Katy Kao
Assistant ProfessorResearch Page
Telephone: (979) 845-5571
Fax Number: (979) 845-6446
E-mail: Katy@chemail.tamu.edu
Mailing Address...
212 Jack E. Brown Engineering Building
3122 TAMU
College Station, TX 77843-3122
Education
B.S., University of California, Irvine
Ph.D., University of California, Los Angeles
Awards & Honors
National Institutes of Health, National Research Service Award 2007
NSF Integrative Graduate Education and Research Traineeship 2000-2003
Research Interests
Dr. Kao’s research focuses on genomics, systems biology and biotechnology. Her laboratory is interested in using genomic and system biological tools to study microbial adaptation in various environments. Specifically, Kao is focusing on evolving microorganisms such as yeast and E. coli for enhanced tolerance to the toxicity of desired bioproducts such as biofuels. She also is utilizing ultra-high throughput sequencing technology along with related tools to study the transcriptome and the metabolism in an effort to identify the cellular components responsible for the selected traits.
Selected Publications
Kao, KC, Sherlock, G. “Molecular Characterization of Clonal Interference during Adaptive Evolution in Asexual Populations of Saccharomyces cerevisiae.” Nature Genetics. In press.
Kao, K.C, Tran, L.M., Liao, J.C. “A global regulatory role of gluconeogenic genes in Escherichia coli revealed by transcriptome network analysis.” J. Biol. Chem. 2005 Oct: 280(43): 36079-36087.
Tran LM, Brynildsen MP, Kao KC, Suen JK, Liao JC. “gNCA: A framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation.” Metabolic Engineering. 2005 Mar;7(2):128-41.
Kao KC, Yang YL, Boscolo R, Sabatti C, Roychowdhury V, Liao JC. “Transcriptome-based determination of multiple transcription regulator activities in Escherichia coli by using network component analysis.” Proc Natl Acad Sci U S A. 2004 Jan 13;101(2):641-6.
Hyduke DR, Rohlin L, Kao KC, Liao JC. “A software package for cDNA microarray data normalization and assessing confidence intervals.” OMICS. 2003 Fall;7(3):227-34.



