Identification of 4mC sites

Step.1: Input sequences in fasta format

Step.2: Select parameters

Choose confidence  

Choose 4mC sites type  

  

Sample fasta Sequence(s)

>AA_1|1
ACATTTTGACACCACGTGCACGGGTTGTGACTCTTCCACAA
>AA_2|1
GAAAACGGACAAGCCAAACCCCCGAGAGCTCAGTGGCGAGA
>AA_3|1
ATAAAACCCCACTTAAAAAGCGTGATTTTTCAATTCCCTCC
>AA_4|0
ATTACCCTTGAACAAGTAGTCGTATTCATCGTCACGAGAGA
>AA_5|0
GTATTCATCGTCACGAGAGCCCATCTTTACTGCTGAGCTGC
>AA_6|0
TGAAGCTTCTAGATATTTGGCGGGTACCTCTAATTTTGCCG

Instructions

To use the classifier to predict the type of one or more hydrogenases from sequence, either:

  • paste your FASTA-formatted protein sequences into the text area, or
  • upload a FASTA-formatted file with your protein sequences.

Fasta must be the same format like sample (The length of the sequence must be 41nt)

Press the "Submit" button to upload the sequences and begin the classification.

Waiting a moment and your results will be presented in web page.

Dependencies

  • Java 1.8
  • Keras 2.2.0
  • Eclipse
  • Python 2.7.x
  • pandas
  • scikit-learn
  • numpy
  • Tensorflow 1.18