title: Statistical Methods for Transcriptome-Wide Analysis of RNA Methylation by Bisulfite Sequencing.
abstract: For the transcriptome-wide detection and quantification of the 5-methylcytosine (m5C) methylation modification of RNA, one experimental approach is via bisulfite conversion. In this chapter we discuss statistical methods, and a corresponding computational pipeline, to perform transcriptome-wide differential m5C methylation analysis between RNA samples, specialized for this assay.
authors.affiliation: Department of Biology, New York University, 100 Washington Sq East, New York, NY, 10003, USA. brian.parker@nyu.edu.
authors.forename: Brian J
authors.initials: BJ
authors.lastname: Parker
mesh_terms: D044503:5-Methylcytosine; D019295:Computational Biology / Q000379:methods; D044127:Epigenesis, Genetic; D057890:Epigenomics / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods; D015723:Gene Library; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D008745:Methylation; D015233:Models, Statistical; D012313:RNA / Q000737:chemistry / Q000235:genetics*; D015203:Reproducibility of Results; D012984:Software; D059467:Transcriptome
chemical_list: D012313:RNA; D044503:5-Methylcytosine
keywords: 5-methylcytosine; Bisulfite conversion; Differential methylation; Epitranscriptomics; High-throughput sequencing; RNA methylation