Sung-Hou Kim

Research Expertise and Interest

computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity

Research Description

Structural and computational genomics/proteomics: Sung-Hou Kim's research team develop computational methods to map demography of organisms and to infer their evolutionary relationship based on their whole genome sequence information without sequence alignment by using variations of text searching and comparing algorithms, developed in computer sciences. They apply these methods to protein structures, protein sequences, and whole genome sequences with or without non-coding sequences. They also apply the methods, combined with machine learning, to disease genomics.  Specific topics include: Whole genome Tree of Life; Mapping the protein structure universe; Genomic origin of organism diversity; Genomic susceptibility for common diseases such as cancer, neurological diseases, autoimmune diseases, and other chronic diseases. 

In the News

Three faculty members elected AAAS fellows

Three senior UC Berkeley faculty members have been elected fellows of the American Association for the Advancement of Science, the nation’s largest scientific organization: Allen Goldstein, Sung-Hou Kim and Katherine Yelick.
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