Jawon Song

Jawon Song

Research Associate

Life Sciences Computing

512-471-7291
jawon@tacc.utexas.edu


Jawon joined TACC in 2012 as a Research Associate in the Life Science Computing Group. She will be carrying out maize epigenomic variation analysis through CyVerse and assisting other biologists to efficiently utilize TACC's high-performance computational resources for conducting their researches.

Prior to TACC, she constructed comparative functional gene network between two photosynthetic systems (maize and rice) at Yonsei University in Seoul, Korea. From 2006 to 2010, Jawon worked on the structural prediction of protein-protein complex using knowledge-based integrated scoring function at Cambridge University. Her research interests include developing an efficient method that integrates multiple types of biological data (Next Generation Sequencing data, proteomic etc.) to enhance the quality of current predictions made.


Areas of Research

Compartative gene network analysis

Protein-protein interaction predictions

Plant epigenetic variations

Current Projects

Maize epigenetic variation analysis

Epigenome Dynamics During DNA Replication


Selected Publications

Eichten SR, Briskine R, Song J, Li Q, Swanson-Wagner R, Hermanson PJ, Waters AJ, Starr E, West PT, Tiffin P, Myers CL, Vaughn MW, Springer NM. Epigenetic and genetic influences on DNA methylation variation in maize populations. Plant Cell. 2013 Aug;25(8):2783-97. doi: 10.1105/tpc.113.114793. Epub 2013 Aug 6

Song J, Fernandez-Recio J, Blundell TL (2011) Developing Protein-protein docking scoring functions, residue-pair propensity-based scoring function, Science and Supercomputing in Europe research highlights, p120-121

Song J, Blundell TL. Developing an integrated, knowledge-based, protein-protein docking scoring function , Intelligent Systems for Molecular Biology (ISMB), Boston, USA (2010)

Song J, Blundell TL. Screening for Near-Native Protein-Protein Docking Complexes: Use of Residue-Pair Propensity Matrices, Young Modellers' Forum 2009, London, UK (2009)


Education

B.S., Biochemistry,
Imperial College London, United Kingdom

M. Res., Structural Biology,
Imperial College London, United Kingdom

Ph.D., Bioinformatics,
University of Cambridge, United Kingdom