About the Lee Lab

We are particularly interested in a bioinformatics approach in order​  to understand genome variation in complex human disease and develop research infrastructure for characterizing biological mechanisms connecting genotype to phenotype, with emphasis on alternative splicing as an important source of molecular diversity.


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Dr. Younghee Lee

Assistant Professor

Department of Biomedical Informatics 

University of Utah School of Medicine

Latest Lab News


Aug. 2016  Younghee Lee invited to present a talk at the Korea Basic Science Institute, Korea


Aug.2016  Younghee Lee invited to present a talk at the Bioinfo 2016, Korea. http://medicine.utah.edu/dbmi/news/2016/younghee-lee-facelli.php 


Aug.2016  Seonggyun Han joined as a Research Scholar


May 2016  Younghee Lee invited to present a talk at the Center for Biomedical Informatics & Biostatistics, University of Arizona 


Apr. 2016  Dongwook Kim joined as a Research Scholar


​Mar. 2016  The manuscript "Integrative genomics analyses unveil downstream biological effectors of disease-specific polymorphisms buried in intergenic regions" has been accepted in Nature Genomic Medicine.


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Bioinformatics and Genomics Lab

​​​​For decades, high throughput technologies have successfully captured diverse genome-wide sequence information, quantitative gene expression, and regulatory information. The generation of huge volumes of data by these technologies, ‘omics’ have made remarkable contributions to building a comprehensive list of functional elements in the human genome. We are still learning how to translate these data into biological and clinical knowledge. The primary challenge at hand is determining how to connect genotype with phenotype using those data. Our research contributes to this endeavor by focusing on the study of characterizing the systems-level properties and genetic/molecular basis of human disease by integrating and interpreting genomics and transcriptomics data.