[초청강연] Precision Medicine: Omics and Clinical Data

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.