Welcome to the Home Page of 4mCpred-EL

This is the first predictor for mouse genome. In 4mCpred-EL, we generated 28 probabilistic features based on four different machine learning algorithms (SVM, RF, ERT, & GB) and seven sequence-based feature encodings (Kmer, RFHC, BPF, LPDF, EIIP, DPCP, & TPCP) that cover diverse information, including compositional, physicochemical information, and nucleotide position-specific, etc. Consequently, these probabilistic features inputted SVM, RF, ERT & GB, whose majority vote will be considered as the final estimate. For a given DNA sequence, 4mCpred-EL predicts its calss and probability values.

Paste or upload Mouse DNA sequence below

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Sample FASTA sequences

>P1
CGTCATATTAAGCTTACTCTCTTACCAGCTTTTTTTACGAG
>P2
TGAGCTTATGACGGTAGAAGCATACCCCTTTATAAAACTCA
>P3
AAGAGCGCTTCATGTGTCACCATACTTTTGGCGCACCCTGT
>N1
TAGGCTAGATTCAAAAGTGACGTATGGAACTAGTTGATCTT
>N2
TGATAAAGTCCGCTCGATAGCGTTTCGGTTTTTAATCTGTC
>N3
AAGTTATCATGGGGAGGAAACGAAGAATGGAGAGAGGTACG