Dependency:
python==3.8
numpy==1.21.5
tensorflow==2.3.0
pandas==1.1.0
Usage:
python test.py -model humanbrain -test_fasta test.fasta -out_dir out
Notes:
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The script test.py is used to predict m6A sites from a given file with fasta format containing RNA sequences.
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model: enter the name of the specie and tissue, for example human liver、mouse heart、rat kidney
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test_fasta: an input file containing query RNA sequences with fasta format.
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out: the name of output directory.