BMC Genomics: A hierarchical model for clustering m6A methylation peaks in MeRIP-seq data
Xiaodong Cui, Jia Meng, Shaowu Zhang, Manjeet K. Rao, Yidong Chen & Yufei Huang
Abstract
Background
The recent advent of the state-of-art high throughput sequencing technology, known as Methylated RNA Immunoprecipitation combined with RNA sequencing (MeRIP-seq) revolutionizes the area of mRNA epigenetics and enables the biologists and biomedical researchers to have a global view of N 6-Methyladenosine (m6A) on the transcriptome. Yet there is a significant need for new computation tools for processing and analyzing MeRIP-Seq data to gain further insight into the function and m6A mRNA methylation.
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