Plant Computational Genomics Lab
Chungnam National University
충남대학교 식물 빅데이터 유전체 실험실
Chungnam National University
충남대학교 식물 빅데이터 유전체 실험실
Our lab aims to build crop genomic big data through a multidisciplinary approach including genomics, phenomics, and bioinformatics, and to develop AI-based predictive breeding technology. Through this, we aim to secure the sustainability of future food production and contribute to human health and well-being.
Members of the PCGL study bioinformatics, plant genomics, and plant genetics. We always welcome those who are interested and passionate in these fields.
Meet Our Team →Genome assembly, annotation, comparative genomics and evolutionary study of crop species.
Machine learning and deep learning models for genomic selection and predictive breeding.
Large-scale genomic database construction and computational pipeline development.
High-throughput plant phenotyping integrated with multi-omics data.