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Coding Region Prediction in Genomic Sequences Using a Combination of Digital Signal Processing Approaches

  • Aníbal Rodríguez Fuentes
  • Juan V. Lorenzo Ginori
  • Ricardo Grau Ábalo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)

Abstract

Identifying protein coding regions in DNA sequences is a basic step in the location of genes. Several approaches based on signal processing tools have been applied to solve this problem, trying to achieve more accurate predictions. This paper presents a new predictor that improves the efficacy of three ones that use the Fourier Transform to predict coding regions, and that could be computed using an algorithm that reduces the computation load. ROC curves are used to demonstrate the efficacy of the proposed predictor, based on the computation of 25 DNA sequences from three different organisms.

Keywords

Bioinformatics Digital Signal Processing Fourier Transform Coding region prediction Computational load reduction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Aníbal Rodríguez Fuentes
    • 1
  • Juan V. Lorenzo Ginori
    • 1
  • Ricardo Grau Ábalo
    • 2
  1. 1.Center for Studies on Electronics and Information Technologies 
  2. 2.Center for Studies on Informatics, Universidad Central “Marta Abreu” de Las Villas, Carretera a Camajuaní, km 5 1/2, Santa Clara, VC, CP 54830Cuba

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