Lecture Notes in Computer Science, 2006, Volume 4223/2006, 1058-1061, DOI: 10.1007/11881599_131

Transcription Factor Binding Sites Prediction Based on Sequence Similarity

Jeong Seop Sim and Soo-Jun Park

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Abstract

Sequence algorithms are widely used to study genomic sequences in such fields as DNA fragment assembly, genomic sequence similarities, motif search, etc. In this paper, we propose an algorithm that predicts transcription factor binding sites from a given set of sequences of upstream regions of genes using sequence algorithms, suffix arrays and the Smith-Waterman algorithm.
This work was supported by INHA UNIVERSITY Research Grant (INHA-32744).

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