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Biological Data Science

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Description of Research Category

We are interested in computational systems biology, starting from molecular dynamics to multi-omics data, to large scale evolution and adaptation in populations. We use integrated data science methods such as artificial intelligence, machine learning, computational modeling, as well as​ applied and theoretical biostatistics


Research Directory

Bio-Data Science and Education Group 
Bioinformatics for Molecular Biology and Genomics
Biomolecular Modeling Lab
​Biomolecular Simulations and Data Analysis Lab
Chromatin Architecture, Transcription and Genomics (CATG) lab
Chromatin Biochemistry and Biophysics​
Chromatin Interactions in Cancer
Plant Systems Biology and Evolution​ ​​​​​​
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