We introduce a method (MONKEY) to identify conserved transcription-factor binding sites in multispecies alignments. MONKEY employs probabilistic models of factor specificity and binding site evolution, on which basis we compute the likelihood that putative sites are conserved and assign statistical significance to each hit. Using genomes from the genus Saccharomyces, we illustrate how the significance of real sites increases with evolutionary distance and explore the relationship between conservation and function
Abstract Background Algorithms that locate evolutionarily conserved sequences have become powerful t...
The binding sites of sequence specific transcription factors are an important and relatively well-un...
A major challenge in life sciences is the understanding of mechanisms that regulate the expression o...
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a bind...
Comparative genomics provides a rapid means of identifying functional DNA elements by their sequence...
Motivation: A variety of algorithms have been developed to predict transcription factor binding site...
Despite the fact that each cell in an organism has the same genetic information, it is possible that...
Identifying transcription factor binding sites (TFBSs) is essential to elucidate putative regulatory...
Identifying genomic locations of transcription-factor binding sites (TFBS), particularly in higher e...
Elucidating the mechanisms of transcriptional regulation relies heavily on the sequence annotation o...
<div><p>Changes in cis-regulatory element composition that result in novel patterns of gene expressi...
Changes in cis-regulatory element composition that result in novel patterns of gene expression are t...
Transcription factor binding sites (TFBS) are usually, but not always, conserved during evolution. T...
Background: The binding sites of sequence specific transcription factors are an important and relat...
Background: The binding sites of sequence specific transcription factors are an important and relati...
Abstract Background Algorithms that locate evolutionarily conserved sequences have become powerful t...
The binding sites of sequence specific transcription factors are an important and relatively well-un...
A major challenge in life sciences is the understanding of mechanisms that regulate the expression o...
MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a bind...
Comparative genomics provides a rapid means of identifying functional DNA elements by their sequence...
Motivation: A variety of algorithms have been developed to predict transcription factor binding site...
Despite the fact that each cell in an organism has the same genetic information, it is possible that...
Identifying transcription factor binding sites (TFBSs) is essential to elucidate putative regulatory...
Identifying genomic locations of transcription-factor binding sites (TFBS), particularly in higher e...
Elucidating the mechanisms of transcriptional regulation relies heavily on the sequence annotation o...
<div><p>Changes in cis-regulatory element composition that result in novel patterns of gene expressi...
Changes in cis-regulatory element composition that result in novel patterns of gene expression are t...
Transcription factor binding sites (TFBS) are usually, but not always, conserved during evolution. T...
Background: The binding sites of sequence specific transcription factors are an important and relat...
Background: The binding sites of sequence specific transcription factors are an important and relati...
Abstract Background Algorithms that locate evolutionarily conserved sequences have become powerful t...
The binding sites of sequence specific transcription factors are an important and relatively well-un...
A major challenge in life sciences is the understanding of mechanisms that regulate the expression o...