Welcome to the Home Page of Meta-4mCpred

This is the first meta predictor for 4mC site prediction. In meta-4mCpred, we employed a feature representation learning scheme and generated 56 features based on four different ML (machine learning) algorithms and seven sequence-based feature encodings that cover diverse information, including compositional, physicochemical information, and nucleotide position-specific, etc. Consequently, these features were used as an input to support vector machine to build the meta-prediction models. For a given DNA sequence, Meta-4mCpred predicts its calss and probability values.

Paste or upload Drosophila melanogaster DNA sequence below

File:

Sample FASTA sequences

>P1
AAAAAAAGAAGATGCGAAGGCAGTGAAAATAGCAGAAACAC
>P2
GTAACTCGCAACGTCAATTGCAGCAGAGGAGCAGACTTGTG
>P3
TAGAGAGGCCCGATAAAGAGCGGTCTCGAACTTCCCCCAGT
>N1
ACAACGAATGCAATAATAAACAACACAAAATAATTTAGGCA
>N2
GCATGCAGATTCTAGTAAAGCAGAAATGTGTCATTACAGAG
>N3
ACACAGCTGGTGGAAGTGCTCGGTAGAAATATTATATTTTT