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Noncoding sequence classification based on wavelet transform analysis: part II
Author(s): O. Paredes; M. Strojnik; R. Romo-Vázquez; H. Vélez-Pérez; R. Ranta; G. Garcia-Torales; M. K. Scholl; J. A. Morales
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Paper Abstract

DNA sequences in human genome can be divided into the coding and noncoding ones. We hypothesize that the characteristic periodicities of the noncoding sequences are related to their function. We describe the procedure to identify these characteristic periodicities using the wavelet analysis. Our results show that three groups of noncoding sequences, each one with different biological function, may be differentiated by their wavelet coefficients within specific frequency range.

Paper Details

Date Published: 7 September 2017
PDF: 6 pages
Proc. SPIE 10403, Infrared Remote Sensing and Instrumentation XXV, 1040317 (7 September 2017); doi: 10.1117/12.2286556
Show Author Affiliations
O. Paredes, Univ. de Guadalajara (Mexico)
M. Strojnik, Ctr. de Investigaciones en Óptica, A.C. (Mexico)
R. Romo-Vázquez, Univ. de Guadalajara (Mexico)
H. Vélez-Pérez, Univ. de Guadalajara (Mexico)
R. Ranta, CRAN, ENSEM, Univ. de Lorraine (France)
G. Garcia-Torales, Ctr. de Investigaciones en Óptica, A.C. (Mexico)
Univ. de Guadalajara (Mexico)
M. K. Scholl, Alenka Associates (United States)
J. A. Morales, Univ. de Guadalajara (Mexico)


Published in SPIE Proceedings Vol. 10403:
Infrared Remote Sensing and Instrumentation XXV
Marija Strojnik; Maureen S. Kirk, Editor(s)

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