m7G Predictor
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RNA Site
Click to view the descriptions of different models.
A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites
Read MoreIdentifying N7-methylguanosine sites based on dinucleotide physicochemical properties of RNA
Read MoreAn improved machine learning-based model for predicting internal m7G modifications using sequence properties
Read More1.Enter your sequence here, or select a file. You can choose either a TXT or FASTA file.
2.The system will default to the selected file, ensuring that the input file meets the format of the example.
RNA sequence length must be equal to 41
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RNA Site
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