Epitranscriptomic subtyping, visualization, and denoising by global motif visualization.

ABSTRACT: Advances in sequencing technologies have empowered epitranscriptomic profiling at the single-base resolution. Putative RNA modification sites identified from a single high-throughput experiment may contain one type of modification deposited by different writers or different types of modifications, along with false positive results because of the challenge of distinguishing signals from noise. However, current tools are insufficient for subtyping, visualization, and denoising these signals. Here, we present iMVP, which is an interactive framework for epitranscriptomic analysis with a nonlinear dimension reduction technique and density-based partition. As exemplified by the analysis of mRNA m⁵C and ModTect variant data, we show that iMVP allows the identification of previously unk

SUBMITTER: Liu J 

PROVIDER: S-EPMC10517956 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature