Indian Agricultural Statistics Research Institute, New Delhi-110 012
*Present address: Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi 110 012
**Corresponding author's e-mail: rao.cshl.work@gmail.com
Online published on 5 February, 2014.
The Omic revolution has generated voluminous genome sequence data. The discovery of genomic elements like genes, splice sites, regulatory motifs and transcription factor binding sites have become thrust areas of bioinformatics. The transcription factors are the proteins that bind to the transcription factor binding sites on the genome to regulate the gene expression. Thus, the identification of transcription factor binding sites and their genomic co-ordinates has been a prime interest in genomic research to understand the underlying mechanism of gene expression. Various experimental and computational approaches have been used to detect these sites. In this paper, Gibbs sampling has been applied to identify transcription factor binding sites and is discussed in terms of its parameters, model and procedures using the sequence data of Arabidopsis thaliana.
Gene expression, transcription factors, statistical techniques, genomic elements