2026
In a 2026 Nucleic Acids Research paper co-authored by Yejin Kwak, we present a broadly usable method for conditionally turning off genes across many species, including fish and human induced pluripotent stem cells.
Read moreDecoding Biology
Through Data & AI
We apply AI to large-scale biomedical data, turning complex datasets into biological and clinical insight.
Research Highlights
Single Cell & Spatial Omics
Mapping cell types in tissue and resolving cellular heterogeneity — from spatial transcriptomics to single-cell data.
Learn more
CRISPR Informatics
Widely-used web tools for CRISPR guide design and off-target analysis.
Learn more
AI & Machine Learning
Deep and probabilistic models for biology — and AI as a daily research tool.
Learn moreAbout Our Lab
The Computational Omics Laboratory at Pusan National University analyzes large-scale biomedical data using machine learning and probabilistic methods. We work across spatial omics, single-cell omics, and CRISPR informatics — and we use AI as a daily research tool — to turn complex datasets into biological and clinical insight.
Meet the team44
Publications
8
Lab Members
2022
Established
10+
Open-Source Tools
News
2026
In bioRxiv in 2026, we presented a way to create bioinformatics pipelines from natural-language prompts so they are easier to reproduce and share, led by Hyeonmin Kim and Abyot Melkamu Mekonnen.
Read more 2026
In an Advanced Biology (2026) study led by Sohui Kim, we demonstrate that a lung microphysiological system can effectively validate a novel cell therapy for treating acute respiratory distress syndrome.
Read more 2025
In a Genomics & Informatics (2025) study, we propose a framework for transparent and reproducible AI-assisted research paper writing.
Read moreRecent Publications
View all publicationsUniversal conditional knockout approach to multiple species, from fish to human induced pluripotent stem cells
Jung-Hwa Choi, Jihoon Moon, Youngchul Oh, Thomas M Klompstra, Yujin Kim, Gayoung Baek, Yejin Kwak, Yeongjun Kim, Sangmin Lee, Sujin Park, Jeongmin Ha, Ohbin Kwon, Young Ki Choi, Jeong Hun Kim, Ji-Hyun Lee, Jeongbin Park, Jong Kyoung Kim, Dong Ho Woo, Ki-Jun Yoon, Bon-Kyoung Koo, Heetak Lee
Nucleic Acids Research 54(9):gkag480
Reproducible and shareable bioinformatics pipelines from natural-language prompts
Hyeon-Min Kim, Hwayeon Jeong, Abyot Melkamu Mekonnen, Yeongjun Kim, Youngchul Oh, Heetak Lee, Cheulhee Jung, Jeongbin Park
bioRxiv:2026.05. 28.719125
Lung Microphysiological System Validates Novel Cell Therapy for Acute Respiratory Distress Syndrome
Bokyong Kim#, So‐Hui Kim#, Jieun Kim, Eun‐Young Eo, Hyung‐Jun Kim, Jae Ho Lee, Choon‐Taek Lee, Taeho Kong, Su Kyoung Seo, Seunghee Lee, Jeongbin Park*, Young‐Jae Cho*
Advanced Biology 10(1):e00225
Towards a transparent and reproducible AI-assisted research paper writing
Jeongbin Park
Genomics & Informatics 23(1):26
READRetro web: A user-friendly platform for predicting plant natural product biosynthesis
Yejin Kwak, Taein Kim, Sang-Gyu Kim, Jeongbin Park
Molecules and Cells 48(8):100235
From spots to cells: Cell segmentation in spatial transcriptomics with BOMS
Ocima Kamboj, Jeongbin Park, Oliver Stegle, Fred A Hamprecht
PloS one 20(6):e0311458
Join our lab
Interested in biomedical informatics? We welcome self-motivated students from diverse backgrounds. Apply now.
See admission info