Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/bti387
Title: Promoter modeling: The case study of mammalian histone promoters
Authors: Chowdhary, R.
Ali, R.A. 
Albig, W.
Doenecke, D.
Bajic, V.B.
Issue Date: 1-Jun-2005
Citation: Chowdhary, R., Ali, R.A., Albig, W., Doenecke, D., Bajic, V.B. (2005-06-01). Promoter modeling: The case study of mammalian histone promoters. Bioinformatics 21 (11) : 2623-2628. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/bti387
Abstract: Motivation: Histone proteins play important roles in chromosomal functions. They are significantly evolutionarily conserved across species, which suggests similarity in their transcription regulation. The abundance of experimental data on histone promoters provides an excellent background for the evaluation of computational methods. Our study addresses the issue of how well computational analysis can contribute to unveiling the biologically relevant content of promoter regions for a large number of mammalian histone genes taken across several species, and suggests the consensus promoter models of different histone groups. Results: This is the first study to unveil the detailed promoter structures of all five mammalian histone groups and their subgroups. This is also the most comprehensive computational analysis of histone promoters performed to date. The most exciting fact is that the results correlate very well with the biologically known facts and experimental data. Our analysis convincingly demonstrates that computational approach can significantly contribute to elucidation of promoter content (identification of biologically relevant signals) complementing tedious wet-lab experiments. We believe that this type of analysis can be easily applied to other functional gene classes, thus providing a general framework for modelling promoter groups. These results also provide the basis to hunt for genes co-regulated with histone genes across mammalian genomes. © The Author 2005. Published by Oxford University Press. All rights reserved.
Source Title: Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/105314
ISSN: 13674803
DOI: 10.1093/bioinformatics/bti387
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Sep 21, 2022

WEB OF SCIENCETM
Citations

10
checked on Sep 21, 2022

Page view(s)

124
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.