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Proceedings Paper

Genomic signal analysis of HIV variability
Author(s): Paul Dan Cristea; Dan Otelea M.D.; Rodica Aurora Tuduce
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Paper 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.

Paper Details

Date Published: 29 March 2005
PDF: 11 pages
Proc. SPIE 5699, Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III, (29 March 2005); doi: 10.1117/12.587035
Show Author Affiliations
Paul Dan Cristea, Univ. Politehnica Bucuresti (Romania)
Dan Otelea M.D., M. Bals Institute of Infectious Diseases (Romania)
Rodica Aurora Tuduce, Univ. Politehnica Bucuresti (Romania)


Published in SPIE Proceedings Vol. 5699:
Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III
Dan V. Nicolau; Dan V. Nicolau; Jörg Enderlein; Ramesh Raghavachari; Robert C. Leif; Daniel L. Farkas, Editor(s)

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