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ABSTRACT: Background
Conventional wisdom holds that, owing to the dominance of features such as chromatin level control, the expression of a gene cannot be readily predicted from knowledge of promoter architecture. This is reflected, for example, in a weak or absent correlation between promoter divergence and expression divergence between paralogs. However, an inability to predict may reflect an inability to accurately measure or employment of the wrong parameters. Here we address this issue through integration of two exceptional resources: ENCODE data on transcription factor binding and the FANTOM5 high-resolution expression atlas.Results
Consistent with the notion that in eukaryotes most transcription factors are activating, the number of transcription factors binding a promoter is
SUBMITTER: Hurst LD
PROVIDER: S-EPMC4310617 | biostudies-literature | 2014 Jul
REPOSITORIES: biostudies-literature