RNA modification

PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants

N6-methyladenosine (m6A), which is the mostly prevalent modification in eukaryotic mRNAs, is involved in gene expression regulation and many RNA metabolism processes. Accurate prediction of m6A modification is important for understanding its …

Evolutionary implications of the RNA N6-methyladenosine methylome in plants

Epigenetic modifications play important roles in genome evolution and innovation. However, most analyses have focused on the evolutionary role of DNA modifications, and little is understood about the influence of post-transcriptional RNA …

deepEA

deepEA a containerized web server for interactive analysis of epitranscriptome sequencing data

deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data

RNA molecules are decorated with a variety of chemical modifications, which make up an epitranscriptome that extensively regulates gene expression and biological processes. With the recent development of high-throughput experimental technologies, …

Epitranscriptome

Bioinformatics approaches for epitranscriptome analysis and their applications

PEA-m5C

Machine learning-based m5C prediction

Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning

The emergence of epitranscriptome opened a new chapter in gene regulation. 5-methylcytosine (m5C), as an important post-transcriptional modification, has been identified to be involved in a variety of biological processes such as subcellular …