The Seungchan Kim lab (Biocomputing Lab) at TGen focuses on development and application of computational methods to analyze high throughput genomic and transcriptomic data. Our research incorporates statistical and computational tools to study cancer biology, focusing on: 1) identification of biomarkers and/or therapeutic targets for cancers, 2) molecular classification of cancers, and 3) understanding and mathematical modeling of genetic regulatory networks, with the special focus on contextual genomic regulation.
The post-doc is sponsored by several external grants as well as institutional fund which ensure dedicated time for the post-doc’s own research development. The main focus will be to develop and implement computational algorithms and a system to study computationally derived gene regulatory networks, in conjunction with existing public database of signaling pathways. Developed methods will be applied to cancer biomarkers, progression and target discovery, in collaboration with biomedical scientists at TGen.