Sequence Analysis and Prediction of the Influenza Virus Protein

Abstract:

Ten protein amino acid sequences of influenza virus were obtained from the National Center for Biotechnology Information （NCBI） from 1902 to 2013，which was analyzed using big data in MATLAB programming with the detailed HP model. Meanwhile，the protein sequences were converted to the data series based on the CGR - WALK model. The time series ARFIMA（p，d，q） was introduced to fit all the sequences. The analysis results indicated a good model with accurate prediction for the variation tendency in the next 10 years，which also provided a reference for the prediction of influenza virus using the big data analysis.