Identifying m6Am sites with a CatBoost-based model:
·In this research, we could greatly benefit from the rapid revolution of computational methods which can be used to train models and identify sites;
·Our system extracts features in the sequences through nine ways, which greatly improve the accuracy of identifying whether the sample sequences
 contained m6Ams or non-m6Ams sites;
·An online webserver which is freely available for the public is established;
·The performance of our tool is superior to the state-of-the-art tools with the same genomic dataset.