2000
DOI: 10.1093/bioinformatics/16.8.739
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TRES: comparative promoter sequence analysis

Abstract: Comparative promoter analysis is a promising strategy for elucidation of common regulatory modules conserved in evolutionarily related sequences or in genes showing common expression profiles. To facilitate such analysis, we have developed a software tool that detects conserved transcription factor binding sites, cis-elements, palindromes and k-tuples simultaneously in a set of sequences, and thus helps to identify putative motifs for designing further experiments.

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Cited by 12 publications
(8 citation statements)
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“…Additionally, there are no E2F sites in the PR enhancer, and PR is not known to be regulated through the cell cycle. Rather, a transcription regulatory element search (TRES) of the core region of this PR enhancer identified conserved sites for AP4, E47, Sox-5, and HOXA9 (18). Since the PR enhancer is now a well-characterized endogenous target sequence that is regulated by both increased and decreased cyclin D1 levels, identification of combinations of transcription factors involved in its regulation would be important to gain a better understanding of mechanisms explaining cyclin D1's role in gene expression control.…”
Section: Vol 30 2010 Estrogen-progesterone-cyclin D1 Effects 3123mentioning
confidence: 99%
“…Additionally, there are no E2F sites in the PR enhancer, and PR is not known to be regulated through the cell cycle. Rather, a transcription regulatory element search (TRES) of the core region of this PR enhancer identified conserved sites for AP4, E47, Sox-5, and HOXA9 (18). Since the PR enhancer is now a well-characterized endogenous target sequence that is regulated by both increased and decreased cyclin D1 levels, identification of combinations of transcription factors involved in its regulation would be important to gain a better understanding of mechanisms explaining cyclin D1's role in gene expression control.…”
Section: Vol 30 2010 Estrogen-progesterone-cyclin D1 Effects 3123mentioning
confidence: 99%
“…In light of different regions of vertebrate genomes diverging at dissimilar rates (43) and this heterotachy being witnessed across different classes of mutation and lineages (44), this study utilized a variety of comparative alignment and transcription factor binding site search techniques with parameters that were appropriate for the evolutionary distances between species in order to detect meaningful evolutionary conserved regions (ECRs). The computational tools included CLUSTAL W (45), T-Coffee (46), GraphAlign (47), ECR Browser (48), Mulan (49), zPicture (50), TRES (51), and TRANSFAC (52).…”
Section: Homology Between Insulin Promotersmentioning
confidence: 99%
“…4C). Bioinformatic analysis of the conserved motif M1 using the TRES web server (TRES: comparative promoter sequence analysis; Katti et al 2000) showed that this conserved motif did not match any of the 222 TRANSFAC consensus binding site positional weight matrices or any of the 5919 experimentally characterized sites present in the TRES database. We also used the recently described software tool STAMP, which is specifically designed to predict the identity or structural class of proteins binding to a given sequence motif (Mahony et al 2007).…”
Section: Genome Research 1425mentioning
confidence: 99%