alexa A Structured Evolutionary Algorithm for Identification of Transcription Factor Binding Sites in Unaligned DNA Sequences | OMICS International
ISSN: 0976-4860

International Journal of Advancements in Technology
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Research Article

A Structured Evolutionary Algorithm for Identification of Transcription Factor Binding Sites in Unaligned DNA Sequences

Shripal Vijayvargiya* and Pratyoosh Shukla

Department of Computer Science, Birla Institute of Technology B Jaipur Campus, Jaipur

Department of Biotechnology, Birla Institute of Technology, Jaipur Campus, Jaipur Mesra (Ranchi)

Corresponding Author:
Shripal Vijayvargiya
Department of Computer Science
Birla Institute of Technology
B Jaipur Campus, Jaipur
Email
: [email protected]

Abstract

Identification of Transcription Factor Binding Sites (TFBS) also called as motifs, from the upstream region of genes remains a highly important and unsolved problem particularly in higher eukaryotic genomes. In this paper, we propose an evolutionary approach to identify transcription factor binding sites. This approach is based on the structured genetic algorithm. In this approach an individual is represented as a structured tree that help us to find variable length motifs. A simple GA can find only fix length motif where as proposed method can find variable length motifs. We applied this approach on various data sets and the results show that it can find correct result both effective and efficient for binding sites.

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