Find Research Labs maintains this page using public sources. The faculty member, lab, and university have not claimed or approved this listing. Listing a lab does not indicate endorsement, partnership, or a recruiting opportunity.
How can a person's genome sequence predict expression levels of any gene in that person? 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.
Research focus
What this lab works on
transcription factorsgene regulationcomputational genomicsmachine learningLong Life Family Study
Use the official faculty profile or website for the complete publication record.
People
Current and previous researchers
Alumni details have not been added.
See the official lab website for its alumni record. The lab can claim this profile to add previous researchers and their destinations.
Data provenance
Sources
This profile is curated by Find Research Labs from the public sources below. Listing information may change; consult the official sources for current details. Recruiting availability is unconfirmed.
