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IBB POSTECH

Faculty

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Lab : System Genomics, Biochemistry
Office : + 82-54-279-2350 / Lab :+ 82-54-279-8188
Homepage : sysgen.postech.ac.kr/
E-Mail :

Profile

Assistant Professor
Division of Molecular and Life Sciences
System Genomics, Biochemistry


2002
2002-2007
2007-2008

Ph.D. Seoul National University
Visiting Fellow, National Institutes of Health, Lab of Molecular Immunology
Research Fellow, National Institutes of Health, Lab of Molecular Immunology 


Research Interests

In the post genome era, the importance of genomics, the study of an entire genome and epigenetics, heritable changes in gene expression patterns independent of DNA itself, has been raised. Our group is interested in the genome-wide analysis of epigenetic markers associated with cell growth, differentiation, senescence, and development of disease and systematic approach to the mechanism underlying epigenetic effects using one of next generation sequencing platforms (Illumina Genome Analyzer II).





1. Epigenetic modification
Comparative epigenetic information of normal/cancer cells or stem cells/differentiated cells could provide a valuable clue to identify targets for disease diagnosis and treatment.

2. Genome function
Transcriptional regulation occurs via interactions between proteins and functional elements on DNA. Novel functional elements could be found by intensive analysis of epigenome data.

3. Construction of database for epigenome and development of data analysis tool
Databases for high resolution and high throughput data generated from next generation sequencing will be constructed and applied to understand the molecular basis of individual gene transcription.


Selected Publications

In the post genome era, the importance of genomics, the study of an entire genome and epigenetics, heritable changes in gene expression patterns independent of DNA itself, has been raised. Our group is interested in the genome-wide analysis of epigenetic markers associated with cell growth, differentiation, senescence, and development of disease and systematic approach to the mechanism underlying epigenetic effects using one of next generation sequencing platforms (Illumina Genome Analyzer II).





1. Epigenetic modification
Comparative epigenetic information of normal/cancer cells or stem cells/differentiated cells could provide a valuable clue to identify targets for disease diagnosis and treatment.

2. Genome function
Transcriptional regulation occurs via interactions between proteins and functional elements on DNA. Novel functional elements could be found by intensive analysis of epigenome data.

3. Construction of database for epigenome and development of data analysis tool
Databases for high resolution and high throughput data generated from next generation sequencing will be constructed and applied to understand the molecular basis of individual gene transcription.