Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2005 Jul 1;33(Web Server issue):W442-6.
doi: 10.1093/nar/gki420.

FOOTER: a web tool for finding mammalian DNA regulatory regions using phylogenetic footprinting

Affiliations

FOOTER: a web tool for finding mammalian DNA regulatory regions using phylogenetic footprinting

David L Corcoran et al. Nucleic Acids Res. .

Abstract

FOOTER is a newly developed algorithm that analyzes homologous mammalian promoter sequences in order to identify transcriptional DNA regulatory 'signals'. FOOTER uses prior knowledge about the binding site preferences of the transcription factors (TFs) in the form of position-specific scoring matrices (PSSMs). The PSSM models are generated from known mammalian binding sites from the TRANSFAC database. In a test set of 72 confirmed binding sites (most of them not present in TRANSFAC) of 19 TFs, it exhibited 83% sensitivity and 72% specificity. FOOTER is accessible over the web at http://biodev.hgen.pitt.edu/Footer/.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Flowchart of the execution of web-tool FOOTER. Protein or DNA sequences can be entered in the input. In the first case, a series of BLAST (15) searches will be performed to identify the homologous promoter sequences. The DNA sequences will be aligned and putative motifs will be compared pairwise as we describe in the text.
Figure 2
Figure 2
Example of FOOTER output. The predicted sites are presented in table format and in the PNG formatted figure. The figure displays the alignment of the two promoter sequences, colour-coded by conservation percentage.

Similar articles

Cited by

References

    1. Hughes J.D., Estep P.W., Tavazoie S., Church G.M. Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae. J. Mol. Biol. 2000;296:1205–1214. - PubMed
    1. Workman C.T., Stormo G.D. ANN-Spec: a method for discovering transcription factor binding sites with improved specificity. Pac. Symp. Biocomput. 2000:467–478. - PubMed
    1. Hertz G.Z., Hartzell G.W., III, Stormo G.D. Identification of consensus patterns in unaligned DNA sequences known to be functionally related. Comput. Appl. Biosci. 1990;6:81–92. - PubMed
    1. GuhaThakurta D., Stormo G.D. Identifying target sites for cooperatively binding factors. Bioinformatics. 2001;17:608–621. - PubMed
    1. Bailey T.L., Elkan C. The value of prior knowledge in discovering motifs with MEME. Proc. Int. Conf. Intell. Syst. Mol. Biol. 1995;3:21–29. - PubMed

Publication types

Substances