Genomic Signal Analysis of HIV Variability

摘要

The conversion of genomic sequences into digital genomic signals offers the possibility to use powerful signal processing methods for the analysis of genomic information. The study of genomic signals reveals local and global features of chromosomes that would be difficult to identify by using only the symbolic representation used in genomic data bases. The paper presents a study of HTV variability using standard 'wet' methods of nucleotide sequence analysis, corroborated with IT techniques based on the genomic signal approach. Specifically, Independent Component Analysis is used to characterize the variability defining the F subtype HIV strains isolated in Romania.