methylation
Quality Control
RNA / chemistry
RNA / genetics*
Sequence Analysis, RNA* / methods
Software
Transcriptome

Substances

RNA
5-Methylcytosine