Title :
Nucleotide genomic signal analysis
Author :
Cristea, Paul Dan ; Tuduce, Rodica ; Cornelis, Jan ; Munteanu, Adrian
Author_Institution :
Bio-Med. Eng. Center, Univ. "Politeh." of Bucharest, Bucharest
Abstract :
Nucleotide genomic signal (NGS) analysis reveals surprising regularities in the distribution of nucleotides and pairs of nucleotides, in both prokaryotes and eukaryotes. These features of genomic sequences would be difficult to identify by using only standard symbolic sequence analysis. NGS analysis is also efficient in the analysis of local structural features, in particular for the study of pathogen variability. This is important for the molecular level detection of mutations that induce drug resistance, providing the clinician with information needed for fast and accurate decisions.
Keywords :
genomics; medical signal processing; statistical analysis; eukaryotes; genomic sequences; molecular level detection; nucleotide genomic signal analysis; pathogen variability; prokaryotes; symbolic sequence analysis; Bioinformatics; Biological cells; Drugs; Genetic mutations; Genomics; Immune system; Pathogens; Sequences; Signal analysis; Signal processing; Exon re-orientation; Inserts; Nucleotide genomic signals; Pathogen variability;
Conference_Titel :
Signals and Electronic Systems, 2008. ICSES '08. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-88309-47-2
Electronic_ISBN :
978-83-88309-52-6
DOI :
10.1109/ICSES.2008.4673398