Duke University · Mathematics & StatisticsGenomic Variation and Regulation Lab
Andrew S Allen · Durham, North Carolina
Research Focus
Dr. Andrew S. Allen's lab at Duke University focuses on understanding how noncoding genetic variations affect gene regulation and contribute to diseases. The research aims to develop innovative tools and statistical methods for annotating these variations, which are often overlooked but play critical roles in health and disease. By integrating machine learning approaches with genomic data, the lab seeks to improve predictions about how genetic variations influence patient outcomes.
noncoding variationgene regulationmachine learninggenomic annotationdisease geneticsperturbation assaysfunctional predictionregulatory elementspathogenicitygenetic variation
Research Aims
3AIM 01Establish best practices for the design and analysis of perturbation assays.
AIM 02Develop novel machine learning methods to predict the effects of noncoding variations.
AIM 03Identify noncoding genomic regions under functional constraint to prioritize variants for study.
Skills the Lab Values
machine learningstatistical modelingdata analysisgenomic sequencingexperimental designbiological assaysdata visualizationPython programmingregulatory element mappingcell-type specific analysis
Output against the department
Publications251top 45% of dept.59th of 131
this lab
most publishedleast published
Citations9.5ktop 43% of dept.56th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.