iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome

DNA N4-Methylcytosine is a genetic modification process which has an essential role in changing different biological processes such as conformation, replication, stability, cell development and structural alteration DNA. Due to its negative effects, it important identify the modified 4mC sites. Further, methylcytosine may develop anywhere at cytosine residue, however, clonal gene expression patterns are most likely transmitted just for residues strand-symmetrical sequences. For this reason many experiments introduced but they proved not be viable choice due time limitation high expenses. Therefore, date there still need efficient computational method deal with sites identification. Keeping mind, research we have proposed model Fragaria vesca (F. vesca) Rosa chinensis (R. chinensis) genome. The iRG-4mC tool developed based on neural network architecture two encoding schemes predictor outperformed existing state-of-the-art by accuracy difference of 9.95% F. (training dataset), 8.7% R. chinesis 6.2% (independent dataset) 10.6% dataset). We also established webserver freely accessible community.