Research

Biodata Science Center

The Biodata Science Center, led by Prof. Choongwon Jeong, sits within IDIS and manages the project “Life Big Data Analysis and Innovation”, which aims to transform research methodologies by utilizing big data across various biological levels, including genomics, proteomics, metabolomics, and connectomics. This initiative focuses on the following key areas:
Key Objectives and Activities:
1. Innovation in Research Methodologies:
  • Transition to “data-driven discovery research” methodologies based on big data at all levels of biological phenomena.
  • Lead the production, analysis, and theoretical interpretation of rapidly advancing life sciences big data.
2. Leadership in Basic Life Sciences and Promotion of Interdisciplinary Research:
  • Pioneering the application of data-driven discovery research methodologies in basic life sciences.
  • Foster interdisciplinary research by integrating data accumulated across various fields of life sciences, developing, and sharing common research methodologies like data mining and machine learning.
Research Groups and Sub-Projects:

1. Big Data-Based Ecology and Evolution Research Team (Choongwon Jeong):

B-1-1:

Genetics (Population/Human Genetics): Study on the evolutionary model of base sequence variation at the genus level. (Choongwon Jeong, LAMP faculty)

B-1-2:

Infection Biology (Prokaryote-Host Interaction): Molecular mechanisms of host-pathogen interactions based on multi-omics. (Jinki Yeom, LAMP faculty)

B-1-3:

Classification/Ecology/Environmental Biology (Plant Ecology): Study on complex ecological interactions based on multi-omics. (Youngsung Joo, LAMP faculty)

B-1-4:

Classification/Ecology/Environmental Biology (Environmental Biology): Study on the diversity and ecological function of symbiotic microorganisms in marine zooplankton. (Chung Yeon Hwang, LAMP faculty)

2. Big Data-Based Neuroscience Research Team (Hyoung F. Kim):

B-2-1:

Neurobiology (Brain Cognition/Neuroinformatics): Understanding the mechanisms of natural intelligence based on primate brain cognition-behavior models. (Hyoung F. Kim, LAMP faculty)

B-2-2:

Neurobiology (Systems/Neurobehavioral Science): Fundamental understanding of brain activity through big data theoretical interpretation. (Hyeyoung Shin, LAMP faculty)

B-2-3:

Neurobiology (Brain Cognition/Neuroinformatics): Scientific modeling of brain cognitive development and changes throughout the life cycle. (Sang Ah Lee, LAMP faculty)

3. Big Data-Based Biomolecule and Cell Research Team (Je-Kyung Ryu):

B-3-1:

Structural Biology/Biophysics (Biophysics): AI-based prediction of protein dynamics. (Je-Kyung Ryu, LAMP faculty)

B-3-2:

Analytical Chemistry (Bioanalytical Chemistry): Understanding interactions between microbial and human biomolecules based on mass spectrometry. (Hankum Park, LAMP faculty)

B-3-3:

Physics (Biophysics): Study on tissue development and disease mechanisms through spatial multi-omics composition. (Jae Kyoo Lee, LAMP faculty)

This project is supported by the SNU Center for LAMP project and aims to establish a solid foundation for leading life sciences research by advancing data-driven methodologies, fostering interdisciplinary collaboration, and facilitating new discoveries in various biological domains.