HanLab is a Bioinformatics and Computational Genetics group at Seoul National University College of Medicine led by Buhm Han.
Our research focuses on developing novel algorithms and software packages that contribute to the genomics and bioinformatics research communities.
We apply techniques from Computer Science, Statistics, and Bioinformatics to develop methods that enhance our understanding of the relationship between genetic variation and traits.
Our lab actively collaborates with clinicians in the Seoul National University Hospital.
HanLab members and alumni are involved in many Bioinformatics training opportunities, which are aimed at advancing interdisciplinary research skills.
Graduate students can pursue Ph.D. in the Department of Biomedical Sciences in Seoul National University College of Medicine, or M.S. or Ph.D. in the Interdisciplinary Program of Bioengineering in Seoul National University.
Our goal is to connect our expertise in Bioinformatics, Computer Sciences, and Statistical Genetics to better diagnosis and treatment of diseases.
Deep learning algorithm to solve problems in genomic analysis
Statistical method for
associaition studies
Inference on alleles for highly polymorphic region in genome
Increase statistical power by aggregating results from studies
Identify genetic difference in
heterogeneous samples
Causal inference without
randomized controlled trial
Analysis on Next Generation
Sequencing data
Genetic understanding of a disease
leads to personalized medicine