Predict and annotate single-nucleotide-resolution m6As
Robust prediction model (AUC >85%)
Statistics, analysis and visualization
N6-methyladenosine (m6A) is one of the most abundant RNA modifications presenting in eukaryotes, which involves in almost all aspects of RNA metabolism, including mRNA transcription, splicing, stability, nuclear export and translation efficiency.
m6A Finder is a user-friendly web server that dedicated to predict and annotate m6As at single-nucleotide resolution.
To construct the prediction model, we extracted 60 sequence distribution and 27 secondary structure features from the flanking regions around the methylated adenosine. With the Random Forest algorithm, we have trained two accurate prediction models for human and mouse, respectively. The evaluation on additional test data set has proven that the area under ROC curve (ROC) of both models are larger than 85%
The web server will conduct a comprehensive annotation and statistics analysis for all the predicted m6A residues. Serval statistical diagrams and a genome browser are provided to visualize the topology characteristics of predicted m6A sites.