Bioinformatics innovations, applications and education

Digital Biology Laboratory (DBL) is a research and education powerhouse in bioinformatics and computational biology. DBL develops novel computational methods, algorithms, software and information systems, and applies these tools and other informatics resources for various biological and medical problems.

DBL is adaptable and able to recognize new opportunities and explore new areas in bioinformatics, maintaining a cutting-edge research program. In recent years, it focuses on the interface between bioinformatics and deep learning. DBL has dozens of collaborators worldwide. It also trained more than 200 members, including postdoctoral fellows, students at all levels, and visiting researchers.

Our Team

Featured Publications

Neural relational inference to learn longrange allosteric interactions in proteins from molecular dynamics simulations

 

Nature Communications

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G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers

 

Nucleic Acids Research

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Multi-label mRNA subcellular Localization Prediction and Analysis Based on Multi-head Self-attention Mechanism.

 

Nucleic Acids Research

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scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

 

Nature Communications

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