Noncoding sequence classification based on wavelet transform analysis: part I

Autor: Radu Ranta, Rebeca Romo-Vázquez, Hugo Vélez-Pérez, Omar Paredes, Michelle K. Scholl, Marija Strojnik, Guillermo Garcia-Torales, J. A. Morales
Přispěvatelé: Universidad de Guadalajara, Centro de Investigaciones Ópticas [La Plata] (CIOp), Comisión de Investigaciones Científicas [Buenos Aires] (CIC)-Universidad Nacional de la Plata [Argentine] (UNLP)-Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: SPIE Optical Engineering + Applications
SPIE Optical Engineering + Applications, Aug 2017, San Diego, CA, United States. ⟨10.1117/12.2274460⟩
DOI: 10.1117/12.2274460⟩
Popis: Published in Proc. SPIE 10403, Infrared Remote Sensing and Instrumentation XXV, 104030V, 7 September 2017; International audience; DNA sequences in human genome can be divided into the coding and noncoding ones. Coding sequences are those that are read during the transcription. The identification of coding sequences has been widely reported in literature due to its much-studied periodicity. Noncoding sequences represent the majority of the human genome. They play an important role in gene regulation and differentiation among the cells. However, noncoding sequences do not exhibit periodicities that correlate to their functions. The ENCODE (Encyclopedia of DNA elements) and Epigenomic Roadmap Project projects have cataloged the human noncoding sequences into specific functions. We study characteristics of noncoding sequences with wavelet analysis of genomic signals.
Databáze: OpenAIRE