Genomic signal analysis: Study of pathogen variability

Author

Cristea, Paul Dan

Author_Institution

Bio-Med. Eng. Center, Politeh. Univ. of Bucharest, Bucharest

fYear

2006

fDate

28-30 May 2006

Firstpage

51

Lastpage

52

Abstract

The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to analyze genomic data. The method works well for the study of small genomic sequences, such as in the genomes of viruses and bacteria, and is adequate for monitoring their variability and tracking the development of drug resistance. The paper is based on data downloaded from NIH GenBank, and compares the Hemagglutinin (HA) gene in human and avian isolates of the influenza type A, subtype H5N1, virus.

Keywords

data analysis; diseases; genetics; medical signal processing; microorganisms; sequences; bacteria; digital signal processing; drug resistance; genomic data analysis; genomic sequence; genomic signal analysis; pathogen variability; symbolic nucleotide sequence; virus; Bioinformatics; Data analysis; Digital signal processing; Genomics; Microorganisms; Monitoring; Pathogens; Signal analysis; Signal processing; Viruses (medical);

fLanguage

English

Publisher

ieee

Conference_Titel

Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on

Conference_Location

College Station, TX

Print_ISBN

1-4244-0384-7

Electronic_ISBN

1-4244-0385-5

Type

conf

DOI

10.1109/GENSIPS.2006.353151

Filename

4161772