Genomic signal analysis of pathogen variability

Paul Dan Cristea

doi:10.1117/12.644034

21 February 2006 Genomic signal analysis of pathogen variability

Paul Dan Cristea

Proceedings Volume 6088, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV; 60880P (2006) https://doi.org/10.1117/12.644034
Event: SPIE BiOS, 2006, San Jose, California, United States

Abstract

The paper presents results in the study of pathogen variability by using genomic signals. The conversion of symbolic nucleotide sequences into digital signals offers the possibility to apply signal processing methods to the analysis of genomic data. The method is particularly well suited to characterize small size genomic sequences, such as those found in viruses and bacteria, being a promising tool in tracking the variability of pathogens, especially in the context of developing drug resistance. The paper is based on data downloaded from GenBank [32], and comprises results on the variability of the eight segments of the influenza type A, subtype H5N1, virus genome, and of the Hemagglutinin (HA) gene, for the H1, H2, H3, H4, H5 and H16 types. Data from human and avian virus isolates are used.

Citation Download Citation

Paul Dan Cristea "Genomic signal analysis of pathogen variability", Proc. SPIE 6088, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IV, 60880P (21 February 2006); https://doi.org/10.1117/12.644034

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