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• W2097477438 abstract "Identifying the nucleotides that cause gene expression variation is a critical step in dissecting the genetic basis of complex traits. Here, we focus on polymorphisms that are predicted to alter transcription factor binding sites (TFBSs) in the yeast, Saccharomyces cerevisiae. We assembled a confident set of transcription factor motifs using recent protein binding microarray and ChIP-chip data and used our collection of motifs to predict a comprehensive set of TFBSs across the S. cerevisiae genome. We used a population genomics analysis to show that our predictions are accurate and significantly improve on our previous annotation. Although predicting gene expression from sequence is thought to be difficult in general, we identified a subset of genes for which changes in predicted TFBSs correlate well with expression divergence between yeast strains. Our analysis thus demonstrates both the accuracy of our new TFBS predictions and the feasibility of using simple models of gene regulation to causally link differences in gene expression to variation at individual nucleotides." @default.
• W2097477438 created "2016-06-24" @default.
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• W2097477438 date "2010-01-01" @default.
• W2097477438 modified "2023-10-16" @default.
• W2097477438 title "Correlating Gene Expression Variation with cis-Regulatory Polymorphism in Saccharomyces cerevisiae" @default.
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• W2097477438 doi "https://doi.org/10.1093/gbe/evq054" @default.
• W2097477438 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2953268" @default.
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• W2097477438 hasPublicationYear "2010" @default.
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