Computational Method for Classification of Avian Influenza A Virus Using DNA Sequence Information and Physicochemical Properties.

ABSTRACT: Accurate and fast characterization of the subtype sequences of Avian influenza A virus (AIAV) hemagglutinin (HA) and neuraminidase (NA) depends on expanding diagnostic services and is embedded in molecular epidemiological studies. A new approach for classifying the AIAV sequences of the HA and NA genes into subtypes using DNA sequence data and physicochemical properties is proposed. This method simply requires unaligned, full-length, or partial sequences of HA or NA DNA as input. It allows for quick and highly accurate assignments of HA sequences to subtypes H1-H16 and NA sequences to subtypes N1-N9. For feature extraction, k-gram, discrete wavelet transformation, and multivariate mutual information were used, and different classifiers were trained for prediction. Four different classifier

SUBMITTER: Humayun F 

PROVIDER: S-EPMC7877484 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature