• Kwon, Taejoon (Kwon, Taejoon)

  • Assistant Professor
  • Functional genomics to understand human disease
  • Current Research Interests

  • Our group studies the function of human genes involved in diseases based on their deep homology in multiple organisms. By analyzing large-scale functional genomic data in multiple organisms, we computationally infer the role of uncharacterized genes (or novel function of already characterized genes) in phenotypes that we are interested in. We also validate our predictions in model organisms by high-throughput systems biology experiments.


  • Biographical Sketch

    • 2015~current Assistant Professor, Department of Biomedical Engineering, UNIST
    • 2012~2015 Postdoctoral Researcher, University of Texas at Austin, USA
    • 2001~2005 Researcher, Samsung Advanced Institute of Technology, Korea
    • 2012 Ph. D. in Cell and Molecular Biology, University of Texas at Austin, USA
    • 2006 M. Phil. in Computational Biology, University of Cambridge, UK
    • 2000 M. S. in Chemical Engineering, Seoul National University, Korea
    • 1998 B. S. in Chemical Engineering, Seoul National University, Korea
  • Selected Publications

    • Kwon T*, Chung M-I*, Gupta R, Baker JC, Marcotte EM, Wallingford JB (2014) Identifying direct target of transcription factor Rfx2 that coordinate ciliogenesis and cell movement, Genomics Data,2:192-194Chung M-I*, Kwon T*, Tu F, Brooks ER, Gupta R, Meyer M, Baker JC, Marcotte EM, Wallingford JB (2014) Coordinated genomic control of ciliogenesis and cell movement by Rfx2. eLife,3:e01439Kwon T, Huse HK, Vogel C, Whiteley M, Marcotte EM (2014) Protein-to-mRNA ratios are conserved between Pseudomonas strains. J. Proteome Res.,13(5):2370-2380

      Kwon T*, Choi H*, Vogel C, Nesvizhskii AI, Marcotte EM (2011). MSblender: a probabilistic approach for integrating peptide identifications from multiple database search engines. Journal of Proteome Research 10(7):2949-58.

      Huse HK*, Kwon T*, Zlosnik JEA, Speert DP, Marcotte EM, Whiteley M (2010). Parallel evolution in Pseudomonas aeruginosa over 39,000 generations in vivo. mBio 1(4):e00199-10