Building phylogenetic trees by using gene Nucleotide Genomic Signals.

Nucleotide genomic signal (NuGS) methodology allows a molecular level approach to determine distances between homologous genes or between conserved equivalent non-coding genome regions in various species or individuals of the same species. Therefore, distances between the genes of species or individuals can be computed and phylogenetic trees can be built. The paper illustrates the use of the nucleotide imbalance (N) and nucleotide pair imbalance (P) signals to determine the distances between the genes of several Hominidae.

Study of HIV Variability based on Genomic Signal Analysis of Protease and Reverse Transcriptase Genes.

The conversion of genomic sequences into digital genomic signals offers the possibility to use 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 the HIV Protease (PR) and Reverse Transcriptase (RT) genes by combining standard nucleotide sequence analysis with IT techniques based on the genomic signal approach.