Noncoding sequence classification based on wavelet transform analysis: part I

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

doi:10.1117/12.2274460

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

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; 104030V (2017) https://doi.org/10.1117/12.2274460
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. 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.

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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 I", Proc. SPIE 10403, Infrared Remote Sensing and Instrumentation XXV, 104030V (7 September 2017); https://doi.org/10.1117/12.2274460

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