일시: 2022-12-05 17:00 ~ 19:00
발표자: Daehee Hwang (SNU School of Biological Sciences)
담당교수: 생명과학부
장소: 대면 | 목암홀(Mokam Hall) https://snu-ac-kr.zoom.us/j/94428091882
Precision Medicine: Omics and Clinical Data
Daehee Hwang
School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea
As huge amounts of global data (genomic, epigenomic, transcriptomic, proteomic, and
metabolomic) generated from a broad spectrum of specimens collected from human patients
have been accumulated in public repositories, together with electronic health records and drug
treatment information, biology is now becoming an informational science. Accordingly, there
have been significant needs for bioinformatic methods that can effectively extract useful
information from these data. However, such information extraction has been hampered by the
intrinsic characteristics of biological data: 1) complex entanglement of information related to
causes and effects via feedback loops; and 2) prevalent of frequent information irrelevant to
given questions. In this talk, I will present several representative studies in which various
bioinformatics and systems approaches were developed for prioritization of causative
information and identification of relevant information from omics data from complex diseases.