Research focus
About the research
How can a person's genome sequence predict expression levels of any gene in that person?
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The Brent Lab maps which genes are regulated by each transcription factor in yeast and Cryptococcus using computational and experimental methods to define regulatory targets. The group is applying computational TF-target mapping methods to integrate diverse human datasets and identify regulatory networks across humans. Researchers develop quantitative models that predict gene expression level from genome sequence by combining statistics, network analysis, and machine learning. The lab participates in the Long Life Family Study to find genetic variants associated with longevity by integrating DNA sequence, DNA methylation, and gene expression data.
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