Title :
Phase and Vector Analysis of H5N1 Avian Influenza Virus
Author :
Cristea, Paul Dan
Author_Institution :
Bio-Medical Engineering Center, "Politehnica" University of Bucharest, Romania, pcristea@dsp.pub.ro
Abstract :
Conversion of nucleotide sequences into digital signals reveals surprising regularities in the distribution of nucleotides and pairs of nucleotides, in both prokaryotes and eukaryotes. Structurally, a genome appears to be less of a "plain text" expressing some content in accordance to certain semantics and grammar rules, but more of a "poem", obeying rules of symmetry similar to "rhythm" and "rhyme". Recurrent patterns in nucleotide sequences are reflected in simple mathematical regularities satisfied by the genomic signals. This approach allows to reveal patterns and restrictions in pathogen variability and to monitor the development of drug resistance. The paper presents some results for the H5N1 Avian influenza virus.
Keywords :
Bioinformatics; DNA; Drugs; Genomics; Immune system; Influenza; Pathogens; Sequences; Signal analysis; Signal processing; Genomic Signals; Pathogen Variability;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on
Conference_Location :
Belgrade, Serbia & Montenegro
Print_ISBN :
1-4244-0433-9
Electronic_ISBN :
1-4244-0433-9
DOI :
10.1109/NEUREL.2006.341191