Identification of DNA methylation sites

Step.1: Input sequences in fasta format

Dataset:
  

Sample fasta Sequence(s)

>6mA_A.thaliana_1|1
TTTTTATTTTGTCAACCACCATTATATATACATATATTTAT
>6mA_A.thaliana_2|1
ATATATAACTATAAATATTTATATAACAACTTTTAAGTTTA
>6mA_A.thaliana_3|1
CCTCTGCATAGTTGTTCAGAACCGAGAAAAATTCACATCAA
>6mA_A.thaliana_4|0
GTCACTACTCTGTTTCATATAATATAGGAACCAGAGTAACT
>6mA_A.thaliana_5|0
TTAATGAGTTCAATAGTTTGATTTTGAATTGCAAAGTTCAT
>6mA_A.thaliana_6|0
TCGTAATTAACAACGTGAGCAAAACAACAATTTTTAATTCG

Instructions

To use the classifier to predict DNA methylation sites from sequence, either:

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

Fasta must be the same format like sample

If the length of a sequence is less than 41 nt, it will not be predicted.

If the length of a sequence is longer than 41 nt, it will be divided into sub-sequences whose length is 41 nt.

Sequence No. means which sequence the sub-sequence belongs to; Sequence position means which position the sub-sequence starts with.

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 1.8.0_152
  • IntelliJ IDEA
  • Pycharm
  • Python 3.9
  • Pytorch
  • scikit-learn
  • numpy
  • matplotlib