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Communication Dans Un Congrès Année : 2017

Noncoding sequence classification based on wavelet transform analysis: part II

Résumé

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.
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Dates et versions

hal-03005809 , version 1 (14-11-2020)

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Citer

Omar Paredes, Marija Strojnik, Rebeca Romo Vázquez, Hugo Vélez Pérez, Radu Ranta, et al.. Noncoding sequence classification based on wavelet transform analysis: part II. SPIE Optical Engineering + Applications, Aug 2017, San Diego, CA, United States. ⟨10.1117/12.2286556⟩. ⟨hal-03005809⟩
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