Noncoding sequence classification based on wavelet transform analysis: part II

O. Paredes; M. Strojnik; R. Romo-Vázquez; H. Vélez-Pérez; R. Ranta; G. Garcia-Torales; M. K. Scholl; J. A. Morales

doi:10.1117/12.2286556

7 September 2017 Noncoding sequence classification based on wavelet transform analysis: part II

O. Paredes, M. Strojnik, R. Romo-Vázquez, H. Vélez-Pérez, R. Ranta, G. Garcia-Torales, M. K. Scholl, J. A. Morales

Proceedings Volume 10403, Infrared Remote Sensing and Instrumentation XXV; 1040317 (2017) https://doi.org/10.1117/12.2286556
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

O. Paredes, M. Strojnik, R. Romo-Vázquez, H. Vélez-Pérez, R. Ranta, G. Garcia-Torales, M. K. Scholl, and J. A. Morales "Noncoding sequence classification based on wavelet transform analysis: part II", Proc. SPIE 10403, Infrared Remote Sensing and Instrumentation XXV, 1040317 (7 September 2017); https://doi.org/10.1117/12.2286556

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