top of page

Junho Kim, Ph.D.

  CONTACT INFORMATION  

 

Translational Genome Informatics Laboratory

Dept. of Biomedical Systems Informatics

Yonsei University College of Medicine

50-1 Yonsei-ro, Seodaemun-gu,

Seoul 03722, South Korea.

Office: +82-2-2228-2487

  RESEARCH AREAS  

 

something

  SHORT BIOGRAPHY  

 

Youjin majored Genetic Engineering in Kyunghee University 2018 and joined Translational Genome Informatics Laboratory, Yonsei University on January 2018. She is studying happily more in depth of Bioinformatics with the attitude of scientist and working to develop useful algorithms that can be standardized and used universally in the community. She is especially interested in mosaicism and development of computational algorithms for its accurate detection.

  EDUCATION  

  • Ph.D. in 전공, 학교, 시, Korea. 

Dissertation: Combined analysis of transcriptome and metabolome
Advisor: Prof
. Doheon Lee

  • M.S. in 전공, 학교, 시, Korea.                

Thesis: An Efficient Clustering Algorithm for Categorical Data Sets
Advisor: Prof. Yoon Jun Lee

 

  • B.S. in 전공, 학교, 시, Korea. 

  ACADEMIC EXPERIENCES  

  • Assistant Professor, School of Information and Communications, Gwangju Institute of Science and Technology (GIST)

Feb. 2013 - Present.

  • Systems Biology Research Group, Dept. of Bioengineering,  University of California, San Diego, CA USA

Aug. 2009 - Feb. 2013.         Postdoctoral Researcher

 

  • Dept. of Bio and Brain Engineering, KAIST, Daejeon, Korea

Mar. 2009 - July 2009.     Postdoctoral Researcher
Mar. 2004 - Jan. 2009.    Graduate Researcher
Mar. 2004 - Jan. 2008.    Teaching Assistant

  • German Cancer Research Center, Heidelberg, Germany

June 2005 - July 2005.     Visiting Researcher

  PUBLICATIONS  

JOURNAL (Peer Reviewed)

  1. Junho Kim, Sanghyeon Kim, Hojung Nam, Sangwoo Kim, Doheon Lee, "SoloDel: A probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data", Accepted.

  2. Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam*, "Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation", BMC Medical Informatics and Decision Making 2015, 15(Suppl 1):S6  doi:10.1186/1472-6947-15-S1-S6

  3. Hojung Nam*, Miguel Campodonico, Aarash Bordbar, Daniel R. Hyduke, Sangwoo Kim, Bernhard O. Palsson* (*co-corresponding), "A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks",  PLoS Comput Biol, 10(9): e1003837. doi:10.1371/journal.pcbi.1003837.

Conference Proceedings and Presentations (peer reviewed)

  1. Junho Kim, Sanghyeon Kim, Hojung Nam, Sangwoo Kim, Doheon Lee, "SoloDel: A probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data", Accepted.

  2. Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam*, "Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation", BMC Medical Informatics and Decision Making 2015, 15(Suppl 1):S6  doi:10.1186/1472-6947-15-S1-S6

  3. Hojung Nam*, Miguel Campodonico, Aarash Bordbar, Daniel R. Hyduke, Sangwoo Kim, Bernhard O. Palsson* (*co-corresponding), "A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks",  PLoS Comput Biol, 10(9): e1003837. doi:10.1371/journal.pcbi.1003837.

Journal Papers (in preparation)

  1. Junho Kim, Sanghyeon Kim, Hojung Nam, Sangwoo Kim, Doheon Lee, "SoloDel: A probabilistic model for detecting low-frequent somatic deletions from unmatched sequencing data", Accepted.

  2. Seunghwan Jung, Sejoon Lee, Sangwoo Kim, Hojung Nam*, "Identification of Genomic Features in the Classification of Loss- and Gain-of-Function Mutation", BMC Medical Informatics and Decision Making 2015, 15(Suppl 1):S6  doi:10.1186/1472-6947-15-S1-S6

  3. Hojung Nam*, Miguel Campodonico, Aarash Bordbar, Daniel R. Hyduke, Sangwoo Kim, Bernhard O. Palsson* (*co-corresponding), "A systems approach to predict oncometabolites via context-specific genome-scale metabolic networks",  PLoS Comput Biol, 10(9): e1003837. doi:10.1371/journal.pcbi.1003837.

CONFERENCES AND SEMINARS

 

National Cancer Center (NCC, 국립암센터), "Enzyme specificity analysis & Prediction of oncometabolites in cancer", July 2013

AWARDS

 

Doheon Lee, Bong Chul Chung, Hojung Nam, "Marker for diagnosis of papillary thyroid cancer comprising 3-indoleacetonitrile", Application No.1020090059270 (Korea)(2009.06.30)

  PATENTS  

 

Doheon Lee, Bong Chul Chung, Hojung Nam, "Marker for diagnosis of papillary thyroid cancer comprising 3-indoleacetonitrile", Application No.1020090059270 (Korea)(2009.06.30)

FUNDING GRANTED

 

something

  SKILLS  

 

Omics- data analysis experiences:

Gene expression (Affymatrix, NimbleGen tiling array), ChIP-chip, Illumina sequencing data, GC-MS, KEGG pathway, Gene Ontology

Programming languages:

C, Java, Python, MATLAB, R

  ACTIVITY & AWARDS  

Last Update: July 22, 2013

bottom of page