Tips:

The input file should be a FASTA format file containing sequences of plant mitochondrial protein-coding genes. The file can contain a single sequence or multiple sequences. Once the file is uploaded, this module will use the model trained by Deepredmt to predict the probability of C-to-U RNA editing occurring at each cytosine in the sequences and return these probability values.

If you use this module, please remember to cite: Edera AA, Small I, Milone DH, Sanchez-Puerta MV: Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria. Comput Biol Med 2021, 136:104682.

The input mitochondrial protein-coding gene sequences should be in FASTA format. Here is a sample: FASTA File