m7GHub V2.0 an updated database for decoding the N7-methylguanosine (m7G) epitranscriptome

m7GFinder

A deep learning-based high accuracy m7G predictor covering m7G identification in four different species


Note: please provide RNA sequences using the standard FASTA format as shown in the example. The m7GFinder reports the prediction label at the bag level (the entire input sequence), rather than a specific nucleotide.The recommend length of each input sequence is between 41 to 400 nt (minimum: 41 nt). Long sequences ( >1000 nt) will be split into several sub-sequences for analysis..
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