top of page

Soobok Joe

Name

Soobok Joe, Ph.D. student

​

Contact Information

Computational Systems Biology Lab.

School of Electrical Engineering and Computer Science (EECS) 

Gwangju Institute of Science and Technology (GIST)

123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea

Mobile : +82-10-6820-3885

Office : +82-62-715-2287

E-mail : soobok@gist.ac.kr

​

Research Areas

Bioinformatics, DNA methylation & Gene expression analysis, Genomic sequence analysis,

Cancer marker, Epi-genomics, etc.

​

Education

  • M.S. in Information and Communications, GIST, Gwangju, Korea.  

      Thesis: Genomic Analysis of Pathogenic E. coli strains through Next-Generation Sequencing Data

      Advisor: Prof. Hojung Nam

  • B.S. in Mathematics, Chonnam Univ., Gwangju, Korea 

​

Publications (Peer Reviewed)

  • Soobok Joe , Hojung Nam*, "Prediction model construction of stem cell pluripotency using CpG and non-CpG DNA methylation markers", BMC Bioinformatics, 2020 21:175.

  • Heeyeon Choi, Soobok Joe, Hojung Nam*, "Development of Tissue-Specific Age Predictors Using DNA Methylation Data", Genes 2019, 10(11), 888.

  • Soobok Joe, Hojung Nam*, "Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles", BMC Medical Informatics and Decision Making, 2016 16(Suppl 1):56.

​

Conferences/Presentations

  • Heeyeon Choi, Soobok Joe, Hojung Nam*, "Development of Tissue-Specific Age Predictors Using DNA Methylation Data", 15th International Conference on Bioinformatics (BIOINFO 2019), Seoul, Korea, August 26–27, 2019

  • Soobok Joe, Hojung Nam*, "Prediction of stem cell pluripotency using parallel single-cell transcriptome and methylome sequencing data", ISMB/ECCB 2017, Prague Congress Center, Czech Republic, July 21~25, 2017 (poster)

  • Soobok Joe, Hojung Nam*, "Prediction of Stem Cell Pluripotency using Transcriptome and Methylome Sequencing Data", The 13th KOGO Winter Symposium 2017, Hongcheon, Korea, Feb 8~10, 2017 (poster, best award)

  • Soobok Joe, Hojung Nam*, "Genomic Analysis of Pathogenic E. coli strains through Next-Generation Sequencing Data", KSBSB 2014, Seoul, Korea, Nov. 12-14, 2014, (poster, excellence award)

  • Soobok Joe, Hojung Nam*, "Identification of a Specific Base Sequence of Pathogenic E. coli through a Genomic Analysis", Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, Shanghai, China, Sep. 7, 2014. pp. 25~28.

  • Seunghwan Jung, Soobok Joe, Hojung Nam*, "Analysis of Functional Impacts on Massive Cancer Mutation Data", The 3rd Annual Translational Bioinformatics Conference (TBC 2013) / ISCB-Asia 2013, JW Marriott, Seoul, Korea,  Oct. 2nd ~ 4th, 2013 (poster)

​

Patents

  • 유전자 발현 데이터를 통한 유방암 환자 예후 판단 방법, 남호정,조수복, 10-1941011, 2019,(Korea)

  • METHOD FOR DETERMINING PROGNOSIS OF BREAST CANCER PATIENT BY USING GENE EXPRESSION DATA, Hojung Nam, Soobok Joe, 15/726.999, US, 2018

​

Skills

  • Omics-data analysis (Microarray based Gene expression analysis, NGS based data analysis: RNA, DNA, Bisulfite sequencing data analysis, Gene Ontology, etc.)

  • Programming languages (Matlab, R, Python)

​

Activities & Awards

  • 2015 - 2020. Full government scholarship (Ph.D. program).

  • 2013 - 2014. Full government scholarship (M.S. program).

  • The 13th KOGO Winter Symposium 2017 (poster, best award)

  • GUP(Global University Project) excellence award in GIST, 2016

  • A student representative of School of Electrical Engineering and Computer Science in GIST, 2016

  • KSBSB academic conference, 2014 (poster, excellence award)

bottom of page