(34.229.113.106)
Users online: 1324    [ij] [ij] [ij] 
Email id
 

Indian Journal of Genetics and Plant Breeding (The)
Year : 2014, Volume : 74, Issue : 1
First page : ( 73) Last page : ( 80)
Print ISSN : 0019-5200. Online ISSN : 0975-6906.
Article DOI : 10.5958/j.0975-6906.74.1.010

Application of Gibbs sampling methodology for identification of transcription factor binding sites in MADS box family genes in Arabidopsis thaliana

Meher Prabina Kumar, Sahu Tanmaya Kumar, Rao A. R.*,**, Wahi S. D.

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.

Abstract

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.

Top

Keywords

Gene expression, transcription factors, statistical techniques, genomic elements.

Top

 
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
375,328,285 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.