Welcome to the Home Page of SDM6A

SMD6A is a two-layer ensemble method. This method utilizes five different feature encodings (RFHC, KNN, NUM, MBE, and DPE_LPF) and two classifiers (SVM and ERT). In the first-layer, five different encodings are integrated through ensemble approach indvidually for SVM and ERT. Whereas the second-layer, integrates SVM and ERT to make a final prediction. For a given DNA sequence, SMD6A predicts its calss and probability values.

Paste or upload Rice DNA sequence below (Input sequence should be fixed length of 41 bp)

File:

Sample FASTA sequences

>P1
ATATGTCATCAACTACAACAAGGTACCTGCAAACATATTTT
>P2
TTTTTTGCAAACACCGACCCAGGCGTCGGTTTTTTTTTTCC
>P3
TTCGCCCTTTGAGGACGACGACCCGTCATTCTGCACCATAA
>N1
TTTAGAGAGGATATTTTCTAAAGGAAATTTGGAAAGGGTCT
>N2
AAGAGAAGAATAAGCCTCAGAGGAGCATAATAATGATCTGT
>N3
TTTATGGGGGAAGTGGGGTGAGGCGATAAGGCGTAAAACAA