DocumentCode :
2227974
Title :
Spectral analysis of DNA sequences by entropy minimization
Author :
Galleani, Lorenzo ; Garello, Roberto
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turin, Italy
fYear :
2006
fDate :
4-8 Sept. 2006
Firstpage :
1
Lastpage :
5
Abstract :
Spectral analysis can be applied to study base-base correlation in DNA sequences. A key role is played by the mapping between nucleotides and real/complex numbers. In this paper, we present a new approach where the mapping is not kept fixed: it is allowed to vary aiming to minimize the spectrum entropy, thus detecting the main hidden periodicities. The new technique is first introduced and discussed through a number of case studies, then extended to encompass time-frequency analysis.
Keywords :
biology computing; minimum entropy methods; molecular biophysics; DNA sequence; base-base correlation; entropy minimization; nucleotide mapping; spectral analysis; spectrum entropy; time-frequency analysis; Abstracts; Correlation; Entropy; Labeling; Radio access networks; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
ISSN :
2219-5491
Type :
conf
Filename :
7071754
Link To Document :
بازگشت