Genomic signal analysis of HIV variability

Paul Dan Cristea; Dan Otelea M.D.; Rodica Aurora Tuduce

doi:10.1117/12.587035

29 March 2005 Genomic signal analysis of HIV variability

Paul Dan Cristea, Dan Otelea M.D., Rodica Aurora Tuduce

Proceedings Volume 5699, Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III; (2005) https://doi.org/10.1117/12.587035
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

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 HIV 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.

Citation Download Citation

Paul Dan Cristea, Dan Otelea M.D., and Rodica Aurora Tuduce "Genomic signal analysis of HIV variability", Proc. SPIE 5699, Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III, (29 March 2005); https://doi.org/10.1117/12.587035

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