Skip Navigation

Nucleic Acids Research 2004 32(Web Server Issue):W475-W484; doi:10.1093/nar/gkh353
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (523K) Freely available
Right arrow Supplementary Material
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Karanam, S.
Right arrow Articles by Moreno, C. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Karanam, S.
Right arrow Articles by Moreno, C. S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2004, the authors
Nucleic Acids Research, Vol. 32, Web Server issue © Oxford University Press 2004; all rights reserved

CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets

Suresh Karanam1,2 and Carlos S. Moreno2,*

1 Program in Bioinformatics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA and 2 Department of Pathology and Laboratory Medicine and Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA

* To whom correspondence should be addressed at Whitehead Biomedical Research Building, Room 105A, 615 Michael St., Atlanta, GA 30322, USA. Tel: +1 404 712 2809; Fax: +1 404 727 8538; Email: cmoreno{at}emory.edu

Received January 29, 2004; Revised and Accepted February 23, 2004

The advent of DNA microarray technology and the sequencing of multiple vertebrate genomes has provided a unique opportunity for the integration of comparative genomics with high-throughput gene expression analysis. Here we describe the conserved transcription factor binding site (CONFAC) software that enables the high-throughput identification of conserved transcription factor binding sites (TFBSs) in the regulatory regions of hundreds of genes at a time (http://morenolab.whitehead.emory.edu/cgi-bin/confac/login.pl). The CONFAC software compares non-coding regulatory sequences between human and mouse genomes to enable identification of conserved TFBSs that are significantly enriched in promoters of gene clusters from microarray analyses compared to sets of unchanging control genes using a Mann–Whitney U-test. Analysis of random gene sets demonstrated that using our approach, over 98% of TFBSs had false positive rates below 5%. As a proof-of-principle, we have validated the CONFAC software using gene sets from four separate microarray studies and identified TFBSs known to be functionally important for regulation of each of the four gene sets.


The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Mol. Cell. Biol.Home page
T. Copetti, C. Bertoli, E. Dalla, F. Demarchi, and C. Schneider
p65/RelA Modulates BECN1 Transcription and Autophagy
Mol. Cell. Biol., May 15, 2009; 29(10): 2594 - 2608.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
C. D. Scharer, C. D. McCabe, M. Ali-Seyed, M. F. Berger, M. L. Bulyk, and C. S. Moreno
Genome-Wide Promoter Analysis of the SOX4 Transcriptional Network in Prostate Cancer Cells
Cancer Res., January 15, 2009; 69(2): 709 - 717.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
C. D. McCabe, D. D. Spyropoulos, D. Martin, and C. S. Moreno
Genome-Wide Analysis of the Homeobox C6 Transcriptional Network in Prostate Cancer
Cancer Res., March 15, 2008; 68(6): 1988 - 1996.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
L. N. Singh, L.-S. Wang, and S. Hannenhalli
TREMOR a tool for retrieving transcriptional modules by incorporating motif covariance
Nucleic Acids Res., December 18, 2007; 35(21): 7360 - 7371.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
V. X. Jin, H. O'Geen, S. Iyengar, R. Green, and P. J. Farnham
Identification of an OCT4 and SRY regulatory module using integrated computational and experimental genomics approaches
Genome Res., June 1, 2007; 17(6): 807 - 817.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
I. B. Jeffery, S. F. Madden, P. A. McGettigan, G. Perriere, A. C. Culhane, and D. G. Higgins
Integrating transcription factor binding site information with gene expression datasets
Bioinformatics, February 1, 2007; 23(3): 298 - 305.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
V. X. Jin, A. Rabinovich, S. L. Squazzo, R. Green, and P. J. Farnham
A computational genomics approach to identify cis-regulatory modules from chromatin immunoprecipitation microarray data--A case study using E2F1
Genome Res., December 1, 2006; 16(12): 1585 - 1595.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
I. J. Donaldson and B. Gottgens
TFBScluster web server for the identification of mammalian composite regulatory elements.
Nucleic Acids Res., July 1, 2006; 34(Web Server issue): W524 - W528.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
P. Liu, S. Ramachandran, M. Ali Seyed, C. D. Scharer, N. Laycock, W. B. Dalton, H. Williams, S. Karanam, M. W. Datta, D. L. Jaye, et al.
Sex-determining region y box 4 is a transforming oncogene in human prostate cancer cells.
Cancer Res., April 15, 2006; 66(8): 4011 - 4019.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
L.-W. Chang, R. Nagarajan, J. A. Magee, J. Milbrandt, and G. D. Stormo
A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles
Genome Res., March 1, 2006; 16(3): 405 - 413.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
S. J. Ho Sui, J. R. Mortimer, D. J. Arenillas, J. Brumm, C. J. Walsh, B. P. Kennedy, and W. W. Wasserman
oPOSSUM: identification of over-represented transcription factor binding sites in co-expressed genes
Nucleic Acids Res., June 2, 2005; 33(10): 3154 - 3164.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.