Predicting vertebrate promoters using heterogeneous clusters

Authors:
Fang-Yie Leu;Lun-Ni Yang;Neng-Wen Lo;I-Long Lin
Affiliations:
Department of Computer Science, Tunghai University, 40799, Taiwan.;Department of Computer Science, Tunghai University, 40799, Taiwan.;Department of Animal Science and Biotechnology, Tunghai University, 40799, Taiwan.;Department of Information Management, Central Police University, 33304, Taiwan
Venue:
International Journal of Ad Hoc and Ubiquitous Computing
Year:
2010

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Abstract

This paper proposes a system, named the Vertebrate Promoter Prediction System (VePPS), which employs a new statistics-based approach to predict vertebrate promoters, and analyses a putative promoter sequence by investigating the presence of short promoter-specific sequences and known transcription factor binding sites. In comparison with other prediction programmes, our VePPS outperformed, e.g., promoter 2.0, by 38.0% and 12.7% in predicting promoter and non-promoter sequences, respectively.