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.

Since 2004, UT Health San Antonio, Greehey Children’s Cancer Research Institute’s (Greehey CCRI) mission has been to advance scientific knowledge relevant to childhood cancer, contribute to the understanding of its causes, and accelerate the translation of knowledge into novel therapies. Through the discovery, development, and dissemination of new scientific knowledge, Greehey CCRI strives to have a national and global impact on childhood cancer. Our mission consists of three key areas: research, clinical, and education.

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