Title
Transcription Factor Map Alignment Of Promoter Regions
Abstract
We address the problem of comparing and characterizing the promoter regions of genes with similar expression patterns. This remains a challenging problem in sequence analysis, because often the promoter regions of coexpressed genes do not show discernible sequence conservation. In our approach, thus, we have not directly compared the nucleotide sequence of promoters. Instead, we have obtained predictions of transcription factor binding sites, annotated the predicted sites with the labels of the corresponding binding factors, and aligned the resulting sequences of labels - to which we refer here as transcription factor maps ( TF- maps). To obtain the global pairwise alignment of two TF- maps, we have adapted an algorithm initially developed to align restriction enzyme maps. We have optimized the parameters of the algorithm in a small, but well- curated, collection of human - mouse orthologous gene pairs. Results in this dataset, as well as in an independent much larger dataset from the CISRED database, indicate that TF-map alignments are able to uncover conserved regulatory elements, which cannot be detected by the typical sequence alignments.
Year
DOI
Venue
2006
10.1371/journal.pcbi.0020049
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
nucleotide sequence,restriction mapping,sequence analysis,transcription factor,algorithms,transcription factor binding site,restriction enzyme,sequence alignment,computational biology,transcription factors
Sequence alignment,Promoter,Gene,DNA binding site,Biology,Nucleic acid sequence,Orthologous Gene,Bioinformatics,Genetics,Consensus sequence,Sequence analysis
Journal
Volume
Issue
ISSN
2
5
1553-7358
Citations 
PageRank 
References 
5
0.53
19
Authors
4
Name
Order
Citations
PageRank
Enrique Blanco11036.24
Xavier Messeguer222732.13
Temple F. Smith313973.26
Roderic Guigó423128.29